跳到主要內容區
  1. 首頁
  2. 校長室

著作與榮譽

●榮譽

★榮獲 2024年度全球前2%頂尖科學家 

★名列「終身科學影響力排行榜」（1960-2020）暨 2020年度全球前2%頂尖科學家

★中國工程師學會傑出工程教授獎

★中國工業職業教育學會傑出人員行政金鐸獎、研究金鐸獎

★中國電機工程學會傑出工程教授獎

★中華民國技職教育學會技職教育傑出成就獎

★教育部所屬機關優秀教育人員

★英國工程及技術學會會士

★中國工程師學會會士

 

●學術著作

   期刊論文｜Journal papers 

  1. K.-H. Luo, H.-P. Tu, Y.-C. Chung, M.-H. Huang, C.-C. Yang, T.-H. Chen, Cheng-Hong Yang, and H.-Y. Chuang, Unveiling the interaction and combined effects of multiple metals/metalloids exposure to TNF-α and kidney function in adults using Bayesian kernel machine regression and quantile-based G-computation, JOURNAL OF TRACE ELEMENTS IN MEDICINE AND BIOLOGY, Vol. 88, 127552, DOI: 10.1016/j.jtemb.2024.127552, Oct. 19, 2024.
  2. Cheng-Hong Yang, T.‐H. Cheung, and L.-Y. Chuang, Application of Deep Learning-based Fuzzy Systems to Analyze the Overall Risk of Mortality in Glioblastoma Multiforme, Machine Learning: Science and Technology, Vol. 5, 045010, DOI 10.1088/2632-2153/ad67a9, Oct. 9, 2024.
  3. K.-H. Luo, H.-P. Tu, H.-C. Chang, C.-C. Yang, W.-C. Weng, T.-H. Chen, Cheng-Hong Yang, and H.-Y. Chuang, Mediation analysis for TNF-α as a mediator between multiple metal exposure and kidney function, Ecotoxicology and Environmental Safety, Volume 283, 116837, DOI: 10.1016/j.ecoenv.2024.116837, Sept. 15, 2024.
  4. S. F. Yang, C.-H. Wu, L.-Y. Chuang, and Cheng-Hong Yang, Forecasting the Incidence Frequencies of Schizophrenia using Deep Learning, Asian Journal of Psychiatry, Vol. 101, 104205, DOI: 10.1016/j.ajp.2024.104205, Aug. 30, 2024.
  5. Cheng-Hong Yang, C.-H. Wu, K.-H. Luo, H.‐C. Chang, S.-C. Wu, and H.-Y. Chuang, Use of Machine Learning Algorithms to Determine the Relationship between Air Pollution and Cognitive impairment in Taiwan, Ecotoxicology and Environmental Safety, Vol. 284, 116885, DOI: 10.1016/j.ecoenv.2024.116885, Aug. 15, 2024.
  6. C.-C. Yang, P.‐H. Chen, Cheng-Hong Yang, C.-Y. Dai, K.-H. Luo, T.‐H. Chen, H.-Y. Chuang and C.‐H. Kuo, Physical Frailty Identification using Machine Learning to Explore the 5-Item FRAIL Scale, Cardiovascular Health Study Index, and Study of Osteoporotic Fractures Index, Frontiers in Public Health, 12:1303958, DOI: 10.3389/fpubh.2024.1303958, May 9, 2024.
  7. Cheng-Hong Yang, P.‐H. Chen, C.-H. Wu, C.-S. Yang, and L.-Y. Chuang, Deep Learning-based Air Pollution Analysis on Carbon Monoxide in Taiwan, Ecological Informatics, 80, 102477, DOI: 10.1016/j.ecoinf.2024.102477, Jan. 14, 2024.
  8. K.-H. Luo, C.-H. Wu, C.-C. Yang, T.-H. Chen, H.-P. Tu, Cheng-Hong Yang, H.-Y. Chuang, Exploring the Association of Metal Mixture in Blood to the Kidney Function and Tumor Necrosis Factor Alpha using Machine Learning Methods, Ecotoxicology and Environmental Safety, 265(2023):115528, DOI: 10.1016/j.ecoenv.2023.115528, Oct. 15, 2023.
  9. P.-W. Su, E. C. Yang, S.-H. Moi, Cheng-Hong Yang, L.-Y. Chuang, Prevalence of Carbapenem Resistance Genes among Acinetobacter baumannii Isolated from a Teaching Hospital in Taiwan, Antibiotics 2023, 12(9), 1357, DOI: 10.3390/antibiotics12091357, Aug. 23, 2023.
  10. Cheng-Hong Yang, T. Molefyane, Y.-D. Lin, Forecasting of Leading Country’s Government Expenditure using Recurrent Neural Network with Gated Recurrent Unit, Mathematics 2023, 11(14), 3085, DOI:10.3390/math11143085, July 12, 2023.
  11. Cheng-Hong Yang, Y.-S. Chen, J.-B. Chen, H.-C. Huang, and L.-Y. Chuang, Application of deep learning to predict the low serum albumin in new hemodialysis patients, Nutrition & Metabolism, 2023, 20:24, DOI:10.1186/s12986-023-00746-z, April 24, 2023.
  12. Cheng-Hong Yang, W.-C. Chen, J.-B. Chen, L.-Y. Chuang, H.-C. Huang, Overall mortality risk analysis for rectal cancer using deep learning-based fuzzy systems, Computers in Biology and Medicine, DOI: 106706, 10.1016/j.compbiomed.2023.106706, March 17, 2023.
  13. Cheng-Hong Yang, B. Lee, P.-H. Jou, Y.-F. Chung, Y.-D. Lin, Analysis and forecasting of international airport traffic volume, Mathematics 2023, 11, 1483, DOI: 10.3390/math11061483, March 17, 2023.
  14. C.-H. Tsai, Y.-D. Lin, Cheng-Hong Yang, C.-K. Wang, L. Chiang, P.-J. Chiang, A Biogeography-Based Optimization with a Greedy Randomized Adaptive Search Procedure and the 2-Opt Algorithm for the Traveling Salesman Problem, Sustainability 2023, 15(6), 5111, DOI: 10.3390/su15065111, March 14, 2023.
  15. Cheng-Hong Yang, C.-F. Lee, and P.-Y. Chang, Export- and Import-Based Economic Models for Predicting Global Trade using Deep Learning, Expert Systems with Applications, 218 (2023), 119590, DOI: 10.1016/j.eswa.2023.119590, Jan. 23, 2023.
  16. Cheng-Hong Yang, M.-F. Hou, L.-Y. Chuang, C.-S. Yang, Y.-D. Lin, Dimensionality reduction approach for many-objective epistasis analysis, Briefings in Bioinformatics, 2023, 24(1), 1–13, bbac512, DOI: 10.1093/bib/bbac512, Jan. 2023.
  17. Y.-H. Cheng, L.-Y. Chuang and Cheng-Hong Yang, Machine Learning Combined with Restriction Enzyme Mining Assists in the Design of Multi-Point Mutagenic Primers, Mathematics 2022, 10(21), 4105; https://doi.org/10.3390/math10214105, Nov. 3, 2022.
  18. Cheng-Hong Yang, G.-C. Lin, C.-H. Wu, Y.-H. Liu, Y.-C. Wang, and K.-C. Chen, Deep Learning for Vessel Trajectory Prediction using Clustered AIS Data, Mathematics, 2022, 10, 2936, DOI:10.3390/math10162936, Aug. 2022.
  19. Cheng-Hong Yang, B.-H. Chen, C.-H. Wu, K.-C. Chen, L.-Y. Chuang, Deep Learning for forecasting Electricity Demand in Taiwan, Mathematics, 2022, 10, 2547, DOI: 10.3390/math10142547, July 2022.
  20. Cheng-Hong Yang, Y.-S. Chen, S.-H. Moi, J.-B. Chen, L. Wang, and L.-Y. Chuang, Machine learning approaches for the mortality risk assessment of patients undergoing hemodialysis, Therapeutic Advances in Chronic Disease, 2022 (13): 1–17, DOI: 10.1177/20406223221119617.
  21. Cheng-Hong Yang, J.-C. Shao, Y.-H. Liu, P.-H. Jou, and Y.-D. Lin, Application of Fuzzy-Based Support Vector Regression to Forecast of International Airport Freight Volumes, Mathematics 2022, 10, 2399, DOI: 10.3390/math10142399, July 2022.
  22. K.-H. Luo, H.-P. Tu, Cheng-Hong Yang, C.-C. Yang, T.-H. Chen, H.-Y. Chuang, Use of Generalized Weighted Quantile Sum Regressions of Tumor Necrosis Factor Alpha and Kidney Function to Explore Joint Effects of Multiple Metals in Blood, International Journal of Environmental Research and Public Health, 2022, 19(12): 7399. DOI: 10.3390/ijerph19127399, June 2022.
  23. Cheng-Hong Yang, Y.-H. Cheng, E. Yang, L.-Y. Chuang, Y.-D. Lin, Multiobjective optimization-driven primer design mechanism: towards user-specified parameters of PCR primer, Briefings in Bioinformatics, 22(3), DOI:10.1093/bib/bbac121, May 2022.
  24. Cheng-Hong Yang, B. Lee, Y.-D. Lin, Effect of money supply, population, and rent on real estate: A clustering analysis in Taiwan, Mathematics 2022, 10, 1155. DOI:10.3390/math10071155, April 2022.
  25. Cheng-Hong Yang, Y.-S. Chen, S.-H. Moi, J.-B. Chen, L.-Y. Chuang, Identifying the association of time-averaged serum albumin levels with clinical factors among patients on hemodialysis using whale optimization algorithm, Mathematics 2022, 10(7), 1030; DOI: 10.3390/math10071030, March 2022.
  26. Cheng-Hong Yang, C.-H. Wu, J.-C. Shao, Y.-C. Wang, and C.-M. Hsieh, AIS-Based Intelligent Vessel Trajectory Prediction using Bi-LSTM, IEEE Access, DOI: 10.1109/ACCESS.2022.3154812, Feb. 2022.
  27. Cheng-Hong Yang, H.-C. Huang, M.-F. Hou, L.-Y. Chuang, Y.-D. Lin, Fuzzy-based multiobjective multifactor dimensionality reduction for epistasis analysis, IEEE-ACM Transactions on Computational Biology and Bioinformatics, DOI:  10.1109/TCBB.2022.3144303, Jan. 2022.
  28. Cheng-Hong Yang, S.-H. Moi, M.-F. Hou, L.-Y. Chuang, L.-D. Lin, Applications of Deep Learning and Fuzzy Systems to Detect Cancer Mortality in Next-Generation Genomic Data, IEEE Transactions on Fuzzy Systems, 29(12), 3833-3844, Dec. 2021.
  29. Cheng-Hong Yang, J.-H. Ren, H.-C. Huang, and L.-Y. Chuang, P.-Y. Chang, Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion, Computational Intelligence and Neuroscience, 9409508, DOI: 10.1155/2021/9409508, Nov. 2021.
  30. M.-L. Shen, C.-F. Lee, H.-H. Liu, P.-Y. Chang, and Cheng-Hong Yang, Effective Multinational Trade Forecasting using LSTM Recurrent Neural Network, Expert Systems with Applications, 182, DOI: 10.1016/j.eswa.2021.115199, Nov. 2021.
  31. H. Wang, L.-P. Chan, C.-C. Wu, H.-H. Hsiao, Y.-C. Liu, S.-F. Cho, J.-S. Du, T.-C. Liu, Cheng-Hong Yang, M.-R. Pan, S.-H. Moi, Progression risk score estimation based on immunostaining data in oral cancer using unsupervised hierarchical clustering analysis: a retrospective study in Taiwan, Journal of Personalized Medicine, 11(9), 908, Sept. 2021.
  32. Cheng-Hong Yang, C.-H. Wu, C.-M. Hsieh, Y.-C. Wang, I.-F. Tseng, S.-H. Tseng, Deep Learning for Imputation and Forecasting Tidal Level, IEEE Journal of Oceanic Engineering, DOI: 10.1109/JOE.2021.3073931, June 2021.
  33. H.-C. Wang, M.-C. Chou, C.-C. Wu, L.-P. Chan, S.-H Moi, M.-R. Pan, T.-C. Liu, Cheng-Hong Yang, Application of the interaction between tissue immunohistochemistry staining and clinicopathological factors for evaluating the risk of oral cancer progression by hierarchical clustering analysis: A case-control study in a Taiwanese population, Diagnostics. 11(6), 925, DOI: 10.3390/diagnostics11060925, May 2021.
  34. W.-C. Lee, W.-H. Kuo, S.-H. Moi, B. Chiu, J.-B. Chen, Cheng-Hong Yang, Associations between circulating markers of cholesterol homeostasis and macrovascular events among patients undergoing hemodialysis, Nutrients, 13 (3), 1014. DOI: 10.3390/nu13031014, March 2021.
  35. M.-L. Shen, C.-F. Lee, H.-H. Liu, P.-Y. Chang, Cheng-Hong Yang, An Effective Hybrid Approach for Forecasting Currency Exchange Rates, Sustainability, 2021, 13(5):2761, DOI: 10.3390/su13052761, March 2021.
  36. S. Yang, H.-C. Chen, C.-H. Wu, M.-N. Wu, Cheng-Hong Yang, Forecasting of the Prevalence of Dementia using the LSTM Neural Network in Taiwan, Mathematics, 2021, 9, 488, DOI: 10.3390/math9050488, Feb. 2021.
  37. Y.-C. Su, C.-Y. Wu, Cheng-Hong Yang, B.-S. Li, S.-H. Moi and Y.-D. Lin, Machine Learning Data Imputation and Prediction of Foraging Group Size in a Kleptoparasitic Spider, Mathematics 2021, 9(4), 415; DOI: 10.3390/math9040415, Feb. 2021.
  38. Cheng-Hong Yang, K.-C. Wu, H.-W. L.-Y. Chuang, DeepBarcoding: Deep Learning for Species Classification using DNA Barcoding, IEEE-ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2021.3056570, Feb. 2021.
  39. J.-B. Chen, H.-S. Yang, S.-H. Moi, L.-Y. Chuang, Cheng-Hong Yang, Identification of mortality-risk-related missense variant for renal clear cell carcinoma using deep learning, Therapeutic Advances in Chronic Disease, 12:1-14, DOI: 10.1177/2040622321992624, Feb. 2021.
  40. W.-C. Lee, J.-B. Cheng, S.-H. Moi, Cheng-Hong Yang, Association of proportion of the HDL-cholesterol subclasses HDL-2b and HDL-3 and macrovascular events among patients undergoing hemodialysis, Scientific Reports, 11:1871, DOI: 10.1038/s41598-021-81636-3, Jan. 2021.
  41. J.-B. Chen, L.-C. Li, W.-C. Lee, S.-H. Moi, Cheng-Hong Yang, Effect of clinical factors on trajectory of functional performance in patients undergoing hemodialysis, Renal Failure, 43:1, 90-96, Dec. 2020.
  42. Cheng-Hong Yang, S.-F. Liu, C.-Y. Lin and C.-F., Liu, Immersive Virtual Reality–Based Cardiopulmonary Resuscitation Interactive Learning Support System, IEEE Access, 8(1): 120870-120880, Dec. 2020.
  43. J.-B. Chen, K.-C. Wu, S.-H. Moi, L.-Y. Chuang, and Cheng-Hong Yang, Deep learning for intradialytic hypotension prediction in hemodialysis patients, IEEE Access, 8(1): 82382-82390, Dec. 2020.
  44. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, Fuzzy logic system application for detecting SNP-SNP interaction, IEEE Access, 8(1): 49951-49960, Dec. 2020.
  45. L. Zhang, W.-C. Lee, C.-H. Wu, L.-C. Kuo, H.-T. Yang, S.-H. Moi, Cheng-Hong Yang, J.-B. Chen, Importance of non-medical reasons for dropout in patients on peritoneal dialysis, Clinical and Experimental Nephrology, 24(11):1050-1057. Nov. 2020.
  46. Cheng-Hong Yang and P.-Y. Chang, Forecasting the demand for container throughput using a mixed-precision neural architecture, Mathematics, 8: 1784, Oct. 2020.
  47. J.-B. Chen, C.-C. Chang, L.-C. Li, W.-C. Lee, C.-N. Lin, S.-C. Li, S.-H. Moi, Cheng-Hong Yang, Mutual interaction of clinical factors and specific microRNAs to predict mild cognitive impairment in patients receiving hemodialysis, Cells, 9: 2303, Oct. 2020.
  48. S. Yang, H.-C. Chen, W.-C. Chen, and Cheng-Hong Yang, Student Enrollment and Teacher Statistics Forecasting based on Time Series Analysis, Computational Intelligence and Neuroscience, Article ID 1246920, DOI: 10.1155/2020/1246920, Sept. 2020.
  49. S. Yang, H.-C. Chen, W.-C. Chen, and Cheng-Hong Yang, Forecasting outbound student mobility: A machine learning approach, PLoS ONE, DOI: 10.1371/journal.pone.0238129, Sept. 2020.
  50. Cheng-Hong Yang, D. Novaliendry, J.-B. Chen, et al., Prediction of Mortalityinthe Hemodialysis Patient with Diabetes using Support Vector Machine, Revista Argentina de Clinica Psicologica 29:219-232, Sept. 2020.
  51. Cheng-Hong Yang, C.-H. Wu, and C.-M. Hsieh, Long Short-Term Memory Recurrent Neural Network for Tidal Level Forecasting, IEEE Access, 8(1):159389-159401, Sept. 2020.
  52. Cheng-Hong Yang, S.-H. Moi, L.-Y. Chuang, J.-B. Chen, Higher-order clinical risk factor interaction analysis for overall mortality in maintenance hemodialysis patients, Therapeutic Advances in Chronic Disease. 11: 1-12, Sept. 2020.
  53. L.-Y. Chuang, H.-S. Yang, C.-S. Yang, and Cheng-Hong Yang, Identification of High-Order Single-Nucleotide Polymorphism Barcodes in Breast Cancer using a Hybrid Taguchi-Genetic Algorithm: Case-Control Study, JMIR Medical Informatics, 8(6): e16886, doi: 10.2196/16886, June 2020.
  54. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, Epistasis Analysis using an Improved Fuzzy C-means-based Entropy Approach, IEEE Transactions on Fuzzy Systems, 28(4): 718-730, Apr. 2020.
  55. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, Class-balanced multifactor dimensionality reduction to detect gene-gene interaction, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1): 71-81, Jan. 2020.
  56. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, An improved fuzzy set-based multifactor dimensionality reduction for detecting epistasis, Artificial Intelligence in Medicine, 102: 101768, DOI: 10.1016/j.artmed.2019.101768, Jan. 2020.
  57. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, Detecting SNP-SNP interactions in imbalanced case-control study, IEEE Access, Vol. 7: 143036 – 143045, DOI: 10.1109/ACCESS.2019.2943614, Sept. 2019.
  58. Cheng-Hong Yang, S.-F. Liu, C.-Y. Lin, and C.-Y. Chang, An interactive digital somatosensory game system that implements a decision tree algorithm, IEEE Access, PP (99):1-1, DOI: 10.1109/ACCESS.2019.2943177, Sept. 2019
  59. P.-H. Chen, L.-Y. Chuang, K.-C. Wu, Y.-H. Wang, T.-Y. Shieh, J.-C. Jim Sheu, H.-W. Chang, and Cheng-Hong Yang, Application of simulation-based CYP26 SNP environment barcodes for evaluating the occurrence of oral malignant disorders by odds ratio-based binary particle swarm optimization: A case-control study in the Taiwanese population, PLoS ONE, 14(8): e0220719. Aug. 2019.
  60. Cheng-Hong Yang, L.-Y. Chuang, Y.-D. Lin, Y.-S. Lin, Effective Hybrid Approach for Protein Structure Prediction in a Two-Dimensional Hydrophobic-Polar Model, Computers in Biology and Medicine, 13:103397, DOI: 10.1016/j.compbiomed.2019.103397, Aug. 2019.
  61. N. Hao, B.-C. Cheng, H.-T. Yang, C.-H. Wu, Y.-Y. Lei, M.-C. Chao, P.-Y. Wang, L.-C. Kuo, S.-H. Moi, Cheng-Hong Yang, J.-B. Chen, Time-varying serum albumin levels and all-cause mortality in prevalent peritoneal dialysis patients Time-varying serum albumin levels and all-cause mortality in prevalent peritoneal dialysis patients: A 5-year observational study, BMC Nephrology, 10;20(1):254, DOI: 10.1186/s12882-019-1433-8, July 2019.
  62. J.-B. Chen, W.-C. Lee, L.-C. Li, S.-H. Moi, and Cheng-Hong Yang, EFFECT OF CLINICAL FACTORS ON TRAJECTORY OF FUNCTIONAL PERFORMANCE AMONG PATIENTS UNDERGOING HEMODIALYSIS, Nephrology Dialysis Transplantation, 34(S1), DOI: https://doi.org/10.1093/ndt/gfz103.SP081, June 2019.
  63. Cheng-Hong Yang, S.-H. Moi, F. Ou-Yang, L.-Y. Chuang, M.-F. Hou, and Y.-D. Lin, Identifying Risk Stratification Associated with a Cancer for Overall Survival using Deep Learning-Based CoxPH, IEEE Access, DOI: 10.1109/ACCESS.2019.2916586, May 2019.
  64. Cheng-Hong Yang, P.-W. Su, S.-H. Moi, L.-Y. Chuang, Biofilm formation in Acinetobacter baumannii: genotype-phenotype correlation, Molecules, 24(10): 1849, doi:10.3390/molecules24101849, May 2019.
  65. N. Hao, Cheng-Hong Yang, H.-T. Yang, C.-H. Wu, Y.-Y. Lei, Y.-P. Wu, W.-T. Lin, T. T.-Y. Chiou, J.-B. Chen, Comparison of Solute Clearance, Hospitalization Rate, and Aortic Arch Calcification between Online Hemodiafiltration and High-Flux Hemodialysis: A 6-Year Observational Study, Kidney & Blood Pressure Research, 44(2):264-276, Apr. 2019.
  66. Cheng-Hong Yang, K.-C. Wu, L.-Y. Chuang, H.-W. Chang, Decision theory-based COI SNP tagging approach for 126 Scombriformes species tagging, Frontiers in Genetics, Vol. 10, Article ID 259, DOI: 10.3389/fgene.2019.00259, Apr. 2019.
  67. Cheng-Hong Yang, G.-Y. Chen, S.-H. Moi, F. Ou-Yang, M.-F. Hou, L.-Y. Chuang, Relationship between clinicopathologic variables in breast cancer overall survival using biogeography-based optimization algorithm, BioMed Research International, Volume 2019, Article ID 2304128, https://doi.org/10.1155/2019/2304128, Apr. 2019.
  68. C.-H. Chiu, C.-Y. Wang, S.-H. Moi, C.-H. Wu, Cheng-Hong Yang, J.-B. Chen. Comparison of tunneled central venous catheters and native arteriovenous fistulae by evaluating the mortality and morbidity of patients with prevalent hemodialysis, Journal of the Formosan Medical Association, 118(4): 807-814, Apr. 2019.
  69. Cheng-Hong Yang, L.-Y. Chuang, and L.-D. Lin, Multiple-Criteria Decision Analysis–Based Multifactor Dimensionality Reduction for Detecting Gene–Gene Interactions, IEEE Journal of Biomedical and Health Informatics, 23(1): 416-426, Jan. 2019.
  70. Cheng-Hong Yang, H.-S. Yang, L.-Y. Chuang, PBMDR: A Particle Swarm Optimization-Based Multifactor Dimensionality Reduction for the Detection of SNP-SNP Interactions, Journal of Theoretical Biology, 461:68-75, Oct. 2018.
  71. H.-H. Liu, L.-C. Chang, C.-W. Li and Cheng-Hong Yang, Particle swarm optimization-based support vector regression for tourist arrivals forecasting, Computational Intelligence and Neuroscience, Article ID, 6076475, https://doi.org/10.1155/2018/6076475, Sept. 2018.
  72. Cheng-Hong Yang, K.-C. Wu, Y.-S. Lin, L.-Y. Chuang, H.-W. Chang, Protein folding prediction in the HP model using ions motion optimization with a greedy algorithm, BioData Mining, 11:17, https://doi.org/10.1186/s13040-018-0176-6, Aug. 2018.
  73. Cheng-Hong Yang, Y.-K. Kao, L.-Y. Chuang, and L.-D. Lin, Catfish Taguchi-Based Binary Differential Evolution Algorithm for Analyzing Single Nucleotide Polymorphism Interactions in Chronic Dialysis, IEEE Transactions on NanoBioscience, 17(3):291-299, July 2018.
  74. Cheng-Hong Yang, L.-Y. Chuang, and Y.-D. Lin, Multiobjective multifactor dimensionality reduction to detect SNP–SNP interactions, Bioinformatics, 34(13): 2228–2236, July 2018.
  75. J.-B. Chen, B.-C. Cheng, W.-H. Liu, S.-C. Liao, M.-Y. M. Fu, S.-H. Moi, and Cheng-Hong Yang, Longitudinal analysis of cardiac structure and function in incident-automated peritoneal dialysis: comparison between icodextrin solution and glucose-based solution, BMC Nephrology, 19:109, https://doi.org/10.1186/s12882-018-0912-7, May 2018.
  76. Y.-C. Lai, C.-Y. Wang, S.-H. Moi, C.-H. Wu and Cheng-Hong Yang, and J.-B. Chen, Factors Associated with Functional Performance among Patients on Hemodialysis in Taiwan, Blood Purification, 46(1):12–18, May 2018.
  77. Cheng-Hong Yang, K.-C. Wu, L.-Y. Chuang, H.-W. Chang, Decision Tree Algorithm–Generated Single-Nucleotide Polymorphism Barcodes of rbcL Genes for 38 Brassicaceae Species Tagging, Evolutionary Bioinformatics, 14: 1-9, Mar. 2018.
  78. S.-H. Moi, Y.-C. Lee, L.-Y. Chuang, S.-S. F. Yuan, F. Ou-Yang, M.-F. Hou, Cheng-Hong Yang, and H.-W. Chang, Cumulative receiver operating characteristics for analyzing interaction between tissue visfatin and clinicopathologic factors in breast cancer progression, Cancer Cell International, 18:19, https://doi.org/10.1186/s12935-018-0517-z, Feb. 2018.
  79. Cheng-Hong Yang, Y.-C. Chiang, L.-Y. Chuang, Y.-D. Lin, A CpGCluster-teaching–learning–based optimization for prediction of CpG islands in the human genome, Journal of Computational Biology, 25(2):158-169, Feb. 2018.
  80. Cheng-Hong Yang, J.-B. Chen, W.-C. Lee, B.-C. Cheng, S.-H. Moi, and Y.-D. Lin, Impact of risk factors on functional status in maintenance hemodialysis patients, European Journal of Medical Research, 22:54, Dec. 2017.
  81. Cheng-Hong Yang, Y.-D. Lin, L.-Y. Chuang, J.-B. Chen, and H.-W. Chang, Joint Analysis of SNP-SNP-Environment Interactions for Chronic Dialysis by an Improved Branch and Bound Algorithm, Journal of Computational Biology, 24(12):1212-1225, Dec. 2017.
  82. C.-J. Chen, H.-W. Chang, Cheng-Hong Yang, H.-Y. Chuang, H.-S. Yu, Use of genetic algorithm combinational single-nucleotide polymorphisms could modify the association of blood lead levels and bone matrix density. Epidemiology 28 Suppl 1: S121-S5. Oct. 2017.
  83. Cheng-Hong Yang, L.-Y. Chuang, L.-D. Lin, Multiobjective differential evolution-based multifactor dimensionality reduction for detecting gene–gene interactions, Scientific Reports, 7: 12869, Oct. 2017.
  84. Cheng-Hong Yang, Y.-H. Lin, L.-Y. Chuang, H.-W. Chang, A particle swarm optimization-based approach with local search for predicting protein folding, Journal of Computational Biology, 24(10): 981-994, Oct. 2017.
  85. E. Lim, C.-H. Wu, S.-H. Moi, M.-T. Lui, Cheng-Hong Yang, C.-C. Yang, The expression of transglutaminase 2 (TG-2) in oral squamous cell carcinoma and its clinical significance. Journal of the Chinese Medical Association, 80(8): 515-520, Aug. 2017.
  86. Cheng-Hong Yang, L.-Y. Chuang, and Y.-D. Lin, CMDR: classification based multifactor dimensionality reduction for epistatic interaction detection in case-control studies, Bioinformatics, 33(15): 2354-236, Aug. 2017.
  87. Cheng-Hong Yang, K.-C. Wu, H.U. Dahms, L.-Y. Chuang, H.-W. Chang, Single nucleotide polymorphism barcoding of cytochrome c oxidase I sequences for discriminating 17 species of Columbidae by decision tree algorithm, Ecology and Evolution, 7(13): 4717-4725, May 2017.
  88. Cheng-Hong Yang, Z.-J. Weng, L.-Y. Chuang, C.-S. Yang, Identification of SNP-SNP interaction analysis for chronic dialysis patients, Computers in Biology and Medicine, 83: 94–101, Apr. 2017.
  89. Cheng-Hong Yang, S.-H. Moi, L.-Y. Chuang, S.-S. F. Yuan, M.-F. Hou, Y.-C. Lee, and H.-W. Chang, Interaction of MRE11 and clinicophathological characteristics in recurrence of breast cancer: Individual and cumulated receiver operating characteristic analyses, BioMed Research International, 2017, Article ID 2563910, Jan. 2017.
  90. J.-B. Chen, F.-F. Chou, Cheng-Hong Yang, and S.-H. Moi, Association between clinical variables and mortality after parathyroidectomy in maintenance hemodialysis patients. American Journal of Surgery, 213(1): 140-145, Jan. 2017.
  91. S.-C. Liao, S.-H. Moi, F.- F. Chou, Cheng-Hong Yang and J.-B. Chen (2016), Changes in serum concentrations of fibroblast growth factor 23 and soluble Klotho in hemodialysis patients after total parathyroidectomy, BioMed Research International, 2016, Article ID 6453803, Nov. 2016.
  92. L.-Y. Chuang, S.-H. Moi, L.-D. Lin, and Cheng-Hong Yang, A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes, Artificial Intelligence in Medicine, 73: 23–33, Oct. 2016.
  93. Cheng-Hong Yang, L.-D. Lin, L.-Y. Chuang, and H.-W. Chang, Analysis of high-order SNP barcodes in mitochondrial D-loop for chronic dialysis susceptibility, Journal of Biomedical Informatics, 63: 112–119, Oct. 2016.
  94. F. Ou-Yang, H.-W. Chang, Y.-D. Lin, L.-Y. Chuang, M.-F. Hou, Cheng-Hong Yang, Breast cancer-associated high-order SNP-SNP interaction of CXCL12/CXCR4-related genes by an improved multifactor dimensionality reduction (MDR-ER), Oncology Reports, 36(3):1739-1747, Sept. 2016.
  95. Y.-H. Yen, Huang C.-M., Wei K.-L., Wang J.-H., Lu S.-N., Lee C.-M., Hung C.-H., Chen C.-H., Tseng P.-L., Chang K.-C., Tsai M.-C., Lin M.-T., Wu C.-K., Yang Cheng-Hong, Moi S.-H., Cho C.-L., Hu T.-H., MicroRNA-122 as a predictor of HBsAg seroclearance in hepatitis B and C dual infected patients treated with interferon and ribavirin, Scientific Reports, 6: 33816. Sept. 2016.
  96. Cheng-Hong Yang, L.-D. Lin, and L.-Y. Chuang, tRNAfeature: An algorithm for tRNA features to identify tRNA genes in DNA sequences, Journal of Theoretical Biology, 404: 251-261, Sept. 2016.
  97. J.-F. Yang, Cheng-Hong Yang, M.-T. Liang, Z.-J. Gao, Y.-W. Wu, and L.-Y. Chuang, Chemical Composition, Antioxidant, and Antibacterial Activity of Wood Vinegar from Litchi chinensis, Molecules, 21(9): E1150, Aug. 2016.
  98. J.-B. Chen, B.-C. Cheng, Cheng-Hong Yang, and S.-H. Moi, An association between time-varying serum albumin level and the mortality rate in maintenance haemodialysis patients: a five-year clinical cohort study, BMC nephrology, 17(1): 117, Aug. 2016.
  99. Cheng-Hong Yang, Y.-D. Lin, Y.-C. Chiang, and L.-Y. Chuang, A Hybrid Approach for CpG Island Detection in the Human Genome, PLoS ONE, 11(1): e0144748, Jan. 2016.

 

瀏覽數:
友善列印