Cheng-Hong Yang

403 total citations
33 papers, 283 citations indexed

About

Cheng-Hong Yang is a scholar working on Artificial Intelligence, Nephrology and Molecular Biology. According to data from OpenAlex, Cheng-Hong Yang has authored 33 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Nephrology and 6 papers in Molecular Biology. Recurrent topics in Cheng-Hong Yang's work include Dialysis and Renal Disease Management (6 papers), Face and Expression Recognition (4 papers) and Gene expression and cancer classification (4 papers). Cheng-Hong Yang is often cited by papers focused on Dialysis and Renal Disease Management (6 papers), Face and Expression Recognition (4 papers) and Gene expression and cancer classification (4 papers). Cheng-Hong Yang collaborates with scholars based in Taiwan, China and United States. Cheng-Hong Yang's co-authors include Li‐Yeh Chuang, Cheng‐Huei Yang, Sin‐Hua Moi, Jin‐Bor Chen, Ben‐Chung Cheng, Fong‐Fu Chou, Kendall E. Nygard, Shang‐Chih Liao, Sheng-Wei Tsai and Hung‐Yi Chuang and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Sustainability.

In The Last Decade

Cheng-Hong Yang

30 papers receiving 256 citations

Peers

Cheng-Hong Yang
Yuval Nardi Israel
Colin White United States
Giulia Cogni Italy
Jianfeng Lin China
Jiefei Ma China
Hongyan Zhou China
Adam E. Gawęda United States
R. Livi Italy
Yuval Nardi Israel
Cheng-Hong Yang
Citations per year, relative to Cheng-Hong Yang Cheng-Hong Yang (= 1×) peers Yuval Nardi

Countries citing papers authored by Cheng-Hong Yang

Since Specialization
Citations

This map shows the geographic impact of Cheng-Hong Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cheng-Hong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng-Hong Yang more than expected).

Fields of papers citing papers by Cheng-Hong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hong Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cheng-Hong Yang. The network helps show where Cheng-Hong Yang may publish in the future.

Co-authorship network of co-authors of Cheng-Hong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hong Yang. A scholar is included among the top collaborators of Cheng-Hong Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng-Hong Yang. Cheng-Hong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Yang, Cheng-Hong, et al.. (2024). Use of machine learning algorithms to determine the relationship between air pollution and cognitive impairment in Taiwan. Ecotoxicology and Environmental Safety. 284. 116885–116885. 5 indexed citations
3.
4.
5.
6.
Yang, Cheng-Hong, et al.. (2023). Application of deep learning to predict the low serum albumin in new hemodialysis patients. Nutrition & Metabolism. 20(1). 24–24. 1 indexed citations
7.
Novaliendry, Dony, et al.. (2023). Hemodialysis Patient Death Prediction Using Logistic Regression. International Journal of Online and Biomedical Engineering (iJOE). 19(9). 66–80. 2 indexed citations
8.
Wu, Chih-Hsien, et al.. (2023). 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. 115528–115528. 6 indexed citations
9.
Lee, Wen‐Chin, Jin‐Bor Chen, Sin‐Hua Moi, & Cheng-Hong Yang. (2021). Association of proportion of the HDL-cholesterol subclasses HDL-2b and HDL-3 and macrovascular events among patients undergoing hemodialysis. Scientific Reports. 11(1). 1871–1871. 8 indexed citations
10.
Su, Yong‐Chao, et al.. (2021). Machine Learning Data Imputation and Prediction of Foraging Group Size in a Kleptoparasitic Spider. Mathematics. 9(4). 415–415. 6 indexed citations
11.
Chen, Jin‐Bor, Chiung‐Chih Chang, Lung‐Chih Li, et al.. (2020). Mutual Interaction of Clinical Factors and Specific microRNAs to Predict Mild Cognitive Impairment in Patients Receiving Hemodialysis. Cells. 9(10). 2303–2303. 6 indexed citations
12.
Yang, Cheng-Hong, Dony Novaliendry, Jin‐Bor Chen, et al.. (2020). Prediction of Mortalityinthe Hemodialysis Patient with Diabetes using Support Vector Machine. 29(4). 219. 13 indexed citations
13.
Zhang, Lin, Wen‐Chin Lee, Chien‐Hsing Wu, et al.. (2020). Importance of non-medical reasons for dropout in patients on peritoneal dialysis. Clinical and Experimental Nephrology. 24(11). 1050–1057. 3 indexed citations
14.
Hao, Na, Ben‐Chung Cheng, Hongtao Yang, et al.. (2019). Time-varying serum albumin levels and all-cause mortality in prevalent peritoneal dialysis patients: a 5-year observational study. BMC Nephrology. 20(1). 254–254. 20 indexed citations
15.
Lai, Yu‐Cheng, et al.. (2018). Factors Associated with Functional Performance among Patients on Hemodialysis in Taiwan. Blood Purification. 46(1). 12–18. 5 indexed citations
16.
Moi, Sin‐Hua, Yi‐Chen Lee, Li‐Yeh Chuang, et al.. (2018). Cumulative receiver operating characteristics for analyzing interaction between tissue visfatin and clinicopathologic factors in breast cancer progression. Cancer Cell International. 18(1). 19–19. 13 indexed citations
17.
Chen, Jin‐Bor, Ben‐Chung Cheng, Cheng-Hong Yang, & Sin‐Hua Moi. (2016). 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). 117–117. 24 indexed citations
18.
Yang, Cheng-Hong, et al.. (2016). An Application of Expert System for Diagnosing Fever Caused by Viral Infection. 7 indexed citations
19.
Chuang, Li‐Yeh, et al.. (2011). A Hybrid BPSO-CGA Approach for Gene Selection and Classification of Microarray Data. Journal of Computational Biology. 19(1). 68–82. 56 indexed citations
20.
Yang, Cheng-Hong, et al.. (1996). Comparison of Four Distance Measures for Long Time Text-Independent Speaker Identification. 1. 369–372. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yuval Nardi Breakdown of academic impact, for papers by Colin White Breakdown of academic impact, for papers by Giulia Cogni Breakdown of academic impact, for papers by Jianfeng Lin Breakdown of academic impact, for papers by Jiefei Ma Breakdown of academic impact, for papers by Hongyan Zhou Breakdown of academic impact, for papers by Adam E. Gawęda Breakdown of academic impact, for papers by R. Livi
Rankless by CCL
2026