Wei‐Cheng Chan

496 total citations
27 papers, 347 citations indexed

About

Wei‐Cheng Chan is a scholar working on Molecular Biology, Hematology and Epidemiology. According to data from OpenAlex, Wei‐Cheng Chan has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Epidemiology. Recurrent topics in Wei‐Cheng Chan's work include Hemophilia Treatment and Research (6 papers), Neural Networks and Applications (5 papers) and Air Quality Monitoring and Forecasting (4 papers). Wei‐Cheng Chan is often cited by papers focused on Hemophilia Treatment and Research (6 papers), Neural Networks and Applications (5 papers) and Air Quality Monitoring and Forecasting (4 papers). Wei‐Cheng Chan collaborates with scholars based in Taiwan, China and Hong Kong. Wei‐Cheng Chan's co-authors include Yu‐Tse Tsan, C.W. Chan, C.J. Harris, Jiaan‐Der Wang, Yu‐Tse Tsan, Pau‐Chung Chen, Wayne Huey‐Herng Sheu, Chao‐Tung Yang, Wei‐Min Chu and Shin‐Tsu Chang and has published in prestigious journals such as PLoS ONE, Diabetes Care and International Journal of Environmental Research and Public Health.

In The Last Decade

Wei‐Cheng Chan

27 papers receiving 339 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei‐Cheng Chan Taiwan 10 69 61 51 43 37 27 347
Laura Azzimonti Switzerland 12 30 0.4× 22 0.4× 45 0.9× 33 0.8× 10 0.3× 20 447
P. Sardà France 8 79 1.1× 27 0.4× 66 1.3× 28 0.7× 31 0.8× 17 428
Weilin Mao China 12 22 0.3× 34 0.6× 16 0.3× 44 1.0× 71 1.9× 23 346
María Isabel Giménez Venezuela 12 54 0.8× 51 0.8× 30 0.6× 81 1.9× 169 4.6× 47 751
Kenji Hoshi Japan 11 17 0.2× 117 1.9× 24 0.5× 67 1.6× 6 0.2× 40 356
Perla Subbaiah United States 11 58 0.8× 71 1.2× 5 0.1× 52 1.2× 22 0.6× 35 630
Vikas Kapoor United States 11 25 0.4× 36 0.6× 16 0.3× 119 2.8× 16 0.4× 55 417
Miguel Tejedor Spain 17 18 0.3× 40 0.7× 64 1.3× 200 4.7× 6 0.2× 57 1.2k
Dong-In Han South Korea 14 15 0.2× 126 2.1× 11 0.2× 120 2.8× 24 0.6× 33 758
Yexin Liu China 10 24 0.3× 33 0.5× 21 0.4× 12 0.3× 4 0.1× 22 398

Countries citing papers authored by Wei‐Cheng Chan

Since Specialization
Citations

This map shows the geographic impact of Wei‐Cheng Chan'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 Wei‐Cheng Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Cheng Chan more than expected).

Fields of papers citing papers by Wei‐Cheng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐Cheng Chan. 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 Wei‐Cheng Chan. The network helps show where Wei‐Cheng Chan may publish in the future.

Co-authorship network of co-authors of Wei‐Cheng Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Cheng Chan. A scholar is included among the top collaborators of Wei‐Cheng Chan 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 Wei‐Cheng Chan. Wei‐Cheng Chan 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.
Yue, Yuan, Wei‐Cheng Chan, Jing Zhang, et al.. (2023). Activation of receptor‐interacting protein 3‐mediated necroptosis accelerates periodontitis in mice. Oral Diseases. 30(4). 2485–2496. 2 indexed citations
2.
Chan, Wei‐Cheng, Jing Zhang, Jiajia Wang, et al.. (2023). Regulation of RIP1‐Mediated necroptosis via necrostatin‐1 in periodontitis. Journal of Periodontal Research. 58(5). 919–931. 8 indexed citations
3.
Li, Jiaxin, Wei‐Cheng Chan, Wei Wei, et al.. (2023). RGS10 negatively regulates apical periodontitis via TFEB‐mediated autophagy in BABL/c mice model and in vitro. International Endodontic Journal. 56(7). 854–868. 5 indexed citations
4.
Chan, Wei‐Cheng, Jie Liu, Jiajia Wang, et al.. (2022). Inhibition of Rgs10 aggravates periodontitis with collagen‐induced arthritis via the nuclear factor‐κB pathway. Oral Diseases. 29(4). 1802–1811. 2 indexed citations
5.
Chu, Wei‐Min, Endah Kristiani, Yu-Chieh Wang, et al.. (2022). A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment. Frontiers in Medicine. 9. 937216–937216. 19 indexed citations
6.
Wang, Zizheng, Wei‐Cheng Chan, & Yuan Yue. (2022). A significant other: Non‐canonical caspase‐4/5/11 inflammasome in periodontitis. Oral Diseases. 29(5). 1927–1936. 7 indexed citations
7.
Wang, Jiaan‐Der, et al.. (2022). Risk of Fractures, Repeated Fractures and Osteoporotic Fractures among Patients with Hemophilia in Taiwan: A 14-Year Population-Based Cohort Study. International Journal of Environmental Research and Public Health. 20(1). 525–525. 4 indexed citations
8.
Chu, Wei‐Min, et al.. (2022). Risk Factors Surrounding an Increase in Burnout and Depression Among Health Care Professionals in Taiwan During the COVID-19 Pandemic. Journal of the American Medical Directors Association. 24(2). 164–170.e3. 20 indexed citations
9.
Wei, Wei, Jie Liu, Jiajia Wang, et al.. (2021). Periodontitis aggravates kidney injury by upregulating STAT1 expression in a mouse model of hypertension. FEBS Open Bio. 11(3). 880–889. 7 indexed citations
10.
Kristiani, Endah, et al.. (2020). Using deep ensemble for influenza-like illness consultation rate prediction. Future Generation Computer Systems. 117. 369–386. 9 indexed citations
11.
Yang, Chao‐Tung, et al.. (2019). The Implementation of a Real-time Monitoring and Prediction System of PM2.5 and Influenza-Like Illness Using Deep Learning. 網際網路技術學刊. 20(7). 2237–2245. 1 indexed citations
12.
Wang, Jiaan‐Der, et al.. (2019). Differences in Major Bleeding Events Between Patients With Severe Hemophilia A and Hemophilia B: A Nationwide, Population-Based Cohort Study. Clinical and Applied Thrombosis/Hemostasis. 25. 2873286551–2873286551. 8 indexed citations
13.
Chen, Szu‐Ying, Chieh‐Chung Lin, Yu‐Tse Tsan, et al.. (2018). Number of cholangitis episodes as a prognostic marker to predict timing of liver transplantation in biliary atresia patients after Kasai portoenterostomy. BMC Pediatrics. 18(1). 119–119. 26 indexed citations
14.
Chu, Wei‐Min, Jiaan‐Der Wang, Wei‐Cheng Chan, et al.. (2018). Risk of major comorbidities among workers with hemophilia. Medicine. 97(6). e9803–e9803. 9 indexed citations
15.
Wang, Jiaan‐Der, Wei‐Cheng Chan, Yun‐Ching Fu, et al.. (2015). Prevalence and risk factors of atherothrombotic events among 1054 hemophilia patients: A population-based analysis. Thrombosis Research. 135(3). 502–507. 31 indexed citations
16.
17.
Chao, Day‐Yu, Kuang‐Fu Cheng, Tsai‐Chung Li, et al.. (2011). Correction: Serological Evidence of Subclinical Transmission of the 2009 Pandemic H1N1 Influenza Virus Outside of Mexico. PLoS ONE. 6(5). 2 indexed citations
18.
Chan, C.W., Wei‐Cheng Chan, A. W. Jayawardena, & C.J. Harris. (2002). Structure selection of neurofuzzy networks based on support vector regression. International Journal of Systems Science. 33(9). 715–722. 4 indexed citations
19.
Chan, Wei‐Cheng, et al.. (2002). Support vector recurrent neurofuzzy networks in modeling nonlinear systems with correlated noise. The HKU Scholars Hub (University of Hong Kong). 1. 545–550. 2 indexed citations
20.
Chan, Wei‐Cheng, et al.. (2000). Modelling of Nonlinear Dynamic Systems using Support Vector Neural Networks. IFAC Proceedings Volumes. 33(28). 213–218. 3 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.

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