Weichung Wang

104 papers receiving 2.2k citations

Weichung Wang's Hit Papers

Federated learning for predicting clinical outcomes in patients with COVID-19 2021 · 543 citations
5430+1+3Years since publication100200300400500

Peers

Weichung Wang
Comparison fields: 5 of 149
  • Health Informatics 138
  • Computational Theory and Mathematics 455
  • Speech and Hearing 141
  • Artificial Intelligence 729
  • Radiology, Nuclear Medicine and Imaging 432
Replace Richard Tzong‐Han Tsai with:
Richard Tzong‐Han Tsai Taiwan
Levente Kovács Hungary
Giovanni Rinaldi Italy
Vincent Y. F. Tan Singapore
Eric W. Brown United States
Lin Zhao China
Hong‐Gee Kim South Korea
Feifan Liu United States
Roy Schwartz United States
Mehmet Ünal Türkiye
Weichung Wang relative to Richard Tzong‐Han Tsai Taiwan Richard Tzong‐Han Tsai's profile →
Citations per field
00.5×2×4×6.6×
Richard Tzong‐Han Tsai · 1×
Citations per year

Countries citing papers authored by Weichung Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weichung Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weichung Wang. 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 Weichung Wang. The network helps show where Weichung Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Weichung Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weichung Wang Line = papers co-authored together Weichung Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Federated learning for predicting clinical outcomes in patients with COVID-19
Hit paper breakdown →
2021543
2 2004205
3 2020169
4 2022111
5 200374
6 201267
7 201461
8 200261
9 202145
10 201139
11 201537
12 201036
13 200435
14 201534
15 202034
16 201433
17 201132
18 200329
19 201029
20 200828

About Weichung Wang

Weichung Wang is a scholar working on Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Numerical Analysis and Artificial Intelligence, having authored 112 papers that have together received 2.3k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (20 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Electromagnetic Simulation and Numerical Methods (11 papers), Electromagnetic Scattering and Analysis (10 papers), Pancreatic and Hepatic Oncology Research (9 papers), COVID-19 diagnosis using AI (8 papers), Quantum and electron transport phenomena (8 papers) and Photonic Crystals and Applications (7 papers). The work is most often cited by research in Health Informatics (138 citations), Computational Theory and Mathematics (455 citations), Speech and Hearing (141 citations), Artificial Intelligence (729 citations) and Radiology, Nuclear Medicine and Imaging (432 citations). Weichung Wang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Wen-Li Tsou, Ray‐Bing Chen, Po‐Ting Chen, Wei‐Chih Liao, Kao‐Lang Liu, Holger R. Roth, Weng Kee Wong, Ming‐Shiang Wu, Wen‐Wei Lin and Tinghui Wu. Their work appears in journals such as Journal of Computational Physics, Computer Physics Communications, Journal of Computational and Applied Mathematics, Computers & Mathematics with Applications and PLoS ONE.

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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