Weichung Wang

3.0k citations
102 papers · 1.5k · h-index 22

Impact in

Papers in

Weichung Wang

93 papers receiving 1.4k citations

Peers

Weichung Wang
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 441
  • Health Informatics 26
  • Speech and Hearing 120
  • Numerical Analysis 90
  • Management Science and Operations Research 173
Replace Richard Tzong‐Han Tsai with:
Richard Tzong‐Han Tsai Taiwan
Ayesha Sohail Pakistan
James Lu United States
Michael B. Cohen United States
Yeliz Karaca United States
Thomas Demeester Belgium
Xian Li China
Carlo Cosentino Italy
Li Xiao China
Weichung Wang relative to Richard Tzong‐Han Tsai Taiwan Richard Tzong‐Han Tsai's profile →
Citations per field
00.5×
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 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004179
2 2020139
3 202282
4 200370
5 201261
6 201457
7 200252
8 202136
9 201535
10 201134
11 201034
12 200433
13 201432
14 200330
15 201029
16 201129
17 202028
18 200024
19 200823
20 201523

About Weichung Wang

Weichung Wang is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Electrical and Electronic Engineering, having authored 102 papers that have together received 1.5k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers), Electromagnetic Simulation and Numerical Methods (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Electromagnetic Scattering and Analysis (8 papers), Quantum and electron transport phenomena (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Photonic Crystals and Applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (441 citations), Health Informatics (26 citations), Speech and Hearing (120 citations), Numerical Analysis (90 citations) and Management Science and Operations Research (173 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, Wen‐Wei Lin, Weng Kee Wong, Wei‐Chih Liao, Po‐Ting Chen, Ming‐Shiang Wu, Kao‐Lang Liu, Tinghui Wu and Holger R. Roth. Their work appears in journals such as Journal of Computational Physics, Journal of Computational and Applied Mathematics, Computer Physics Communications, Gastroenterology and Computers & Mathematics with Applications.

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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