Weichung Wang

3.0k total citations
102 papers, 1.5k citations indexed

About

Weichung Wang is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Weichung Wang has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 26 papers in Atomic and Molecular Physics, and Optics and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Weichung Wang's work include Matrix Theory and Algorithms (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Electromagnetic Simulation and Numerical Methods (11 papers). Weichung Wang is often cited by papers focused on Matrix Theory and Algorithms (19 papers), Advanced Multi-Objective Optimization Algorithms (14 papers) and Electromagnetic Simulation and Numerical Methods (11 papers). Weichung Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Weichung Wang's co-authors include Wen-Li Tsou, Ray‐Bing Chen, Wen‐Wei Lin, Weng Kee Wong, Po‐Ting Chen, Wei‐Chih Liao, Ming‐Shiang Wu, Kao‐Lang Liu, Tinghui Wu and Holger R. Roth and has published in prestigious journals such as Gastroenterology, PLoS ONE and Technometrics.

In The Last Decade

Weichung Wang

93 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weichung Wang Taiwan 22 441 342 287 270 180 102 1.5k
Michael B. Cohen United States 25 188 0.4× 336 1.0× 31 0.1× 104 0.4× 95 0.5× 70 1.9k
Richard Tzong‐Han Tsai Taiwan 28 212 0.5× 1.1k 3.3× 50 0.2× 83 0.3× 37 0.2× 195 2.4k
Sungdong Kim South Korea 12 215 0.5× 2.8k 8.2× 229 0.8× 47 0.2× 28 0.2× 42 4.0k
Thomas Demeester Belgium 21 26 0.1× 793 2.3× 16 0.1× 38 0.1× 84 0.5× 112 2.1k
Ayesha Sohail Pakistan 21 62 0.1× 209 0.6× 167 0.6× 14 0.1× 92 0.5× 142 1.8k
Zheng Zhang United States 22 185 0.4× 173 0.5× 35 0.1× 115 0.4× 13 0.1× 168 1.8k
Masafumi Yamashita Japan 26 259 0.6× 265 0.8× 48 0.2× 74 0.3× 66 0.4× 214 2.8k
Qin Liu China 22 65 0.1× 801 2.3× 141 0.5× 296 1.1× 58 0.3× 225 2.5k

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-authorship network of co-authors of Weichung Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weichung Wang. A scholar is included among the top collaborators of Weichung Wang 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 Weichung Wang. Weichung Wang 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.
Su, Tung‐Hung, Sheng‐Shun Yang, Mei–Hsuan Lee, et al.. (2025). High Steatosis-Associated Fibrosis Estimator scores predict hepatocellular carcinoma in viral and non-viral hepatitis and metabolic dysfunction-associated steatotic liver disease. Clinical and Molecular Hepatology. 31(3). 796–809. 1 indexed citations
2.
3.
4.
Chang, Shun‐Cheng, et al.. (2024). A BCLC Staging System for Hepatocellular Carcinoma using Swin Transformer and CT Imaging. PubMed. 2024. 1–4.
5.
Wang, Chih‐Hung, Guan‐Ru Chen, Meng‐Rui Lee, et al.. (2023). Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. Journal of Medical Systems. 48(1). 1–1. 6 indexed citations
6.
Chen, Po‐Ting, Po‐Chuan Wang, Tinghui Wu, et al.. (2023). Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset. BMC Cancer. 23(1). 58–58. 7 indexed citations
7.
Chen, Po‐Ting, Tinghui Wu, Po‐Chuan Wang, et al.. (2022). Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study. Radiology. 306(1). 172–182. 82 indexed citations
8.
Lee, Chih‐Kuo, Weichung Wang, Yucheng Huang, et al.. (2021). Coronary CT angiography-based estimation of myocardial perfusion territories for coronary artery FFR and wall shear stress simulation. Scientific Reports. 11(1). 13855–13855. 5 indexed citations
9.
Liu, Kao‐Lang, Tinghui Wu, Po‐Ting Chen, et al.. (2020). Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation. The Lancet Digital Health. 2(6). e303–e313. 139 indexed citations
10.
Wang, Weichung, et al.. (2014). Performance models and workload distribution algorithms for optimizing a hybrid CPU–GPU multifrontal solver. Computers & Mathematics with Applications. 67(7). 1421–1437. 1 indexed citations
11.
Lin, Wen‐Wei, et al.. (2014). Eigenvalue solvers for three dimensional photonic crystals with face-centered cubic lattice. Journal of Computational and Applied Mathematics. 272. 350–361. 9 indexed citations
12.
Qiu, Jiaheng, Ray‐Bing Chen, Weichung Wang, & Weng Kee Wong. (2014). Using animal instincts to design efficient biomedical studies via particle swarm optimization. Swarm and Evolutionary Computation. 18. 1–10. 32 indexed citations
13.
Lin, Wen-Wei, et al.. (2012). Matrix representation of the double-curl operator for simulating three dimensional photonic crystals. Mathematical and Computer Modelling. 58(1-2). 379–392. 11 indexed citations
14.
Wang, Weichung, et al.. (2011). Using adaptive multi-accurate function evaluations in a surrogate-assisted method for computer experiments. Journal of Computational and Applied Mathematics. 235(10). 3151–3162. 2 indexed citations
15.
Chen, Chuncheng, Weichung Wang, & Shinn‐Jyh Ding. (2010). In vitro physiochemical properties of a biomimetic gelatin/chitosan oligosaccharide/calcium silicate cement. Journal of Biomedical Materials Research Part B Applied Biomaterials. 95B(2). 456–465. 29 indexed citations
16.
Wang, Weichung, et al.. (2007). Numerical schemes for three-dimensional irregular shape quantum dots over curvilinear coordinate systems. Journal of Computational Physics. 226(1). 754–773. 9 indexed citations
17.
Wang, Weichung & Ray‐Bing Chen. (2007). Finding effective points by surrogate models with overcomplete bases. Journal of Computational and Applied Mathematics. 217(1). 110–122. 2 indexed citations
18.
Wang, Weichung, et al.. (2005). Energy states of vertically aligned quantum dot array with nonparabolic effective mass. Computers & Mathematics with Applications. 49(1). 39–51. 8 indexed citations
19.
Lin, Wen‐Wei, et al.. (2003). Numerical simulation of three dimensional pyramid quantum dot. Journal of Computational Physics. 196(1). 208–232. 70 indexed citations
20.
Wang, Weichung. (2002). The convergence of an interior-point method using modified search directions in final iterations. Computers & Mathematics with Applications. 44(3-4). 347–356. 2 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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