Wei‐Hsun Wang

27 papers receiving 325 citations

Peers

Wei‐Hsun Wang
Comparison fields: 5 of 120
  • Health Informatics 17
  • Medical Laboratory Technology 6
  • Molecular Medicine 15
  • Orthodontics 12
  • Biomaterials 33
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Vidhya Rekha Umapathy India
Ioana Scrobotă Romania
Jinjin Liu China
Francesca K. H. Gavins United Kingdom
Md. Habibur Rahman Bangladesh
Hae-Ri Kim South Korea
Ajay Vikram Singh Germany
Ramona Amina Popovici Romania
Pooja Tagde Bangladesh
Ashwani Sharma India
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Citations per year

Countries citing papers authored by Wei‐Hsun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Hsun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐Hsun 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 Wei‐Hsun Wang Line = papers co-authored together Wei‐Hsun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202360
2 201236
3 202129
4 201628
5 202022
6 202021
7 201720
8 202018
9 202116
10 20189
11 20188
12 20218
13
Simultaneous imaging of temporal changes of NF-κB activity and viable tumor cells in Huh7/NF-κB-tk-luc2/rfp tumor-bearing mice.
20137
14 20217
15 20096
16 20235
17 20225
18 20235
19 20234
20 20104

About Wei‐Hsun Wang

Wei‐Hsun Wang is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Biomedical Engineering, Materials Chemistry and Surgery, having authored 29 papers that have together received 330 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (3 papers), Smart Parking Systems Research (2 papers), Bone Tissue Engineering Materials (2 papers), Physical Activity and Health (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Health and Lifestyle Studies (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Dental materials and restorations (2 papers). The work is most often cited by research in Health Informatics (17 citations), Medical Laboratory Technology (6 citations), Molecular Medicine (15 citations), Orthodontics (12 citations) and Biomaterials (33 citations). Wei‐Hsun Wang has collaborated with scholars based in Taiwan, India and Thailand. Frequent co-authors include Jeng‐Jong Hwang, Chi‐Jen Shih, I‐Tsang Chiang, Feng‐Cheng Tang, Wuu‐Jyh Lin, Shu-Ling Huang, Yung‐Sheng Lin, Ren-Hau Li, Jih‐Gau Juang and Weilin Li. Their work appears in journals such as Scientific Reports, Pharmaceuticals, Materials, Chemical and Biological Technologies in Agriculture and Applied Physics Letters.

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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