Wei‐Hsin Wang

26 papers receiving 535 citations

Peers

Wei‐Hsin Wang
Comparison fields: 5 of 63
  • Otorhinolaryngology 34
  • Neurology 106
  • Endocrinology, Diabetes and Metabolism 66
  • Epidemiology 123
  • Surgery 144
Replace Hidehito Kimura with:
Hidehito Kimura Japan
Fatma Özlen Türkiye
Anthony Bared United States
In Yong Park South Korea
Victor Cuvinciuc Switzerland
Asem Salma United States
Jan Kaminsky Germany
Juergen Grauvogel Germany
Markus Donat Austria
W. Luxenberger Austria
Wei‐Hsin Wang relative to Hidehito Kimura Japan Hidehito Kimura's profile →
Citations per field
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Citations per year

Countries citing papers authored by Wei‐Hsin Wang

Since Specialization
Citations

This map shows the geographic impact of Wei‐Hsin 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‐Hsin 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‐Hsin Wang more than expected).

Fields of papers citing papers by Wei‐Hsin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200999
2 201476
3 201545
4 201544
5 200940
6 201639
7 202036
8 201935
9 201528
10 201522
11 201418
12 201911
13 201210
14 201910
15 20177
16 20236
17 20205
18 20194
19 20214
20 20123

About Wei‐Hsin Wang

Wei‐Hsin Wang is a scholar working on Surgery, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Electrical and Electronic Engineering, having authored 30 papers that have together received 552 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (7 papers), Head and Neck Surgical Oncology (7 papers), Pituitary Gland Disorders and Treatments (5 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Sinusitis and nasal conditions (2 papers), Microwave Engineering and Waveguides (2 papers), Olfactory and Sensory Function Studies (2 papers) and Semiconductor Lasers and Optical Devices (2 papers). The work is most often cited by research in Otorhinolaryngology (34 citations), Neurology (106 citations), Endocrinology, Diabetes and Metabolism (66 citations), Epidemiology (123 citations) and Surgery (144 citations). Wei‐Hsin Wang has collaborated with scholars based in Taiwan, United States and Belgium. Frequent co-authors include Eric W. Wang, Tze-Min Shen, Ruey‐Beei Wu, Ting-Yi Huang, Juan C. Fernandez‐Miranda, Paul A. Gardner, Cheng‐Chia Lee, Chun‐Fu Lin, Yang‐Hsin Shih and Sanford P. C. Hsu. Their work appears in journals such as Journal of neurosurgery, Operative Neurosurgery, Journal of Neuro-Oncology, Clinical Neurology and Neurosurgery and IEEE Transactions on Microwave Theory and Techniques.

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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