Robin Wang

1.6k citations
36 papers · 1.3k · 1 hit paper · h-index 19

Impact in

Papers in

Robin Wang

35 papers receiving 1.2k citations

Robin Wang's Hit Papers

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT 2020 · 312 citations
3120+2+4Years since publication100200300

Peers

Robin Wang
Comparison fields: 5 of 101
  • Health Informatics 120
  • Radiology, Nuclear Medicine and Imaging 509
  • Orthopedics and Sports Medicine 54
  • Nephrology 59
  • Infectious Diseases 107
Replace Taiki Nozaki with:
Taiki Nozaki Japan
Ronit Brodie Israel
Chansik An South Korea
Bhushan Desai United States
Farouk Dako United States
Fahmi Hussein Kakamad Iraq
Patrick J. Leavey United States
Simone Schiaffino Italy
Lee Wheless United States
Roman Kloeckner Germany
Robin Wang relative to Taiki Nozaki Japan Taiki Nozaki's profile →
Citations per field
00.5×2×4×6×8×9.8×
Taiki Nozaki · 1×
Citations per year

Countries citing papers authored by Robin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Robin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Hit paper breakdown →
2020312
2 2020126
3 202196
4 201665
5 202059
6 202149
7 202048
8 201547
9 201546
10 202043
11 201441
12 201539
13 201830
14 201528
15 202228
16 202027
17 202125
18 200524
19 202120
20 200518

About Robin Wang

Robin Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Economics and Econometrics, Sociology and Political Science and Artificial Intelligence, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chinese history and philosophy (6 papers), COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Healthcare Policy and Management (3 papers), AI in cancer detection (2 papers), Bone health and osteoporosis research (1 paper) and Atrial Fibrillation Management and Outcomes (1 paper). The work is most often cited by research in Health Informatics (120 citations), Radiology, Nuclear Medicine and Imaging (509 citations), Orthopedics and Sports Medicine (54 citations), Nephrology (59 citations) and Infectious Diseases (107 citations). Robin Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan-Gang Wang, Xiaoyan He, Ken Chang, Zishu Zhang, Zhengju Fu, Zhaohai Jing, Paul J. Zhang, Raymond Y. Huang, Jie Wang and Yijun Zhao. Their work appears in journals such as Cellular Physiology and Biochemistry, Philosophy East and West, International Journal of Cardiology, Health Affairs and European Radiology.

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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