Weilun Wang
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- Artificial Intelligence in Healthcare 2
- Hardware and Architecture top 10%
- VLSI and Analog Circuit Testing 5
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- Radiomics and Machine Learning in Medical Imaging 5
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- Integrated Circuits and Semiconductor Failure Analysis 5
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- Lung Cancer Diagnosis and Treatment 4
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- AI in cancer detection 4
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- Peptidase Inhibition and Analysis 3
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Goutam ChakrabortyBasabi ChakrabortyRoger J. GarceauKuen-Jong LeeJhing-Fa WangJiaquan ChenQihong NiXiangjiang Guo
- Cited by
- Health Information ManagementHardware and ArchitecturePediatrics, Perinatology and Child Health
In The Last Decade
Weilun Wang
31 papers receiving 348 citations
Peers
Comparison fields: 5 of 96
- Health Information Management 50
- Hardware and Architecture 37
- Pediatrics, Perinatology and Child Health 60
- Public Health, Environmental and Occupational Health 80
- Radiology, Nuclear Medicine and Imaging 55
Countries citing papers authored by Weilun Wang
This map shows the geographic impact of Weilun 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 Weilun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weilun Wang more than expected).
Fields of papers citing papers by Weilun Wang
This network shows the impact of papers produced by Weilun 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 Weilun Wang. The network helps show where Weilun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weilun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 2 | |
| 16 | Grading Liver Carcinoma Stage Analyzing Cell Biopsy Image | 2020 | 1 |
| 17 | 2020 | 7 | |
| 18 | 2020 | 68 | |
| 19 | 2019 | 1 | |
| 20 | 1996 | 95 |
About Weilun Wang
Weilun Wang is a scholar working on Hardware and Architecture, Internal Medicine, Health Information Management, Immunology and Allergy and Software, having authored 38 papers that have together received 367 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), VLSI and Analog Circuit Testing (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), AI in cancer detection (4 papers), Peptidase Inhibition and Analysis (3 papers), EEG and Brain-Computer Interfaces (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Information Management (50 citations), Hardware and Architecture (37 citations), Pediatrics, Perinatology and Child Health (60 citations), Public Health, Environmental and Occupational Health (80 citations) and Radiology, Nuclear Medicine and Imaging (55 citations). Weilun Wang has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Goutam Chakraborty, Basabi Chakraborty, Roger J. Garceau, Kuen-Jong Lee, Jhing-Fa Wang, Jiaquan Chen, Qihong Ni, Xiangjiang Guo, Guiping Li and Lan Zhang. Their work appears in journals such as Journal of Endovascular Therapy, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Medicine, Frontiers in Immunology and Atherosclerosis.
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.