Lin‐Wei Wang
Impact in
- Toxicology top 10%
- Biophysics top 10%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
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- Breast Cancer Treatment Studies 7
- Co-authors
- Haitao Tang (4 shared papers)Ying‐Ming Pan (3 shared papers)Yan Li (5 shared papers)Jingping Yuan (9 shared papers)Chun‐Wei Peng (5 shared papers)Xiu‐Jin Meng (2 shared papers)Guifang Yang (7 shared papers)Zu‐Yu Mo (2 shared papers)
In The Last Decade
Lin‐Wei Wang
27 papers receiving 615 citations
Peers
Comparison fields: 5 of 110
- Toxicology 20
- Biophysics 33
- Cancer Research 85
- Organic Chemistry 139
- Radiology, Nuclear Medicine and Imaging 100
Countries citing papers authored by Lin‐Wei Wang
This map shows the geographic impact of Lin‐Wei 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 Lin‐Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin‐Wei Wang more than expected).
Fields of papers citing papers by Lin‐Wei Wang
This network shows the impact of papers produced by Lin‐Wei 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 Lin‐Wei Wang. The network helps show where Lin‐Wei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin‐Wei 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 129 | |
| 2 | 2017 | 52 | |
| 3 | 2015 | 50 | |
| 4 | 2015 | 49 | |
| 5 | 2023 | 41 | |
| 6 | 2021 | 29 | |
| 7 | 2013 | 27 | |
| 8 | 2013 | 25 | |
| 9 | High expression of transform growth factor beta 1 in gastric cancer confers worse outcome: results of a cohort study on 184 patients. | 2014 | 25 |
| 10 | 2013 | 22 | |
| 11 | 2023 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2014 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2015 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2015 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2016 | 7 |
About Lin‐Wei Wang
Lin‐Wei Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence, having authored 28 papers that have together received 621 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Sulfur-Based Synthesis Techniques (4 papers), Radical Photochemical Reactions (4 papers), Gastric Cancer Management and Outcomes (4 papers), Cell Image Analysis Techniques (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Toxicology (20 citations), Biophysics (33 citations), Cancer Research (85 citations), Organic Chemistry (139 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). Lin‐Wei Wang has collaborated with scholars based in China and Russia. Frequent co-authors include Haitao Tang, Ying‐Ming Pan, Yan Li, Jingping Yuan, Chun‐Wei Peng, Xiu‐Jin Meng, Guifang Yang, Zu‐Yu Mo, Chuang Chen and Aiping Qu. Their work appears in journals such as Scientific Reports, Tumor Biology, Organic & Biomolecular Chemistry, The Journal of Organic Chemistry and Journal of Cancer.
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.