Chaobin Wang
Impact in
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- Breast Cancer Treatment Studies
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- Acute Ischemic Stroke Management
Papers in
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- Breast Cancer Treatment Studies 6
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- Recommender Systems and Techniques 2
- Mobile and Web Applications 1
- User Authentication and Security Systems 1
- Co-authors
- Shu Wang (8 shared papers)Houpu Yang (6 shared papers)Siyuan Wang (5 shared papers)Fei Xie (4 shared papers)Fuzhong Tong (4 shared papers)Jiajia Guo (2 shared papers)Bo Zhou (2 shared papers)Danhua Shen (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)BMC Cancer (1 paper)Breast Cancer Research and Treatment (1 paper)Cancer Medicine (1 paper)Informatics (1 paper)
- Partner nations
- China
In The Last Decade
Chaobin Wang
25 papers receiving 316 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 61
- Epidemiology 96
- Oncology 42
- Pathology and Forensic Medicine 27
- Biomedical Engineering 52
Countries citing papers authored by Chaobin Wang
This map shows the geographic impact of Chaobin 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 Chaobin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaobin Wang more than expected).
Fields of papers citing papers by Chaobin Wang
This network shows the impact of papers produced by Chaobin 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 Chaobin Wang. The network helps show where Chaobin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaobin 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2022 | 72 | |
| 3 | 2020 | 40 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 19 | |
| 7 | 2019 | 13 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2014 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2019 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2012 | 1 |
About Chaobin Wang
Chaobin Wang is a scholar working on Cancer Research, Information Systems, Pathology and Forensic Medicine, Artificial Intelligence and Electrical and Electronic Engineering, having authored 30 papers that have together received 333 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Acute Ischemic Stroke Management (3 papers), Breast Lesions and Carcinomas (3 papers), Recommender Systems and Techniques (2 papers), Optimal Power Flow Distribution (2 papers), Mobile and Web Applications (1 paper), Inertial Sensor and Navigation (1 paper) and User Authentication and Security Systems (1 paper). The work is most often cited by research in Cancer Research (61 citations), Epidemiology (96 citations), Oncology (42 citations), Pathology and Forensic Medicine (27 citations) and Biomedical Engineering (52 citations). Chaobin Wang has collaborated with scholars based in China. Frequent co-authors include Shu Wang, Houpu Yang, Siyuan Wang, Fei Xie, Fuzhong Tong, Jiajia Guo, Bo Zhou, Danhua Shen, Xinli Geng and Miao Liu. Their work appears in journals such as Science Translational Medicine, BMC Cancer, Breast Cancer Research and Treatment, Cancer Medicine and Informatics.
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.