Peng Wan
- Plant Science
- Analytical Chemistry top 5%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Arash ToudeshkiHequn TanReza EhsaniDaoqiang ZhangFang ChenWentao KongDongsheng CheQuan Sun
- Topics
- AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Spam and Phishing Detection (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Peng Wan
39 papers receiving 474 citations
Peers
Comparison fields: 5 of 109
- Plant Science 159
- Analytical Chemistry 99
- Radiology, Nuclear Medicine and Imaging 83
- Artificial Intelligence 65
- Electrical and Electronic Engineering 64
Countries citing papers authored by Peng Wan
This map shows the geographic impact of Peng Wan'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 Peng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wan more than expected).
Fields of papers citing papers by Peng Wan
This network shows the impact of papers produced by Peng Wan. 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 Peng Wan. The network helps show where Peng Wan may publish in the future.
Co-authorship network of co-authors of Peng Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wan. A scholar is included among the top collaborators of Peng Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peng Wan. Peng Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 38 | |
| 13 | 6 | |
| 14 | 31 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 1 |
About Peng Wan
Peng Wan is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 489 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Analytical Chemistry (99 citations), Health Informatics (8 citations) and Plant Science (159 citations). Peng Wan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Arash Toudeshki, Hequn Tan, Reza Ehsani, Daoqiang Zhang, Fang Chen, Wentao Kong, Dongsheng Che, Quan Sun, You Wang and Juanyuan Hao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.