Cheng Wan
Impact in
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- Computer Graphics and Visualization Techniques
Papers in
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- Machine Learning in Healthcare 3
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- Advanced Vision and Imaging 4
- Co-authors
- Chaojian Li (8 shared papers)Yingyan Lin (9 shared papers)Sixu Li (5 shared papers)Yonggan Fu (8 shared papers)Yang Zhao (6 shared papers)Haoran You (5 shared papers)Yongan Zhang (4 shared papers)Zhongzhi Yu (2 shared papers)
- Journals
- Frontiers in Psychiatry (1 paper)Academic Radiology (1 paper)Knowledge-Based Systems (1 paper)IEEE Micro (1 paper)SIAM Journal on Optimization (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Cheng Wan
42 papers receiving 293 citations
Peers
Comparison fields: 5 of 91
- Computer Graphics and Computer-Aided Design 25
- Health Informatics 5
- Computer Vision and Pattern Recognition 71
- Hardware and Architecture 21
- Software 9
Countries citing papers authored by Cheng Wan
This map shows the geographic impact of Cheng 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 Cheng Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Wan more than expected).
Fields of papers citing papers by Cheng Wan
This network shows the impact of papers produced by Cheng 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 Cheng Wan. The network helps show where Cheng Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng Wan, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 49 | |
| 2 | 2023 | 40 | |
| 3 | 2024 | 31 | |
| 4 | 2015 | 16 | |
| 5 | 2024 | 14 | |
| 6 | 2016 | 14 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2015 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 4 |
About Cheng Wan
Cheng Wan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Information Systems and Signal Processing, having authored 47 papers that have together received 298 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (4 papers), Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (4 papers), Data Management and Algorithms (3 papers), 3D Shape Modeling and Analysis (3 papers), Brain Tumor Detection and Classification (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (25 citations), Health Informatics (5 citations), Computer Vision and Pattern Recognition (71 citations), Hardware and Architecture (21 citations) and Software (9 citations). Cheng Wan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Chaojian Li, Yingyan Lin, Sixu Li, Yonggan Fu, Yang Zhao, Haoran You, Yongan Zhang, Zhongzhi Yu, Hong Li and Zhiqi Li. Their work appears in journals such as Frontiers in Psychiatry, Academic Radiology, Knowledge-Based Systems, IEEE Micro and SIAM Journal on Optimization.
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.