Jin Wan
Impact in
- Surfaces, Coatings and Films top 10%
- Polymer Surface Interaction Studies
Papers in
-
- Image Enhancement Techniques 9
- Advanced Vision and Imaging 8
- Advanced Image Processing Techniques 7
-
- Adhesion, Friction, and Surface Interactions 7
- Co-authors
- Dongyuan Zhao (2 shared papers)Feng Gao (1 shared paper)Jianwei Zhao (1 shared paper)Pengyuan Yang (1 shared paper)Yu Tian (7 shared papers)Ming Zhou (5 shared papers)Noshir S. Pesika (5 shared papers)Hui Yin (13 shared papers)
- Journals
- IEEE Transactions on Intelligent Vehicles (2 papers)Applied Intelligence (2 papers)IEEE Transactions on Broadcasting (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jin Wan
37 papers receiving 592 citations
Peers
Comparison fields: 5 of 126
- Surfaces, Coatings and Films 58
- Research and Theory 7
- Mechanics of Materials 134
- Media Technology 44
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Jin Wan
This map shows the geographic impact of Jin 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 Jin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wan more than expected).
Fields of papers citing papers by Jin Wan
This network shows the impact of papers produced by Jin 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 Jin Wan. The network helps show where Jin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 172 | |
| 2 | 2013 | 51 | |
| 3 | 2018 | 41 | |
| 4 | 2017 | 37 | |
| 5 | 2015 | 35 | |
| 6 | 2020 | 35 | |
| 7 | 2012 | 28 | |
| 8 | 2012 | 24 | |
| 9 | 2011 | 23 | |
| 10 | 2014 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2021 | 10 | |
| 16 | 2018 | 10 | |
| 17 | 2012 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 8 |
About Jin Wan
Jin Wan is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Molecular Biology, Atomic and Molecular Physics, and Optics and Media Technology, having authored 41 papers that have together received 614 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Advanced Vision and Imaging (8 papers), Adhesion, Friction, and Surface Interactions (7 papers), Advanced Image Processing Techniques (7 papers), Force Microscopy Techniques and Applications (5 papers), Anomaly Detection Techniques and Applications (4 papers), Image Processing Techniques and Applications (3 papers) and Advanced Image Fusion Techniques (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (58 citations), Research and Theory (7 citations), Mechanics of Materials (134 citations), Media Technology (44 citations) and Computer Vision and Pattern Recognition (102 citations). Jin Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Dongyuan Zhao, Feng Gao, Jianwei Zhao, Pengyuan Yang, Yu Tian, Ming Zhou, Noshir S. Pesika, Hui Yin, Yanting Liu and Yonggang Meng. Their work appears in journals such as IEEE Transactions on Intelligent Vehicles, Applied Intelligence, IEEE Transactions on Broadcasting, PLoS ONE and Scientific Reports.
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.