Jin Zeng
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Water Science and Technology top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Gene CheungWen‐Xiong WangLiuyan YangJiahao PangMichael K. NgCheng YangZhiwei WangAntonio Ortega
- Topics
- Advanced Vision and Imaging (9 papers)Image Enhancement Techniques (9 papers)Advanced Image Processing Techniques (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionWater Science and Technology
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jin Zeng
32 papers receiving 458 citations
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 186
- Computational Mechanics 86
- Water Science and Technology 78
- Artificial Intelligence 68
- Biomedical Engineering 61
Countries citing papers authored by Jin Zeng
This map shows the geographic impact of Jin Zeng'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 Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zeng more than expected).
Fields of papers citing papers by Jin Zeng
This network shows the impact of papers produced by Jin Zeng. 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 Zeng. The network helps show where Jin Zeng may publish in the future.
Co-authorship network of co-authors of Jin Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zeng. A scholar is included among the top collaborators of Jin Zeng 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 Jin Zeng. Jin Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 15 | |
| 10 | 29 | |
| 11 | 2 | |
| 12 | 115 | |
| 13 | Deep Graph Laplacian Regularization | 2 |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 25 | |
| 19 | 14 | |
| 20 | 46 |
About Jin Zeng
Jin Zeng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 35 papers that have together received 471 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Image Enhancement Techniques (9 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (34 citations), Computer Vision and Pattern Recognition (186 citations) and Water Science and Technology (78 citations). Jin Zeng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Gene Cheung, Wen‐Xiong Wang, Liuyan Yang, Jiahao Pang, Michael K. Ng, Cheng Yang, Zhiwei Wang, Antonio Ortega, Ruobin Dai and Wenxiu Sun. Their work appears in journals such as Environmental Science & Technology, Water Research and IEEE Transactions on Image Processing.
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.