Jinfeng Pan
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Topics
- Gene Regulatory Network Analysis (9 papers)Video Surveillance and Tracking Methods (7 papers)Anomaly Detection Techniques and Applications (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputational Theory and Mathematics
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Jinfeng Pan
39 papers receiving 358 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 146
- Computer Vision and Pattern Recognition 128
- Artificial Intelligence 67
- Computational Theory and Mathematics 46
- Computer Networks and Communications 43
Countries citing papers authored by Jinfeng Pan
This map shows the geographic impact of Jinfeng Pan'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 Jinfeng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinfeng Pan more than expected).
Fields of papers citing papers by Jinfeng Pan
This network shows the impact of papers produced by Jinfeng Pan. 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 Jinfeng Pan. The network helps show where Jinfeng Pan may publish in the future.
Co-authorship network of co-authors of Jinfeng Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Jinfeng Pan. A scholar is included among the top collaborators of Jinfeng Pan 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 Jinfeng Pan. Jinfeng Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 11 | |
| 9 | 19 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | Impulse noise de-noising based on wavelet transform modulus maximum | 3 |
| 20 | An Improved Method of Wavelet Denoising from Its Wavelet Transform Modulus Maxima | 1 |
About Jinfeng Pan
Jinfeng Pan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Safety, Risk, Reliability and Quality, having authored 41 papers that have together received 372 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (9 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (128 citations), Media Technology (36 citations) and Computational Theory and Mathematics (46 citations). Jinfeng Pan has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Jun‐e Feng, Daizhan Cheng, Yongyuan Yu, Mingliang Gao, Guofeng Zou, Qilei Li, Min Meng, Wenzhe Zhai, Jianli Zhao and Juan Yao. Their work appears in journals such as IEEE Transactions on Automatic Control, Sensors and Remote Sensing.
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.