Yuanfeng Ji

41 total papers · 2.1k total citations
6 papers, 202 citations indexed

About

Yuanfeng Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yuanfeng Ji has authored 6 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Yuanfeng Ji's work include Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Yuanfeng Ji is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Neural Network Applications (2 papers). Yuanfeng Ji collaborates with scholars based in China, Hong Kong and United States. Yuanfeng Ji's co-authors include Di Lin, Hui Huang, Ping Li, Ruimao Zhang, Ping Luo, Xihui Liu, Enze Xie, Lanqing Hong, Tong Lü and Zhenguo Li and has published in prestigious journals such as IEEE Transactions on Cybernetics, PolyU Institutional Research Archive (Hong Kong Polytechnic University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Yuanfeng Ji

5 papers receiving 198 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuanfeng Ji 158 50 40 16 15 6 202
Payel Roy 90 0.6× 41 0.8× 29 0.7× 14 0.9× 18 1.2× 4 181
Markus Hofmarcher 141 0.9× 73 1.5× 23 0.6× 9 0.6× 14 0.9× 6 257
Matthieu Cord 104 0.7× 73 1.5× 19 0.5× 6 0.4× 4 0.3× 9 231
Junke Wang 193 1.2× 114 2.3× 62 1.6× 13 0.8× 5 0.3× 12 252
P. S. Eliahim Jeevaraj 67 0.4× 36 0.7× 30 0.8× 7 0.4× 20 1.3× 7 195
Réka Hollandi 82 0.5× 77 1.5× 34 0.8× 4 0.3× 42 2.8× 10 247
Pingli Ma 67 0.4× 70 1.4× 67 1.7× 6 0.4× 44 2.9× 9 243
Noel E. O’Connor 204 1.3× 37 0.7× 27 0.7× 4 0.3× 28 1.9× 11 258
Hezheng Lin 93 0.6× 63 1.3× 23 0.6× 3 0.2× 39 2.6× 7 198
Steven Walton 192 1.2× 76 1.5× 70 1.8× 13 0.8× 15 1.0× 5 283

Countries citing papers authored by Yuanfeng Ji

Since Specialization
Citations

This map shows the geographic impact of Yuanfeng Ji'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 Yuanfeng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanfeng Ji more than expected).

Fields of papers citing papers by Yuanfeng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuanfeng Ji. 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 Yuanfeng Ji. The network helps show where Yuanfeng Ji may publish in the future.

Co-authorship network of co-authors of Yuanfeng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanfeng Ji. A scholar is included among the top collaborators of Yuanfeng Ji 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 Yuanfeng Ji. Yuanfeng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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