Nanyang Ye

73 total papers · 564 total citations
35 papers, 283 citations indexed

About

Nanyang Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Nanyang Ye has authored 35 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Nanyang Ye's work include Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Nanyang Ye is often cited by papers focused on Domain Adaptation and Few-Shot Learning (9 papers), Advanced Neural Network Applications (8 papers) and Anomaly Detection Techniques and Applications (7 papers). Nanyang Ye collaborates with scholars based in China, United Kingdom and Sweden. Nanyang Ye's co-authors include Rafał Mantiuk, Zhanxing Zhu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Haoyue Bai, S.-H. Gary Chan, Qinying Gu, Xinbing Wang and Kaican Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.

In The Last Decade

Nanyang Ye

30 papers receiving 273 citations

Author Peers

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

Author Last Decade Papers Cites
Nanyang Ye 146 144 27 20 16 35 283
Jiahui Li 104 0.7× 85 0.6× 26 1.0× 9 0.5× 17 1.1× 34 305
Kan Chen 163 1.1× 148 1.0× 25 0.9× 22 1.1× 23 1.4× 28 321
Yong Liu 80 0.5× 171 1.2× 36 1.3× 17 0.8× 10 0.6× 47 296
Jing Zhang 77 0.5× 168 1.2× 32 1.2× 29 1.4× 20 1.3× 41 297
Jean‐Philippe Domenger 38 0.3× 161 1.1× 47 1.7× 18 0.9× 12 0.8× 34 277
Eung-Joo Lee 83 0.6× 131 0.9× 8 0.3× 10 0.5× 9 0.6× 50 260
Bei Li 136 0.9× 137 1.0× 6 0.2× 18 0.9× 9 0.6× 29 262
Li Yao 172 1.2× 80 0.6× 54 2.0× 15 0.8× 51 3.2× 41 315
Le Liu 121 0.8× 125 0.9× 58 2.1× 6 0.3× 34 2.1× 24 314
Sid Ahmed Fezza 124 0.8× 146 1.0× 30 1.1× 33 1.6× 71 4.4× 28 280

Countries citing papers authored by Nanyang Ye

Since Specialization
Citations

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

Fields of papers citing papers by Nanyang Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanyang Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Nanyang Ye. A scholar is included among the top collaborators of Nanyang Ye 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 Nanyang Ye. Nanyang Ye 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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