Zhimao Peng

9 total papers · 458 total citations
5 papers, 341 citations indexed

About

Zhimao Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Zhimao Peng has authored 5 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Zhimao Peng's work include Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhimao Peng is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (2 papers). Zhimao Peng collaborates with scholars based in China and United States. Zhimao Peng's co-authors include Zechao Li, Jinhui Tang, Guo-Jun Qi, Hao Tang, Junge Zhang, Yan Li, Fei Yang, Xialei Liu and Ming‐Ming Cheng and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Zhimao Peng

3 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
Zhimao Peng 240 202 36 32 16 5 341
Yaroslav Ganin 160 0.7× 202 1.0× 39 1.1× 20 0.6× 23 1.4× 5 377
Ruijia Xu 175 0.7× 224 1.1× 23 0.6× 22 0.7× 16 1.0× 9 348
Yuang Liu 238 1.0× 226 1.1× 50 1.4× 16 0.5× 13 0.8× 8 348
Ravi Krishna 144 0.6× 204 1.0× 30 0.8× 21 0.7× 11 0.7× 6 322
Teli Ma 244 1.0× 215 1.1× 38 1.1× 26 0.8× 12 0.8× 4 374
Hongyang Xue 305 1.3× 273 1.4× 50 1.4× 14 0.4× 25 1.6× 6 394
Qiqi Gu 318 1.3× 215 1.1× 40 1.1× 31 1.0× 10 0.6× 13 398
Yuanyi Zhong 263 1.1× 184 0.9× 41 1.1× 32 1.0× 14 0.9× 9 387
Xindi Wu 220 0.9× 185 0.9× 25 0.7× 50 1.6× 19 1.2× 5 374
Dong Xu 227 0.9× 275 1.4× 23 0.6× 36 1.1× 6 0.4× 4 378

Countries citing papers authored by Zhimao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Zhimao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhimao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhimao Peng. A scholar is included among the top collaborators of Zhimao Peng 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 Zhimao Peng. Zhimao Peng 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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2026