Chenchen Zhu

101 total papers · 3.5k total citations
42 papers, 1.3k citations indexed

About

Chenchen Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chenchen Zhu has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 5 papers in Molecular Biology. Recurrent topics in Chenchen Zhu's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Face and Expression Recognition (6 papers). Chenchen Zhu is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Face and Expression Recognition (6 papers). Chenchen Zhu collaborates with scholars based in China, United States and Hong Kong. Chenchen Zhu's co-authors include Marios Savvides, Xiangyu Zhang, Yihui He, Jianren Wang, Khoa Luu, Ngan Le, Zengchang Qin, Tao Wan, Yutong Zheng and Fangyi Chen and has published in prestigious journals such as Applied Physics Letters, Frontiers in Immunology and Pattern Recognition.

In The Last Decade

Chenchen Zhu

38 papers receiving 1.3k citations

Hit Papers

Bounding Box Regression W... 2019 2026 2021 2023 2019 2024 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Chenchen Zhu 833 364 227 218 89 42 1.3k
Jing Pan 908 1.1× 354 1.0× 198 0.9× 170 0.8× 60 0.7× 93 1.7k
Stefano Ghidoni 801 1.0× 340 0.9× 159 0.7× 142 0.7× 67 0.8× 76 1.6k
Bogusław Cyganek 516 0.6× 335 0.9× 128 0.6× 131 0.6× 47 0.5× 75 1.3k
Dongfang Liu 935 1.1× 296 0.8× 153 0.7× 116 0.5× 49 0.6× 69 1.4k
Gang Qian 746 0.9× 273 0.8× 166 0.7× 116 0.5× 132 1.5× 76 1.4k
Qijie Zhao 983 1.2× 259 0.7× 158 0.7× 179 0.8× 49 0.6× 56 1.3k
Dan Song 709 0.9× 264 0.7× 187 0.8× 132 0.6× 50 0.6× 92 1.2k
Raymond Ptucha 617 0.7× 329 0.9× 90 0.4× 141 0.6× 100 1.1× 76 1.1k
Liyuan Li 1.1k 1.3× 223 0.6× 121 0.5× 195 0.9× 145 1.6× 98 1.8k
J. Woodfill 1.1k 1.4× 178 0.5× 264 1.2× 171 0.8× 158 1.8× 34 1.5k

Countries citing papers authored by Chenchen Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Chenchen Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenchen Zhu

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