Jingjing Chen

280 total papers · 5.6k total citations
146 papers, 3.2k citations indexed

About

Jingjing Chen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jingjing Chen has authored 146 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 48 papers in Biomedical Engineering and 39 papers in Artificial Intelligence. Recurrent topics in Jingjing Chen's work include Multimodal Machine Learning Applications (27 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Jingjing Chen is often cited by papers focused on Multimodal Machine Learning Applications (27 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Jingjing Chen collaborates with scholars based in China, Singapore and Hong Kong. Jingjing Chen's co-authors include Yu–Gang Jiang, Chong‐Wah Ngo, Zuxuan Wu, Xingjun Ma, Tat‐Seng Chua, Bojia Zi, Bin Zhu, Zheng Wang, Zhipeng Wei and Li Wang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jingjing Chen

131 papers receiving 3.1k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Jingjing Chen 1.4k 1.0k 810 333 327 146 3.2k
Domingo Mery 1.3k 0.9× 424 0.4× 944 1.2× 279 0.8× 274 0.8× 197 5.0k
Xiaofeng Liao 397 0.3× 894 0.9× 598 0.7× 676 2.0× 167 0.5× 163 5.0k
Feng Lu 1.3k 1.0× 316 0.3× 277 0.3× 656 2.0× 549 1.7× 175 3.8k
Ping Liu 2.2k 1.6× 1.2k 1.1× 326 0.4× 153 0.5× 136 0.4× 135 3.6k
Mei Liu 390 0.3× 807 0.8× 344 0.4× 325 1.0× 149 0.5× 179 3.2k
Wenyan Jia 549 0.4× 158 0.2× 809 1.0× 933 2.8× 205 0.6× 158 3.4k
Peng Chen 387 0.3× 298 0.3× 303 0.4× 173 0.5× 358 1.1× 208 4.0k
Qing Li 682 0.5× 355 0.3× 675 0.8× 446 1.3× 298 0.9× 314 3.5k
Cheng Xiang 565 0.4× 484 0.5× 214 0.3× 417 1.3× 127 0.4× 228 2.8k
Xiaojuan Wang 363 0.3× 584 0.6× 267 0.3× 1.2k 3.6× 398 1.2× 211 3.5k

Countries citing papers authored by Jingjing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jingjing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingjing Chen

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