Jiaxin Chen

48 total papers · 836 total citations
22 papers, 437 citations indexed

About

Jiaxin Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiaxin Chen has authored 22 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Jiaxin Chen's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jiaxin Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Cancer-related molecular mechanisms research (3 papers). Jiaxin Chen collaborates with scholars based in China, United Arab Emirates and Hong Kong. Jiaxin Chen's co-authors include Ling Shao, Jie Qin, Li Liu, Zhao Zhang, Fan Zhu, Xingsong Hou, Jiaxi Wu, Di Huang, Fumin Shen and Yunhong Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Jiaxin Chen

19 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Jiaxin Chen	280	276	37	32	26	22	437
Rita Chattopadhyay	352 1.3×	174 0.6×	18 0.5×	49 1.5×	22 0.8×	20	466
Yemin Shi	299 1.1×	311 1.1×	54 1.5×	59 1.8×	12 0.5×	24	464
Chenglong Zhao	272 1.0×	294 1.1×	27 0.7×	15 0.5×	13 0.5×	23	413
Bo Li	175 0.6×	188 0.7×	24 0.6×	21 0.7×	21 0.8×	15	393
Yi Lu	137 0.5×	131 0.5×	24 0.6×	25 0.8×	18 0.7×	31	398
Zheyan Shen	350 1.3×	187 0.7×	19 0.5×	11 0.3×	21 0.8×	17	490
Peng Gao	132 0.5×	215 0.8×	25 0.7×	28 0.9×	13 0.5×	21	401
Yifei Huang	209 0.7×	286 1.0×	42 1.1×	34 1.1×	44 1.7×	31	399
ShahRukh Athar	118 0.4×	235 0.9×	25 0.7×	21 0.7×	30 1.2×	17	407
Guile Wu	180 0.6×	338 1.2×	16 0.4×	71 2.2×	17 0.7×	21	452

Countries citing papers authored by Jiaxin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Jiaxin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxin Chen

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