Chen Ju

204 total papers · 1.1k total citations
34 papers, 234 citations indexed

About

Chen Ju is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chen Ju has authored 34 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Information Systems. Recurrent topics in Chen Ju's work include Species Distribution and Climate Change (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Chen Ju is often cited by papers focused on Species Distribution and Climate Change (3 papers), Multimodal Machine Learning Applications (3 papers) and Human Pose and Action Recognition (3 papers). Chen Ju collaborates with scholars based in China, United States and Malaysia. Chen Ju's co-authors include Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor, Ya Zhang, Peisen Zhao, Kai Li, Yuzhe Tang, Yanfeng Wang, Charles Kamhoua, Laurent Njilla and Yi Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Chen Ju

29 papers receiving 223 citations

Author Peers

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

Author Last Decade Papers Cites
Chen Ju 100 77 72 44 19 34 234
Matthias Baumgarten 93 0.9× 67 0.9× 78 1.1× 76 1.7× 9 0.5× 33 231
S. Sivasubramanian 107 1.1× 46 0.6× 73 1.0× 84 1.9× 8 0.4× 36 293
R. Kiran Kumar 108 1.1× 58 0.8× 54 0.8× 75 1.7× 17 0.9× 43 280
C. Nalini 105 1.1× 47 0.6× 60 0.8× 83 1.9× 13 0.7× 39 292
Shu‐Wei Jin 88 0.9× 75 1.0× 81 1.1× 46 1.0× 14 0.7× 22 311
Iman Qays Abduljaleel 92 0.9× 138 1.8× 84 1.2× 87 2.0× 17 0.9× 30 307
Anand Mahendran 69 0.7× 26 0.3× 61 0.8× 62 1.4× 10 0.5× 57 202
Jiantao Zhou 113 1.1× 87 1.1× 95 1.3× 50 1.1× 13 0.7× 24 277
Ziqiang Wang 150 1.5× 104 1.4× 96 1.3× 67 1.5× 13 0.7× 60 319
G. Pradeepini 91 0.9× 41 0.5× 54 0.8× 47 1.1× 5 0.3× 41 239

Countries citing papers authored by Chen Ju

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Ju

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