Jing Peng

123 total papers · 1.0k total citations
76 papers, 689 citations indexed

About

Jing Peng is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jing Peng has authored 76 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Computer Vision and Pattern Recognition and 18 papers in Artificial Intelligence. Recurrent topics in Jing Peng's work include Spectroscopy and Chemometric Analyses (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (8 papers). Jing Peng is often cited by papers focused on Spectroscopy and Chemometric Analyses (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Topic Modeling (8 papers). Jing Peng collaborates with scholars based in China, United States and Canada. Jing Peng's co-authors include Leiqing Pan, Kang Tu, Jinzhao Song, Sita Awasthi, Harvey M. Friedman, Michael G. Mauk, Haim H. Bau, Changchun Liu, Ke Sun and Yan Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Coordination Chemistry Reviews.

In The Last Decade

Jing Peng

63 papers receiving 660 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Peng 201 152 137 89 87 76 689
Yuanyuan Wu 190 0.9× 212 1.4× 56 0.4× 85 1.0× 20 0.2× 43 595
Chongchong Yu 99 0.5× 42 0.3× 33 0.2× 143 1.6× 154 1.8× 95 773
Youhua Zhang 142 0.7× 265 1.7× 45 0.3× 42 0.5× 44 0.5× 53 778
K R Venugopal 67 0.3× 56 0.4× 63 0.5× 55 0.6× 60 0.7× 71 635
Clarimar José Coelho 64 0.3× 48 0.3× 88 0.6× 285 3.2× 74 0.9× 49 684
Hao Jiang 112 0.6× 181 1.2× 70 0.5× 70 0.8× 114 1.3× 86 758
Henrique Mohallem Paiva 134 0.7× 20 0.1× 312 2.3× 62 0.7× 46 0.5× 46 701
Hao Li 75 0.4× 50 0.3× 154 1.1× 233 2.6× 116 1.3× 45 772
Vijayakumar Ponnusamy 85 0.4× 43 0.3× 46 0.3× 62 0.7× 162 1.9× 86 620
Hu Zhi 98 0.5× 90 0.6× 11 0.1× 126 1.4× 108 1.2× 78 715

Countries citing papers authored by Jing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Peng

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