Chenglei Peng

44 total papers · 522 total citations
28 papers, 350 citations indexed

About

Chenglei Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Chenglei Peng has authored 28 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Chenglei Peng's work include Data Stream Mining Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Advanced Vision and Imaging (4 papers). Chenglei Peng is often cited by papers focused on Data Stream Mining Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Advanced Vision and Imaging (4 papers). Chenglei Peng collaborates with scholars based in China, United States and Bangladesh. Chenglei Peng's co-authors include T. Sasaki, Tohru Ifukube, Baoshan Zhang, Yanan Zhang, Sidan Du, Yu Zhou, Yao Yu, He Zhao, Yang Li and Guan Xu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and Journal of Alloys and Compounds.

In The Last Decade

Chenglei Peng

26 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Chenglei Peng 79 61 57 55 54 28 350
Yan Zhai 15 0.2× 19 0.3× 17 0.3× 37 0.7× 42 0.8× 35 329
Xiaoran Fan 36 0.5× 16 0.3× 71 1.2× 38 0.7× 28 0.5× 39 301
Zhijian Yang 47 0.6× 25 0.4× 73 1.3× 22 0.4× 59 1.1× 14 325
Wenming Wang 25 0.3× 77 1.3× 22 0.4× 13 0.2× 22 0.4× 43 334
Haitao Wang 67 0.8× 12 0.2× 144 2.5× 68 1.2× 101 1.9× 43 394
Haipeng Liu 11 0.1× 6 0.1× 125 2.2× 73 1.3× 107 2.0× 28 395
Zhen Zhou 19 0.2× 7 0.1× 54 0.9× 41 0.7× 9 0.2× 58 337
Jiawei Tang 14 0.2× 21 0.3× 52 0.9× 16 0.3× 8 0.1× 36 354
Swadhin Pradhan 32 0.4× 54 0.9× 48 0.8× 27 0.5× 74 1.4× 18 379
James Cunningham 9 0.1× 16 0.3× 35 0.6× 18 0.3× 15 0.3× 31 380

Countries citing papers authored by Chenglei Peng

Since Specialization
Citations

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

Fields of papers citing papers by Chenglei Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglei Peng

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