Jiexin Pu

106 total papers · 864 total citations
72 papers, 669 citations indexed

About

Jiexin Pu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jiexin Pu has authored 72 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Control and Systems Engineering. Recurrent topics in Jiexin Pu's work include Face and Expression Recognition (20 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Image Retrieval and Classification Techniques (13 papers). Jiexin Pu is often cited by papers focused on Face and Expression Recognition (20 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Image Retrieval and Classification Techniques (13 papers). Jiexin Pu collaborates with scholars based in China, Australia and Canada. Jiexin Pu's co-authors include Zhonghua Liu, Yongsheng Dong, Lifan Sun, Xuelong Li, Jinwen Ma, Dacheng Tao, Xiaona Wang, Yawen Chan, Chao Hu and Tao Mei and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Cybernetics.

In The Last Decade

Jiexin Pu

65 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Jiexin Pu	385	125	102	101	71	72	669
Qiang Cai	171 0.4×	134 1.1×	39 0.4×	42 0.4×	32 0.5×	86	645
Yoshito Mekada	319 0.8×	67 0.5×	64 0.6×	27 0.3×	25 0.4×	64	572
Sheng Li	211 0.5×	191 1.5×	48 0.5×	110 1.1×	57 0.8×	102	771
M. N. Giri Prasad	200 0.5×	176 1.4×	53 0.5×	82 0.8×	45 0.6×	83	600
Zhiyong Huang	219 0.6×	56 0.4×	33 0.3×	41 0.4×	38 0.5×	87	704
Qingyao Wu	161 0.4×	176 1.4×	22 0.2×	97 1.0×	22 0.3×	38	594
Erkan Bostancı	279 0.7×	187 1.5×	22 0.2×	55 0.5×	111 1.6×	90	765
Zhao Wang	348 0.9×	181 1.4×	80 0.8×	23 0.2×	23 0.3×	53	624
Lei Yang	257 0.7×	46 0.4×	68 0.7×	167 1.7×	49 0.7×	32	641
Seungkyu Lee	538 1.4×	28 0.2×	103 1.0×	36 0.4×	136 1.9×	64	793

Countries citing papers authored by Jiexin Pu

Since Specialization

Citations

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

Fields of papers citing papers by Jiexin Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiexin Pu

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