Min Peng

60 total papers · 862 total citations
29 papers, 445 citations indexed

About

Min Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Min Peng has authored 29 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Min Peng's work include Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Min Peng is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Min Peng collaborates with scholars based in China, United Kingdom and Australia. Min Peng's co-authors include Tong Chen, Chongyang Wang, Zhan Wu, Zhihao Zhang, Tong Chen, Guangyuan Liu, Yanchun Zhang, Hua Wang, Gang Tian and Xu‐Hui Li and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Min Peng

26 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Min Peng	250	152	118	60	38	29	445
Jingting Li	300 1.2×	208 1.4×	131 1.1×	56 0.9×	36 0.9×	33	444
Yante Li	245 1.0×	253 1.7×	123 1.0×	65 1.1×	46 1.2×	20	456
Zenghai Chen	244 1.0×	191 1.3×	102 0.9×	42 0.7×	20 0.5×	20	469
Sirui Zhao	154 0.6×	101 0.7×	158 1.3×	24 0.4×	19 0.5×	24	440
Guanming Lu	204 0.8×	199 1.3×	97 0.8×	53 0.9×	28 0.7×	66	445
G. G. Lakshmi Priya	214 0.9×	66 0.4×	58 0.5×	56 0.9×	10 0.3×	27	391
Anh Cat Le Ngo	298 1.2×	291 1.9×	89 0.8×	72 1.2×	53 1.4×	15	464
Wen-Huang Cheng	296 1.2×	74 0.5×	129 1.1×	61 1.0×	12 0.3×	49	469
Tianrong Rao	279 1.1×	105 0.7×	181 1.5×	20 0.3×	61 1.6×	19	476
Wenyun Sun	236 0.9×	140 0.9×	71 0.6×	98 1.6×	19 0.5×	18	404

Countries citing papers authored by Min Peng

Since Specialization

Citations

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

Fields of papers citing papers by Min Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Peng

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