Pengyu Wang

141 total papers · 1.2k total citations
85 papers, 746 citations indexed

About

Pengyu Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Pengyu Wang has authored 85 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Mechanical Engineering. Recurrent topics in Pengyu Wang's work include Image Enhancement Techniques (6 papers), AI in cancer detection (5 papers) and Video Surveillance and Tracking Methods (4 papers). Pengyu Wang is often cited by papers focused on Image Enhancement Techniques (6 papers), AI in cancer detection (5 papers) and Video Surveillance and Tracking Methods (4 papers). Pengyu Wang collaborates with scholars based in China, Hong Kong and United Kingdom. Pengyu Wang's co-authors include Hongqing Zhu, Jianmei Zhang, Xiaofeng Ling, Haitao Min, Yuanbin Yu, Shuhong Wang, Muhammad Zaffar Hashmi, Han Zhang, Yixuan Yuan and Shuhong Wang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of the Acoustical Society of America.

In The Last Decade

Pengyu Wang

66 papers receiving 729 citations

Author Peers

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

Author						Papers	Cites
Pengyu Wang	293	136	95	74	71	85	746
Liang Li	103 0.4×	38 0.3×	83 0.9×	37 0.5×	123 1.7×	100	698
Cheng Lian	139 0.5×	47 0.3×	175 1.8×	55 0.7×	149 2.1×	51	727
Chuan He	321 1.1×	42 0.3×	133 1.4×	70 0.9×	9 0.1×	82	765
Liguan Wang	133 0.5×	39 0.3×	201 2.1×	90 1.2×	42 0.6×	88	760
Jia Zheng	358 1.2×	63 0.5×	195 2.1×	33 0.4×	70 1.0×	44	631
Rui Zhang	320 1.1×	23 0.2×	209 2.2×	39 0.5×	29 0.4×	53	666
Liang Chen	95 0.3×	66 0.5×	128 1.3×	142 1.9×	27 0.4×	61	645
Xiaoyan Liu	123 0.4×	30 0.2×	39 0.4×	237 3.2×	31 0.4×	88	827
Donglin Zhu	147 0.5×	111 0.8×	290 3.1×	32 0.4×	41 0.6×	68	680
Ming Lu	107 0.4×	99 0.7×	134 1.4×	98 1.3×	37 0.5×	67	870

Countries citing papers authored by Pengyu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Pengyu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Wang

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