Wei Quan

78 total papers · 471 total citations
59 papers, 313 citations indexed

About

Wei Quan is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Wei Quan has authored 59 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 12 papers in Mechanical Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Wei Quan's work include Electrical Contact Performance and Analysis (11 papers), Video Surveillance and Tracking Methods (8 papers) and Railway Systems and Energy Efficiency (8 papers). Wei Quan is often cited by papers focused on Electrical Contact Performance and Analysis (11 papers), Video Surveillance and Tracking Methods (8 papers) and Railway Systems and Energy Efficiency (8 papers). Wei Quan collaborates with scholars based in China, United States and Switzerland. Wei Quan's co-authors include Decui Liang, Jim X. Chen, Zeshui Xu, Adjei Peter Darko, Shibin Gao, Huan Wang, Haiquan Zhao, Ning Zhou, Long Yu and Yueping Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Sustainability.

In The Last Decade

Wei Quan

49 papers receiving 303 citations

Author Peers

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

Author						Papers	Cites
Wei Quan	93	75	57	51	50	59	313
Alejandro Hernández	52 0.6×	131 1.7×	124 2.2×	23 0.5×	33 0.7×	27	294
Shaolin Zhang	59 0.6×	101 1.3×	102 1.8×	42 0.8×	22 0.4×	27	332
Victor Parque	22 0.2×	122 1.6×	75 1.3×	46 0.9×	27 0.5×	86	340
Luige Vlădăreanu	62 0.7×	49 0.7×	89 1.6×	30 0.6×	32 0.6×	45	273
Seon Han Choi	72 0.8×	36 0.5×	48 0.8×	21 0.4×	33 0.7×	35	272
Stefan Witwicki	59 0.6×	63 0.8×	40 0.7×	44 0.9×	30 0.6×	27	350
Ji-Hyeong Han	28 0.3×	72 1.0×	44 0.8×	21 0.4×	53 1.1×	32	267
Georg Stettinger	35 0.4×	31 0.4×	131 2.3×	28 0.5×	23 0.5×	40	311
C.C. Hayes	43 0.5×	21 0.3×	33 0.6×	67 1.3×	14 0.3×	34	365
Hitoshi Kanoh	36 0.4×	92 1.2×	48 0.8×	8 0.2×	35 0.7×	42	313

Countries citing papers authored by Wei Quan

Since Specialization

Citations

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

Fields of papers citing papers by Wei Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Quan

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