Wei Qu

64 total papers · 460 total citations
37 papers, 274 citations indexed

About

Wei Qu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Wei Qu has authored 37 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Wei Qu's work include Video Surveillance and Tracking Methods (13 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Wei Qu is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Energy Efficient Wireless Sensor Networks (7 papers). Wei Qu collaborates with scholars based in China, United States and United Kingdom. Wei Qu's co-authors include Dan Schonfeld, Xiaoqin Zhang, Steve Maybank, Weiming Hu, M.A. Mohamed, Magdi A. Mohamed, Nidhal Bouaynaya, Qingming Huang, Yang Zhang and Guorong Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Waste Management.

In The Last Decade

Wei Qu

30 papers receiving 250 citations

Author Peers

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

Author						Papers	Cites
Wei Qu	193	117	34	32	19	37	274
Yong Liu	171 0.9×	80 0.7×	36 1.1×	54 1.7×	21 1.1×	47	296
Cong Hu	173 0.9×	124 1.1×	13 0.4×	27 0.8×	17 0.9×	54	297
Huiying Xu	135 0.7×	63 0.5×	14 0.4×	17 0.5×	14 0.7×	40	286
Daniel Berjón	218 1.1×	39 0.3×	30 0.9×	55 1.7×	16 0.8×	33	325
Kwang-Seok Moon	175 0.9×	71 0.6×	39 1.1×	49 1.5×	20 1.1×	46	296
Wang Bao-shu	106 0.5×	80 0.7×	20 0.6×	28 0.9×	7 0.4×	46	272
Haoran Wang	187 1.0×	80 0.7×	11 0.3×	34 1.1×	11 0.6×	24	286
Haojun Ai	133 0.7×	53 0.5×	93 2.7×	48 1.5×	39 2.1×	44	313
Ming Xu	269 1.4×	59 0.5×	14 0.4×	24 0.8×	10 0.5×	34	312
Prithwijit Guha	111 0.6×	81 0.7×	24 0.7×	21 0.7×	18 0.9×	57	211

Countries citing papers authored by Wei Qu

Since Specialization

Citations

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

Fields of papers citing papers by Wei Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Qu

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