Leigang Qu

23 total papers · 510 total citations
11 papers, 297 citations indexed

About

Leigang Qu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Leigang Qu has authored 11 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Leigang Qu's work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Video Analysis and Summarization (4 papers). Leigang Qu is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Video Analysis and Summarization (4 papers). Leigang Qu collaborates with scholars based in China, Singapore and Hong Kong. Leigang Qu's co-authors include Liqiang Nie, Meng Liu, Qi Tian, Jianlong Wu, Zan Gao, Da Cao, Tat‐Seng Chua, Shengqiong Wu, Hao Fei and Meng Dai and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the 30th ACM International Conference on Multimedia.

In The Last Decade

Leigang Qu

8 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Leigang Qu	250	147	15	14	12	11	297
Noel Codella	253 1.0×	182 1.2×	6 0.4×	12 0.9×	8 0.7×	9	321
Jiabo Ye	184 0.7×	159 1.1×	17 1.1×	5 0.4×	14 1.2×	14	277
Alireza Zareian	247 1.0×	228 1.6×	9 0.6×	10 0.7×	7 0.6×	10	341
Curtis Wigington	216 0.9×	192 1.3×	11 0.7×	22 1.6×	41 3.4×	17	336
Yiwu Zhong	288 1.2×	204 1.4×	8 0.5×	7 0.5×	6 0.5×	8	357
Byeongchang Kim	167 0.7×	223 1.5×	18 1.2×	27 1.9×	4 0.3×	15	344
Chuanjian Liu	197 0.8×	210 1.4×	8 0.5×	11 0.8×	8 0.7×	15	305
Gongbo Tang	91 0.4×	192 1.3×	22 1.5×	17 1.2×	7 0.6×	13	266
Chen Shen	277 1.1×	103 0.7×	10 0.7×	29 2.1×	10 0.8×	20	339
Guocheng Niu	212 0.8×	205 1.4×	17 1.1×	9 0.6×	4 0.3×	13	310

Countries citing papers authored by Leigang Qu

Since Specialization

Citations

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

Fields of papers citing papers by Leigang Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leigang Qu

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