Yunqi Lei

58 total papers · 512 total citations
45 papers, 336 citations indexed

About

Yunqi Lei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Yunqi Lei has authored 45 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Computational Mechanics. Recurrent topics in Yunqi Lei's work include Human Pose and Action Recognition (11 papers), 3D Shape Modeling and Analysis (10 papers) and Face and Expression Recognition (9 papers). Yunqi Lei is often cited by papers focused on Human Pose and Action Recognition (11 papers), 3D Shape Modeling and Analysis (10 papers) and Face and Expression Recognition (9 papers). Yunqi Lei collaborates with scholars based in China, United Kingdom and United States. Yunqi Lei's co-authors include Qicong Wang, Yan Zhang, Yan Zhang, David Wang, Qingmin Li, Cuihua Li, Shihao Zhou, Yong Liu, Yehu Shen and Zhuliang Yu and has published in prestigious journals such as Optics Express, IEEE Access and Pattern Recognition.

In The Last Decade

Yunqi Lei

43 papers receiving 314 citations

Author Peers

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

Author						Papers	Cites
Yunqi Lei	210	72	51	44	40	45	336
Elisavet Chatzilari	139 0.7×	80 1.1×	60 1.2×	62 1.4×	34 0.8×	29	396
Andrei Bursuc	216 1.0×	48 0.7×	92 1.8×	35 0.8×	55 1.4×	31	379
Diego Thomas	231 1.1×	63 0.9×	18 0.4×	49 1.1×	99 2.5×	51	343
Zhaoxin Fan	196 0.9×	52 0.7×	44 0.9×	66 1.5×	107 2.7×	34	329
Xukun Shen	228 1.1×	40 0.6×	34 0.7×	22 0.5×	28 0.7×	90	340
Kai Berger	250 1.2×	50 0.7×	17 0.3×	24 0.5×	65 1.6×	25	346
Anders Hast	156 0.7×	61 0.8×	43 0.8×	30 0.7×	64 1.6×	64	360
Sanqing Qu	169 0.8×	79 1.1×	86 1.7×	71 1.6×	95 2.4×	29	361
Alain Crouzil	316 1.5×	43 0.6×	68 1.3×	11 0.3×	47 1.2×	27	376
Uma Mudenagudi	266 1.3×	63 0.9×	32 0.6×	56 1.3×	13 0.3×	50	357

Countries citing papers authored by Yunqi Lei

Since Specialization

Citations

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

Fields of papers citing papers by Yunqi Lei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunqi Lei

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