Chenlei Lv

61 total papers · 513 total citations
34 papers, 289 citations indexed

About

Chenlei Lv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chenlei Lv has authored 34 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chenlei Lv's work include 3D Shape Modeling and Analysis (14 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (8 papers). Chenlei Lv is often cited by papers focused on 3D Shape Modeling and Analysis (14 papers), Face and Expression Recognition (8 papers) and Face recognition and analysis (8 papers). Chenlei Lv collaborates with scholars based in China, Singapore and United States. Chenlei Lv's co-authors include Weisi Lin, Baoquan Zhao, Zhongke Wu, Xingce Wang, Weiqing Yan, Chang Tang, Liang Liao, Guanghui Yue, Ke Sun and Bingbing Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Chenlei Lv

29 papers receiving 282 citations

Author Peers

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

Author						Papers	Cites
Chenlei Lv	130	83	57	53	43	34	289
Qiguang Miao	146 1.1×	81 1.0×	71 1.2×	44 0.8×	62 1.4×	42	275
Jilin Mei	135 1.0×	77 0.9×	67 1.2×	44 0.8×	90 2.1×	23	275
Mostafa Merras	246 1.9×	22 0.3×	38 0.7×	58 1.1×	21 0.5×	25	308
Siqi Fan	105 0.8×	132 1.6×	132 2.3×	24 0.5×	136 3.2×	24	313
Àlvar Vinacua	143 1.1×	122 1.5×	27 0.5×	13 0.2×	15 0.3×	45	304
Federica Arrigoni	156 1.2×	58 0.7×	32 0.6×	29 0.5×	15 0.3×	23	214
Mahmoud Melkemi	119 0.9×	77 0.9×	20 0.4×	36 0.7×	28 0.7×	34	314
Marco Di Benedetto	166 1.3×	57 0.7×	47 0.8×	18 0.3×	28 0.7×	21	301
Yujing Sun	136 1.0×	77 0.9×	36 0.6×	82 1.5×	32 0.7×	26	314
Hao Fan	196 1.5×	18 0.2×	45 0.8×	40 0.8×	13 0.3×	49	323

Countries citing papers authored by Chenlei Lv

Since Specialization

Citations

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

Fields of papers citing papers by Chenlei Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenlei Lv

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