Limin Chen

74 total papers · 411 total citations
41 papers, 266 citations indexed

About

Limin Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Limin Chen has authored 41 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Limin Chen's work include Advanced Image and Video Retrieval Techniques (6 papers), Energy Load and Power Forecasting (4 papers) and Blind Source Separation Techniques (4 papers). Limin Chen is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Energy Load and Power Forecasting (4 papers) and Blind Source Separation Techniques (4 papers). Limin Chen collaborates with scholars based in China, Canada and Taiwan. Limin Chen's co-authors include Sujoy B. Roy, Paul H. Hutton, Hao Ren, Xuchun Wang, Lixia Qiu, Yi Su, Zeping Ren, Meichen Li, Chunquan Li and Gongbin Qian and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Limin Chen

35 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Limin Chen	46	44	42	36	32	41	266
Ritu Chauhan	92 2.0×	40 0.9×	17 0.4×	13 0.4×	25 0.8×	48	329
Wajid Ali	62 1.3×	84 1.9×	14 0.3×	12 0.3×	12 0.4×	46	306
B. Solaiman	70 1.5×	100 2.3×	22 0.5×	32 0.9×	10 0.3×	46	308
Tonglai Liu	47 1.0×	40 0.9×	23 0.5×	7 0.2×	22 0.7×	41	276
Krishnamoorthi Makkithaya	69 1.5×	54 1.2×	28 0.7×	11 0.3×	16 0.5×	35	331
Slobodan Kalajdziski	38 0.8×	55 1.3×	35 0.8×	24 0.7×	4 0.1×	26	277
Achyutha Prasad N	85 1.8×	44 1.0×	92 2.2×	10 0.3×	17 0.5×	35	321
Do-Yeon Kim	35 0.8×	38 0.9×	19 0.5×	16 0.4×	4 0.1×	44	284
Vinay Kumar Nassa	82 1.8×	38 0.9×	57 1.4×	6 0.2×	17 0.5×	31	298
Karisma Trinanda Putra	127 2.8×	25 0.6×	51 1.2×	12 0.3×	20 0.6×	47	313

Countries citing papers authored by Limin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Limin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Limin Chen

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