Linghui Li

72 total papers · 524 total citations
46 papers, 237 citations indexed

About

Linghui Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Linghui Li has authored 46 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Linghui Li's work include Anomaly Detection Techniques and Applications (8 papers), Advanced Vision and Imaging (7 papers) and Network Security and Intrusion Detection (7 papers). Linghui Li is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Advanced Vision and Imaging (7 papers) and Network Security and Intrusion Detection (7 papers). Linghui Li collaborates with scholars based in China, Macao and South Korea. Linghui Li's co-authors include Meiyu Liang, Junping Du, Xiaoyong Li, Yali Gao, Fang‐Fang Du, Jianhua Li, Bing‐Bing Xu, Qinghui Huang, Ming Ma and Xuemei Ren and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Optics Express.

In The Last Decade

Linghui Li

35 papers receiving 228 citations

Author Peers

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

Author						Papers	Cites
Linghui Li	70	63	30	28	27	46	237
Luis F. Romero	28 0.4×	44 0.7×	12 0.4×	36 1.3×	26 1.0×	29	272
Dongying Zhang	59 0.8×	26 0.4×	4 0.1×	32 1.1×	15 0.6×	31	330
Xiong Gao	84 1.2×	94 1.5×	6 0.2×	47 1.7×	9 0.3×	32	303
Kwangseob Kim	37 0.5×	12 0.2×	18 0.6×	23 0.8×	11 0.4×	47	306
Zhan Yu	24 0.3×	69 1.1×	20 0.7×	31 1.1×	55 2.0×	63	315
André Bigand	68 1.0×	97 1.5×	4 0.1×	8 0.3×	33 1.2×	32	270
Hanjiang Xiong	21 0.3×	114 1.8×	4 0.1×	20 0.7×	19 0.7×	33	316
Mei Wang	24 0.3×	26 0.4×	9 0.3×	61 2.2×	67 2.5×	44	323
S. K. Mittal	43 0.6×	34 0.5×	3 0.1×	20 0.7×	14 0.5×	36	290
Carlos Soubervielle‐Montalvo	49 0.7×	41 0.7×	11 0.4×	30 1.1×	17 0.6×	31	266

Countries citing papers authored by Linghui Li

Since Specialization

Citations

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

Fields of papers citing papers by Linghui Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linghui Li

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