Nannan Li

127 total papers · 1.4k total citations
76 papers, 749 citations indexed

About

Nannan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Nannan Li has authored 76 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 11 papers in Computer Networks and Communications. Recurrent topics in Nannan Li's work include Anomaly Detection Techniques and Applications (14 papers), Video Surveillance and Tracking Methods (12 papers) and Human Pose and Action Recognition (11 papers). Nannan Li is often cited by papers focused on Anomaly Detection Techniques and Applications (14 papers), Video Surveillance and Tracking Methods (12 papers) and Human Pose and Action Recognition (11 papers). Nannan Li collaborates with scholars based in China, Macao and United States. Nannan Li's co-authors include Xinyu Wu, Huiwen Guo, Wei Feng, Dan Xu, Ge Li, Jia-Xing Zhong, Dan Xu, Yan Xu, Qianye Yang and Xingyu Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Journal of Cleaner Production.

In The Last Decade

Nannan Li

66 papers receiving 735 citations

Author Peers

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

Author						Papers	Cites
Nannan Li	409	343	131	86	75	76	749
Yingying Zhu	223 0.5×	232 0.7×	53 0.4×	214 2.5×	54 0.7×	63	808
Zheng Xiao	159 0.4×	321 0.9×	76 0.6×	182 2.1×	59 0.8×	54	781
Hong Zhou	288 0.7×	252 0.7×	59 0.5×	48 0.6×	31 0.4×	100	809
A. Ahilan	257 0.6×	190 0.6×	94 0.7×	101 1.2×	108 1.4×	70	812
Bilge Karaçalı	387 0.9×	187 0.5×	50 0.4×	234 2.7×	73 1.0×	58	887
Leiting Chen	328 0.8×	226 0.7×	54 0.4×	131 1.5×	39 0.5×	99	672
Nidhal Bouaynaya	280 0.7×	234 0.7×	46 0.4×	60 0.7×	108 1.4×	102	834
Piotr Porwik	330 0.8×	187 0.5×	38 0.3×	42 0.5×	68 0.9×	78	781
Leandro A. Passos	223 0.5×	207 0.6×	34 0.3×	137 1.6×	66 0.9×	48	646
Gustavo Henrique de Rosa	198 0.5×	252 0.7×	68 0.5×	31 0.4×	52 0.7×	37	808

Countries citing papers authored by Nannan Li

Since Specialization

Citations

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

Fields of papers citing papers by Nannan Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nannan Li

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