Xiangjun Li

71 total papers · 1.0k total citations
51 papers, 731 citations indexed

About

Xiangjun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiangjun Li has authored 51 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Xiangjun Li's work include Chaos-based Image/Signal Encryption (6 papers), Chaos control and synchronization (4 papers) and Network Security and Intrusion Detection (4 papers). Xiangjun Li is often cited by papers focused on Chaos-based Image/Signal Encryption (6 papers), Chaos control and synchronization (4 papers) and Network Security and Intrusion Detection (4 papers). Xiangjun Li collaborates with scholars based in China, Japan and United States. Xiangjun Li's co-authors include Lingfeng Liu, Feng Ding, Keping Yu, Kaiyue Zhang, Ge Wang, Xiubing Huang, Guopu Zhu, Mamoun Alazab, Danfeng Zhao and Zonghua Gu and has published in prestigious journals such as Coordination Chemistry Reviews, Nanoscale and Applied Surface Science.

In The Last Decade

Xiangjun Li

48 papers receiving 701 citations

Author Peers

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

Author Last Decade Papers Cites
Xiangjun Li 225 201 127 108 106 51 731
Bo Jiang 80 0.4× 218 1.1× 69 0.5× 73 0.7× 71 0.7× 74 636
Ying Li 133 0.6× 252 1.3× 104 0.8× 34 0.3× 90 0.8× 54 825
Sarana Nutanong 142 0.6× 238 1.2× 56 0.4× 168 1.6× 78 0.7× 74 787
Yuepeng Wang 21 0.1× 212 1.1× 67 0.5× 82 0.8× 165 1.6× 64 774
Xing Liu 70 0.3× 94 0.5× 139 1.1× 262 2.4× 126 1.2× 38 850
Tong Liu 123 0.5× 364 1.8× 37 0.3× 96 0.9× 109 1.0× 56 812
Yangxi Li 386 1.7× 312 1.6× 38 0.3× 31 0.3× 33 0.3× 52 791
Xuan Li 205 0.9× 222 1.1× 370 2.9× 104 1.0× 42 0.4× 33 876
Junwei Wang 258 1.1× 124 0.6× 108 0.9× 28 0.3× 130 1.2× 66 849
Vikas Kumar 65 0.3× 118 0.6× 173 1.4× 90 0.8× 41 0.4× 60 813

Countries citing papers authored by Xiangjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangjun Li

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