Shi Li

132 total papers · 1.1k total citations
63 papers, 550 citations indexed

About

Shi Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Shi Li has authored 63 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Computational Theory and Mathematics. Recurrent topics in Shi Li's work include Optimization and Search Problems (15 papers), Complexity and Algorithms in Graphs (13 papers) and Advanced Graph Theory Research (7 papers). Shi Li is often cited by papers focused on Optimization and Search Problems (15 papers), Complexity and Algorithms in Graphs (13 papers) and Advanced Graph Theory Research (7 papers). Shi Li collaborates with scholars based in China, United States and South Korea. Shi Li's co-authors include Yefeng Yang, Tianguo Jin, Bo Yang, Shilong Wang, Julia Chuzhoy, Xiang‐Yang Li, Shaojie Tang, Yunhao Liu, Inshil Doh and Moses Charikar and has published in prestigious journals such as IEEE Access, Frontiers in Microbiology and Journal of the ACM.

In The Last Decade

Shi Li

58 papers receiving 532 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Shi Li 242 159 105 97 78 63 550
Hartmut Noltemeier 116 0.5× 115 0.7× 59 0.6× 118 1.2× 39 0.5× 39 468
Boris Goldengorin 138 0.6× 259 1.6× 77 0.7× 141 1.5× 120 1.5× 59 610
Binay Bhattacharya 181 0.7× 100 0.6× 105 1.0× 98 1.0× 66 0.8× 69 591
Eduardo G. Pardo 96 0.4× 414 2.6× 38 0.4× 93 1.0× 99 1.3× 39 589
Claudio Sterle 73 0.3× 383 2.4× 93 0.9× 47 0.5× 23 0.3× 54 586
Paula Zabala 119 0.5× 274 1.7× 28 0.3× 113 1.2× 45 0.6× 28 547
Abílio Lucena 187 0.8× 371 2.3× 54 0.5× 167 1.7× 66 0.8× 37 570
Eranda Çela 110 0.5× 256 1.6× 25 0.2× 119 1.2× 80 1.0× 29 456
Maurizio Talamo 213 0.9× 79 0.5× 17 0.2× 80 0.8× 89 1.1× 75 573
Alexander Ageev 225 0.9× 128 0.8× 94 0.9× 209 2.2× 88 1.1× 24 463

Countries citing papers authored by Shi Li

Since Specialization
Citations

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

Fields of papers citing papers by Shi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi Li

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