Tianshi Li

103 total papers · 1.3k total citations
53 papers, 789 citations indexed

About

Tianshi Li is a scholar working on Sociology and Political Science, Artificial Intelligence and Information Systems. According to data from OpenAlex, Tianshi Li has authored 53 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 11 papers in Artificial Intelligence and 10 papers in Information Systems. Recurrent topics in Tianshi Li's work include Privacy, Security, and Data Protection (13 papers), Advanced Malware Detection Techniques (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Tianshi Li is often cited by papers focused on Privacy, Security, and Data Protection (13 papers), Advanced Malware Detection Techniques (7 papers) and Parallel Computing and Optimization Techniques (5 papers). Tianshi Li collaborates with scholars based in United States, China and Kenya. Tianshi Li's co-authors include Jason Hong, Yuvraj Agarwal, Saugata Ghose, Onur Mutlu, Baobao Chang, Qi Li, Donghyuk Lee, Kevin Hsieh, Hasan Hassan and Gennady Pekhimenko and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Tianshi Li

46 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Tianshi Li 201 184 156 143 122 53 789
Gabriele Lenzini 216 1.1× 237 1.3× 278 1.8× 115 0.8× 49 0.4× 103 864
Tieyan Li 56 0.3× 212 1.2× 356 2.3× 153 1.1× 32 0.3× 67 905
Joel C. Adams 68 0.3× 65 0.4× 242 1.6× 24 0.2× 162 1.3× 94 900
Fei Chen 82 0.4× 126 0.7× 76 0.5× 21 0.1× 106 0.9× 36 795
Kun Zhang 63 0.3× 288 1.6× 90 0.6× 157 1.1× 40 0.3× 47 884
Sung Min Bae 71 0.4× 64 0.3× 101 0.6× 84 0.6× 26 0.2× 80 756
Chunmei Liu 64 0.3× 170 0.9× 77 0.5× 96 0.7× 10 0.1× 77 707
Ying Li 65 0.3× 96 0.5× 206 1.3× 62 0.4× 15 0.1× 84 890
Cheng‐Ying Yang 229 1.1× 42 0.2× 101 0.6× 109 0.8× 8 0.1× 85 816
Chuantao Yin 39 0.2× 186 1.0× 148 0.9× 51 0.4× 7 0.1× 34 784

Countries citing papers authored by Tianshi Li

Since Specialization
Citations

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

Fields of papers citing papers by Tianshi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshi Li

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