Lin Shi

67 total papers · 916 total citations
41 papers, 507 citations indexed

About

Lin Shi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lin Shi has authored 41 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Information Systems, 18 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Lin Shi's work include Software Engineering Research (34 papers), Topic Modeling (12 papers) and Software Engineering Techniques and Practices (11 papers). Lin Shi is often cited by papers focused on Software Engineering Research (34 papers), Topic Modeling (12 papers) and Software Engineering Techniques and Practices (11 papers). Lin Shi collaborates with scholars based in China, United States and Canada. Lin Shi's co-authors include Qing Wang, Fabio Palomba, Muhammad Ilyas Azeem, Celia Chen, Barry Boehm, Ye Yang, Qing Wang, Qing Wang, Junjie Wang and Song Wang and has published in prestigious journals such as Information and Software Technology, ACM Transactions on Software Engineering and Methodology and Requirements Engineering.

In The Last Decade

Lin Shi

40 papers receiving 492 citations

Hit Papers

Machine learning techniqu... 2019 2026 2021 2023 2019 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Lin Shi 395 240 149 91 85 41 507
Rohan Padhye 275 0.7× 298 1.2× 142 1.0× 122 1.3× 163 1.9× 30 503
Xin Ye 503 1.3× 258 1.1× 164 1.1× 147 1.6× 123 1.4× 19 570
Oscar Chaparro 440 1.1× 231 1.0× 136 0.9× 104 1.1× 115 1.4× 30 506
André Hora 443 1.1× 158 0.7× 152 1.0× 186 2.0× 128 1.5× 49 503
Senthil Mani 371 0.9× 157 0.7× 133 0.9× 105 1.2× 67 0.8× 37 447
Toufique Ahmed 342 0.9× 150 0.6× 254 1.7× 104 1.1× 57 0.7× 25 502
Zhiyuan Wan 450 1.1× 184 0.8× 163 1.1× 151 1.7× 91 1.1× 26 566
Byungjeong Lee 508 1.3× 269 1.1× 123 0.8× 194 2.1× 114 1.3× 46 598
Markus Pizka 495 1.3× 273 1.1× 216 1.4× 139 1.5× 92 1.1× 37 575
DongGyun Han 407 1.0× 251 1.0× 124 0.8× 146 1.6× 48 0.6× 27 480

Countries citing papers authored by Lin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Shi

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