Shulin Liu

26 total papers · 502 total citations
17 papers, 293 citations indexed

About

Shulin Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Shulin Liu has authored 17 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Shulin Liu's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Advanced Graph Neural Networks (2 papers). Shulin Liu is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Advanced Graph Neural Networks (2 papers). Shulin Liu collaborates with scholars based in China, United States and Canada. Shulin Liu's co-authors include Kang Liu, Jun Zhao, Yubo Chen, Shizhu He, Di Wang, Feng Zhang, Tao Yang, Xiaomei Liu, Guangyou Zhou and Jun Zhao and has published in prestigious journals such as Molecular and Cellular Biology, Medicine and Linear Algebra and its Applications.

In The Last Decade

Shulin Liu

15 papers receiving 274 citations

Author Peers

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

Author Last Decade Papers Cites
Shulin Liu 266 64 28 23 17 17 293
Dai Quoc Nguyen 166 0.6× 92 1.4× 14 0.5× 24 1.0× 15 0.9× 17 242
Le Sun 285 1.1× 61 1.0× 33 1.2× 28 1.2× 17 1.0× 25 352
Sebastian Spiegler 199 0.7× 60 0.9× 12 0.4× 30 1.3× 10 0.6× 18 270
Ben London 210 0.8× 53 0.8× 24 0.9× 36 1.6× 14 0.8× 18 263
Yueyang Zhang 201 0.8× 45 0.7× 38 1.4× 15 0.7× 31 1.8× 22 273
Baoxing Huai 258 1.0× 59 0.9× 46 1.6× 85 3.7× 16 0.9× 31 340
Shanchan Wu 264 1.0× 75 1.2× 24 0.9× 34 1.5× 42 2.5× 19 335
Zhanming Jie 251 0.9× 37 0.6× 33 1.2× 42 1.8× 19 1.1× 15 308
Thabet Slimani 140 0.5× 87 1.4× 20 0.7× 27 1.2× 23 1.4× 18 219
Baoyu Jing 221 0.8× 39 0.6× 22 0.8× 30 1.3× 11 0.6× 18 269

Countries citing papers authored by Shulin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shulin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shulin Liu

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