Shimei Pan

156 total papers · 3.7k total citations
92 papers, 2.2k citations indexed

About

Shimei Pan is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Shimei Pan has authored 92 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Artificial Intelligence, 16 papers in Information Systems and 14 papers in Sociology and Political Science. Recurrent topics in Shimei Pan's work include Topic Modeling (30 papers), Speech and dialogue systems (29 papers) and Natural Language Processing Techniques (24 papers). Shimei Pan is often cited by papers focused on Topic Modeling (30 papers), Speech and dialogue systems (29 papers) and Natural Language Processing Techniques (24 papers). Shimei Pan collaborates with scholars based in United States, China and Hong Kong. Shimei Pan's co-authors include Jianwu Wang, Athanasios V. Vasilakos, Lina Zhou, Michelle X. Zhou, Diane Litman, Shi‐Xia Liu, Weihong Qian, Kathleen McKeown, Yangqiu Song and James R. Foulds and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Shimei Pan

84 papers receiving 2.1k citations

Hit Papers

Machine learning on big d... 2017 2026 2020 2023 2017 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Shimei Pan 1.3k 454 349 165 146 92 2.2k
Ninghao Liu 1.4k 1.1× 247 0.5× 359 1.0× 79 0.5× 145 1.0× 70 2.1k
Michael Granitzer 1.2k 1.0× 434 1.0× 565 1.6× 163 1.0× 57 0.4× 167 1.8k
Rayid Ghani 1.5k 1.2× 379 0.8× 543 1.6× 169 1.0× 116 0.8× 76 2.5k
Alessandro Bozzon 855 0.7× 228 0.5× 682 2.0× 215 1.3× 89 0.6× 143 1.8k
Jie Yang 1.0k 0.8× 246 0.5× 701 2.0× 144 0.9× 55 0.4× 134 1.8k
Xiaojuan Ma 952 0.8× 618 1.4× 239 0.7× 414 2.5× 88 0.6× 192 2.8k
Michael Terry 920 0.7× 637 1.4× 423 1.2× 237 1.4× 264 1.8× 80 2.8k
Mengnan Du 1.5k 1.2× 601 1.3× 138 0.4× 69 0.4× 137 0.9× 61 2.5k
Liang He 1.2k 1.0× 557 1.2× 366 1.0× 143 0.9× 34 0.2× 191 2.2k
Murray Campbell 1.1k 0.9× 530 1.2× 101 0.3× 249 1.5× 124 0.8× 111 2.4k

Countries citing papers authored by Shimei Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shimei Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimei Pan

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