Guokun Lai

29 total papers · 4.2k total citations
8 papers, 1.1k citations indexed

About

Guokun Lai is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guokun Lai has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guokun Lai's work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Text Readability and Simplification (3 papers). Guokun Lai is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Text Readability and Simplification (3 papers). Guokun Lai collaborates with scholars based in United States and China. Guokun Lai's co-authors include Qizhe Xie, Eduard Hovy, Yiming Yang, Hanxiao Liu, Yi Zhang, Yongfeng Zhang, Shaoping Ma, Yiqun Liu, Min Zhang and Zihang Dai and has published in prestigious journals such as arXiv (Cornell University) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Guokun Lai

8 papers receiving 1.0k citations

Hit Papers

Explicit factor models fo... 2014 2026 2018 2022 2014 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Guokun Lai 949 473 270 71 53 8 1.1k
Carina Silberer 1.1k 1.2× 180 0.4× 243 0.9× 54 0.8× 64 1.2× 20 1.4k
Grégoire Mesnil 1.2k 1.3× 324 0.7× 313 1.2× 65 0.9× 24 0.5× 7 1.4k
Shiwen Wu 660 0.7× 602 1.3× 197 0.7× 103 1.5× 22 0.4× 6 914
Rahul G. Krishnan 724 0.8× 620 1.3× 331 1.2× 166 2.3× 26 0.5× 19 1.1k
David Andrzejewski 709 0.7× 232 0.5× 103 0.4× 49 0.7× 89 1.7× 11 981
Narjes Nikzad-Khasmakhi 809 0.9× 272 0.6× 172 0.6× 41 0.6× 113 2.1× 11 1.2k
Nico Schlaefer 712 0.8× 193 0.4× 106 0.4× 88 1.2× 19 0.4× 7 911
Pipei Huang 547 0.6× 648 1.4× 297 1.1× 119 1.7× 52 1.0× 10 943
Ruining He 660 0.7× 848 1.8× 432 1.6× 186 2.6× 32 0.6× 11 1.1k
Diarmuid Ó Séaghdha 917 1.0× 230 0.5× 123 0.5× 74 1.0× 52 1.0× 32 1.2k

Countries citing papers authored by Guokun Lai

Since Specialization
Citations

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

Fields of papers citing papers by Guokun Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guokun Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Guokun Lai. A scholar is included among the top collaborators of Guokun Lai 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 Guokun Lai. Guokun Lai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026