Shaohua Sun

54 total papers · 2.9k total citations
35 papers, 1.7k citations indexed

About

Shaohua Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Shaohua Sun has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Shaohua Sun's work include Topic Modeling (8 papers), Multimodal Machine Learning Applications (4 papers) and Web Data Mining and Analysis (3 papers). Shaohua Sun is often cited by papers focused on Topic Modeling (8 papers), Multimodal Machine Learning Applications (4 papers) and Web Data Mining and Analysis (3 papers). Shaohua Sun collaborates with scholars based in United States, China and Taiwan. Shaohua Sun's co-authors include Evgeniy Gabrilovich, Kevin Murphy, Xin Luna Dong, Geremy Heitz, Ni Lao, Wei Zhang, Rahul Gupta, Robert West, Dekang Lin and Yu-Chiang Frank Wang and has published in prestigious journals such as Medical Physics, Remote Sensing and Proceedings of the VLDB Endowment.

In The Last Decade

Shaohua Sun

31 papers receiving 1.6k citations

Hit Papers

Knowledge vault 2014 2026 2018 2022 2014 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Shaohua Sun 1.3k 372 326 292 95 35 1.7k
Wei Zhang 1.0k 0.8× 275 0.7× 273 0.8× 217 0.7× 165 1.7× 56 1.4k
Estevam Hruschka 2.0k 1.6× 320 0.9× 538 1.7× 260 0.9× 81 0.9× 80 2.4k
Geremy Heitz 1.0k 0.8× 306 0.8× 254 0.8× 461 1.6× 73 0.8× 12 1.6k
Gjergji Kasneci 1.3k 1.0× 247 0.7× 469 1.4× 211 0.7× 155 1.6× 58 2.0k
Dimitris Kontokostas 1.8k 1.4× 514 1.4× 489 1.5× 224 0.8× 56 0.6× 27 2.0k
Alexander L. Strehl 1.3k 1.0× 347 0.9× 262 0.8× 318 1.1× 175 1.8× 28 1.8k
Ron Bekkerman 862 0.7× 183 0.5× 467 1.4× 219 0.8× 194 2.0× 35 1.3k
Bin Cao 689 0.6× 228 0.6× 912 2.8× 382 1.3× 106 1.1× 35 1.5k
Yao Wu 789 0.6× 390 1.0× 827 2.5× 313 1.1× 249 2.6× 42 1.6k
Ming-Feng Tsai 1.3k 1.1× 346 0.9× 982 3.0× 611 2.1× 100 1.1× 63 2.2k

Countries citing papers authored by Shaohua Sun

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Sun

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