Siqi Sun

92 total papers · 5.3k total citations
46 papers, 1.9k citations indexed

About

Siqi Sun is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Siqi Sun has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Molecular Biology and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Siqi Sun's work include Topic Modeling (10 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Bioinformatics (7 papers). Siqi Sun is often cited by papers focused on Topic Modeling (10 papers), RNA and protein synthesis mechanisms (7 papers) and Machine Learning in Bioinformatics (7 papers). Siqi Sun collaborates with scholars based in China, United States and Japan. Siqi Sun's co-authors include Jinbo Xu, Sheng Wang, Renyu Zhang, Zhen Li, Shizhu He, Qing‐Long Han, Kang Liu, Jingping Liu, Yang Tang and Tianyu Wu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Siqi Sun

41 papers receiving 1.8k citations

Hit Papers

A Brief Overview of ChatG... 2017 2026 2020 2023 2023 2017 2024 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
Siqi Sun 745 584 234 217 177 46 1.9k
Kyle Lo 616 0.8× 1.9k 3.2× 91 0.4× 113 0.5× 171 1.0× 43 2.5k
Yingce Xia 279 0.4× 978 1.7× 149 0.6× 120 0.6× 381 2.2× 56 1.5k
Arman Cohan 573 0.8× 1.8k 3.1× 83 0.4× 107 0.5× 128 0.7× 73 2.3k
Qian Liu 293 0.4× 877 1.5× 33 0.1× 95 0.4× 255 1.4× 128 1.9k
Jian Tang 494 0.7× 1.4k 2.4× 62 0.3× 342 1.6× 250 1.4× 95 2.9k
Iz Beltagy 507 0.7× 1.6k 2.7× 58 0.2× 98 0.5× 120 0.7× 16 1.9k
Abubakar Abid 557 0.7× 793 1.4× 195 0.8× 25 0.1× 155 0.9× 22 2.0k
David Ferrucci 368 0.5× 1.8k 3.2× 69 0.3× 26 0.1× 238 1.3× 31 2.5k
Hao Cheng 469 0.6× 1.2k 2.1× 158 0.7× 23 0.1× 353 2.0× 44 1.7k
K Taki 1.4k 1.9× 304 0.5× 54 0.2× 719 3.3× 50 0.3× 34 2.9k

Countries citing papers authored by Siqi Sun

Since Specialization
Citations

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

Fields of papers citing papers by Siqi Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqi Sun

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