Siqi Sun

5.4k total citations · 3 hit papers
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), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (7 papers). Siqi Sun is often cited by papers focused on Topic Modeling (10 papers), Machine Learning in Bioinformatics (7 papers) and RNA and protein synthesis mechanisms (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, Jingping Liu, Qing‐Long Han, Shizhu He, Kang Liu, Tianyu Wu and Yang Tang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Siqi Sun

43 papers receiving 1.9k citations

Hit Papers

A Brief Overview of ChatGPT... 2017 2026 2020 2023 2023 2017 2024 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
    2023 776 citations Siqi Sun et al. profile →
  2. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
    2017 625 citations Sheng Wang, Siqi Sun et al. profile →
  3. Accurate RNA 3D structure prediction using a language model-based deep learning approach
    2024 61 citations Tao Shen, Zhihang Hu et al. Nature Methods profile →

Peers

Siqi Sun
Kyle Lo United States
Arman Cohan United States
Jian Tang China
Iz Beltagy United States
Zhihao Yang China
Matthew Hutson Canada
David Ferrucci United States
Chen Lin China
Ziwei Ji Hong Kong
Kyle Lo United States
Siqi Sun
Citations per year, relative to Siqi Sun Siqi Sun (= 1×) peers Kyle Lo

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

20 of 20 papers shown
1.
Wang, Jianmin, Chunyan Li, Zixu Wang, et al.. (2025). Instruction multi-constraint molecular generation using a teacher-student large language model. BMC Biology. 23(1). 105–105. 1 indexed citations
2.
Yang, Guang, Guohao Yu, Hongqian Zhang, et al.. (2025). γBMGC: A Comprehensive and Accurate Database for Screening TMAO-Associated Cardiovascular Diseases. Microorganisms. 13(2). 225–225. 1 indexed citations
3.
Yang, Jing, Siqi Sun, Lu Li, et al.. (2024). HMMER-Extractor: an auxiliary toolkit for identifying genomic macromolecular metabolites based on Hidden Markov Models. International Journal of Biological Macromolecules. 283(Pt 2). 137666–137666. 4 indexed citations
4.
Shen, Tao, Sheng Xu, Bin Pang, et al.. (2024). AF2-mutation: adversarial sequence mutations against AlphaFold2 in protein tertiary structure prediction. SHILAP Revista de lepidopterología. 3(4). 1 indexed citations
5.
Liu, Chang, Rong Wang, Tianyun Zhang, et al.. (2024). SpliceTransformer predicts tissue-specific splicing linked to human diseases. Nature Communications. 15(1). 9129–9129. 6 indexed citations
6.
Shen, Tao, Zhihang Hu, Siqi Sun, et al.. (2024). Accurate RNA 3D structure prediction using a language model-based deep learning approach. Nature Methods. 21(12). 2287–2298. 61 indexed citations breakdown →
7.
Sun, Siqi, et al.. (2024). Causal Representation Learning via Counterfactual Intervention. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3234–3242. 2 indexed citations
8.
Hong, Liang, Zhigang Hu, Siqi Sun, et al.. (2024). Fast, sensitive detection of protein homologs using deep dense retrieval. Nature Biotechnology. 43(6). 983–995. 13 indexed citations
9.
Xu, Sheng, et al.. (2024). SSBlazer: a genome-wide nucleotide-resolution model for predicting single-strand break sites. Genome biology. 25(1). 46–46. 3 indexed citations
10.
Shen, Tao, et al.. (2024). CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2661–2669. 3 indexed citations
11.
Sun, Siqi & Wenjie Ruan. (2023). TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees. 4362–4380. 1 indexed citations
12.
Sun, Siqi, et al.. (2022). Motor Learning based on Presentation of a Tentative Goal. 601–607. 1 indexed citations
13.
Fang, Yuwei, Siqi Sun, Zhe Gan, et al.. (2020). Hierarchical Graph Network for Multi-hop Question Answering. 8823–8838. 89 indexed citations
14.
Wang, Shuohang, Yuwei Fang, Siqi Sun, et al.. (2020). Cross-Thought for Sentence Encoder Pre-training. 412–421. 9 indexed citations
15.
Zhu, Chen, Yu Cheng, Zhe Gan, Siqi Sun, & Thomas Goldstein. (2019). FreeLB: Enhanced Adversarial Training for Language Understanding. arXiv (Cornell University). 3 indexed citations
16.
Obo, Takenori, et al.. (2017). Human-robot interaction based on cognitive bias to increase motivation for daily exercise. 2945–2950. 4 indexed citations
17.
Sun, Siqi, Takenori Obo, & Naoyuki Kubota. (2016). Health Promotion Support System Using Robot Partner. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2016(0). 1A1–15a1. 1 indexed citations
18.
Sun, Siqi, Hai Wang, & Jinbo Xu. (2015). Inferring Block Structure of Graphical Models in Exponential Families. International Conference on Artificial Intelligence and Statistics. 939–947. 8 indexed citations
19.
Sun, Siqi, Mladen Kolar, & Jinbo Xu. (2015). Learning structured densities via infinite dimensional exponential families. Neural Information Processing Systems. 28. 2287–2295. 2 indexed citations
20.
Sun, Siqi, et al.. (2014). Adaptive Variable Clustering in Gaussian Graphical Models. International Conference on Artificial Intelligence and Statistics. 18(1). 931–939. 7 indexed citations

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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