Sirui Ding

1.5k total citations · 2 hit papers
11 papers, 820 citations indexed

About

Sirui Ding is a scholar working on Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sirui Ding has authored 11 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Health Information Management and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sirui Ding's work include Topic Modeling (6 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (2 papers). Sirui Ding is often cited by papers focused on Topic Modeling (6 papers), Machine Learning in Healthcare (3 papers) and Artificial Intelligence in Healthcare (2 papers). Sirui Ding collaborates with scholars based in China, United States and Hong Kong. Sirui Ding's co-authors include Xia Hu, Fan Yang, Zijian Zhang, Zifan Wang, Mengnan Du, Haofan Wang, Piotr Mardziel, Jianhui Zhao, Zhiyong Yuan and Genevieve B. Melton and has published in prestigious journals such as Scientific Reports, IEEE Access and arXiv (Cornell University).

In The Last Decade

Sirui Ding

10 papers receiving 813 citations

Hit Papers

Score-CAM: Score-Weighted Visual Explanations for Convolu... 2020 2026 2022 2024 2020 2025 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sirui Ding China 5 422 320 138 45 43 11 820
Zifan Wang United States 9 449 1.1× 331 1.0× 145 1.1× 46 1.0× 44 1.0× 18 912
Zijian Zhang China 6 442 1.0× 338 1.1× 138 1.0× 46 1.0× 27 0.6× 18 834
Piotr Mardziel United States 8 520 1.2× 322 1.0× 135 1.0× 44 1.0× 27 0.6× 12 906
Dhanesh Ramachandram Malaysia 13 397 0.9× 345 1.1× 145 1.1× 73 1.6× 48 1.1× 39 992
Claudio Michaelis Germany 4 605 1.4× 387 1.2× 122 0.9× 38 0.8× 122 2.8× 4 1.1k
Pablo Mesejo Spain 16 289 0.7× 274 0.9× 168 1.2× 85 1.9× 59 1.4× 39 943
Robert Geirhos Germany 5 623 1.5× 410 1.3× 125 0.9× 32 0.7× 151 3.5× 12 1.2k
Nidhal Bouaynaya United States 16 235 0.6× 282 0.9× 59 0.4× 108 2.4× 58 1.3× 102 839
Samir S. Yadav India 7 330 0.8× 212 0.7× 345 2.5× 101 2.2× 36 0.8× 11 822
Walid Barhoumi Tunisia 18 414 1.0× 460 1.4× 210 1.5× 75 1.7× 34 0.8× 99 965

Countries citing papers authored by Sirui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Sirui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirui Ding

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

All Works

11 of 11 papers shown
1.
Ding, Sirui, et al.. (2025). UniGLM: Training One Unified Language Model for Text-Attributed Graphs Embedding. 973–981. 3 indexed citations
3.
Zhang, Mian, Yi Fang, Sirui Ding, et al.. (2025). Large language models for disease diagnosis: a scoping review. PubMed. 1(1). 9–9. 19 indexed citations breakdown →
4.
Zhou, Shuang, Mingquan Lin, Sirui Ding, et al.. (2025). Explainable differential diagnosis with dual-inference large language models. PubMed. 2(1). 12–12. 6 indexed citations
5.
Ding, Sirui, et al.. (2024). Distilling the knowledge from large-language model for health event prediction. Scientific Reports. 14(1). 30675–30675. 6 indexed citations
6.
Zhou, Shuang, Mian Zhang, Yi Fang, et al.. (2024). Large Language Models for Disease Diagnosis: A Scoping Review. arXiv (Cornell University). 3 indexed citations
7.
Zhang, Shenghan, Ruixiang Tang, Sirui Ding, et al.. (2023). PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. 268–275. 2 indexed citations
8.
Chen, Yong, et al.. (2021). An Improved Agent-Based Model Using Discrete Event Simulation for Nonpharmaceutical Interventions. IEEE Access. 9. 143721–143733. 2 indexed citations
9.
Wang, Haofan, Zifan Wang, Mengnan Du, et al.. (2020). Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. 111–119. 759 indexed citations breakdown →
11.
Si, Weixin, et al.. (2019). A Novel EEG Sleep Staging Method for Wearable Devices Based on Amplitude-time Mapping. 124–129. 3 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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