Siru Liu

3.5k total citations · 3 hit papers
86 papers, 2.0k citations indexed

About

Siru Liu is a scholar working on Artificial Intelligence, Health Informatics and Health Information Management. According to data from OpenAlex, Siru Liu has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Health Informatics and 14 papers in Health Information Management. Recurrent topics in Siru Liu's work include Artificial Intelligence in Healthcare and Education (17 papers), Machine Learning in Healthcare (15 papers) and Electronic Health Records Systems (13 papers). Siru Liu is often cited by papers focused on Artificial Intelligence in Healthcare and Education (17 papers), Machine Learning in Healthcare (15 papers) and Electronic Health Records Systems (13 papers). Siru Liu collaborates with scholars based in China, United States and Singapore. Siru Liu's co-authors include Jialin Liu, Changyu Wang, Yuxuan Wu, Hao Yang, Guo Jiu-lin, Adam Wright, Allison B. McCoy, Aileen P. Wright, Scott D. Nelson and Dean F. Sittig and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Water Research.

In The Last Decade

Siru Liu

74 papers receiving 2.0k citations

Hit Papers

Ethical Considerations of Using ChatGPT in Health Care 2023 2026 2024 2025 2023 2023 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siru Liu China 21 768 568 364 191 176 86 2.0k
Blanca Gallego Australia 22 145 0.2× 500 0.9× 84 0.2× 353 1.8× 162 0.9× 65 2.4k
Matthew Sperrin United Kingdom 37 117 0.2× 468 0.8× 277 0.8× 324 1.7× 193 1.1× 161 4.4k
Sherri Rose United States 30 113 0.1× 274 0.5× 89 0.2× 733 3.8× 123 0.7× 92 3.4k
Casper J. P. Zhang Hong Kong 21 136 0.2× 143 0.3× 94 0.3× 154 0.8× 51 0.3× 55 1.7k
Merel van Diepen Netherlands 29 79 0.1× 179 0.3× 173 0.5× 140 0.7× 67 0.4× 98 2.7k
Shu-Fang Newman United States 12 148 0.2× 328 0.6× 149 0.4× 24 0.1× 133 0.8× 15 1.6k
Alberto Ruano‐Raviña Spain 33 109 0.1× 61 0.1× 992 2.7× 153 0.8× 17 0.1× 310 4.6k
Thomas M. Maddox United States 37 155 0.2× 141 0.2× 1.1k 3.0× 506 2.6× 159 0.9× 157 8.0k
David E. Liston United States 6 134 0.2× 322 0.6× 146 0.4× 15 0.1× 76 0.4× 9 1.3k
Mecit Can Emre Simsekler United Arab Emirates 21 119 0.2× 97 0.2× 46 0.1× 203 1.1× 83 0.5× 81 1.2k

Countries citing papers authored by Siru Liu

Since Specialization
Citations

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

Fields of papers citing papers by Siru Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siru Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Siru Liu. A scholar is included among the top collaborators of Siru Liu 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 Siru Liu. Siru Liu 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.
Liu, Siru, et al.. (2025). Anchoring hydrogen bonding receptors into MOFs for enhancing simultaneous recovery of C2H4 and C3H6. Separation and Purification Technology. 363. 132190–132190. 2 indexed citations
2.
Liu, Jialin, Changyu Wang, & Siru Liu. (2025). Recent Advances in the Diagnosis of Autoimmune Inner Ear Disease: A Scoping Review. medRxiv.
3.
Liu, Jialin, et al.. (2025). Prompt Engineering in Clinical Practice: Tutorial for Clinicians. Journal of Medical Internet Research. 27. e72644–e72644. 2 indexed citations
4.
Liu, Siru, et al.. (2025). Detecting emergencies in patient portal messages using large language models and knowledge graph-based retrieval-augmented generation. Journal of the American Medical Informatics Association. 32(6). 1032–1039. 3 indexed citations
5.
Liu, Siru, et al.. (2024). Structural Characteristics and Adsorption of Phosphorus by Pineapple Leaf Biochar at Different Pyrolysis Temperatures. Agronomy. 14(12). 2923–2923. 5 indexed citations
6.
Liu, Siru, Allison B. McCoy, Aileen P. Wright, et al.. (2024). Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support. Journal of the American Medical Informatics Association. 31(6). 1388–1396. 15 indexed citations
7.
Wu, Yuxuan, et al.. (2024). Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis. JMIR Medical Informatics. 12. e54811–e54811. 18 indexed citations
8.
Liu, Siru, Aileen P. Wright, Allison B. McCoy, et al.. (2024). Using large language model to guide patients to create efficient and comprehensive clinical care message. Journal of the American Medical Informatics Association. 31(8). 1665–1670. 16 indexed citations
9.
Liu, Siru, Allison B. McCoy, Josh F. Peterson, et al.. (2024). Leveraging explainable artificial intelligence to optimize clinical decision support. Journal of the American Medical Informatics Association. 31(4). 968–974. 15 indexed citations
10.
Li, Huanhuan, Changyu Wang, Yuxuan Wu, et al.. (2024). Assessing the Role of the Generative Pretrained Transformer (GPT) in Alzheimer’s Disease Management: Comparative Study of Neurologist- and Artificial Intelligence–Generated Responses. Journal of Medical Internet Research. 26. e51095–e51095. 5 indexed citations
11.
Liu, Siru, Allison B. McCoy, Aileen P. Wright, et al.. (2024). Leveraging large language models for generating responses to patient messages—a subjective analysis. Journal of the American Medical Informatics Association. 31(6). 1367–1379. 39 indexed citations
12.
Guo, Haixiao, Siru Liu, Yufen Wang, et al.. (2023). A novel free nitrous acid (FNA)-generation pathway via ferric salts hydrolysis to mitigate sulfide and methane production in sewer: Insights into the performance and microbial mechanisms. Journal of Hazardous Materials. 459. 132284–132284. 16 indexed citations
13.
Liu, Siru, Aileen P. Wright, Barron L. Patterson, et al.. (2023). Using AI-generated suggestions from ChatGPT to optimize clinical decision support. Journal of the American Medical Informatics Association. 30(7). 1237–1245. 233 indexed citations breakdown →
14.
Wang, Changyu, et al.. (2023). Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis. Journal of Medical Internet Research. 25. e46340–e46340. 1 indexed citations
15.
Liu, Jialin, Changyu Wang, & Siru Liu. (2023). Utility of ChatGPT in Clinical Practice. Journal of Medical Internet Research. 25. e48568–e48568. 280 indexed citations breakdown →
16.
Liu, Siru, et al.. (2023). Risk factors for mortality among lung cancer patients with covid-19 infection: A systematic review and meta-analysis. PLoS ONE. 18(9). e0291178–e0291178. 5 indexed citations
17.
Wang, Changyu, Siru Liu, Hao Yang, et al.. (2023). Ethical Considerations of Using ChatGPT in Health Care. Journal of Medical Internet Research. 25. e48009–e48009. 302 indexed citations breakdown →
18.
Yang, Hao, et al.. (2022). Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation. JMIR Medical Informatics. 10(6). e36958–e36958. 12 indexed citations
19.
Liu, Siru, et al.. (2022). Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis. Journal of Medical Internet Research. 24(9). e38697–e38697. 36 indexed citations
20.
Liu, Siru, Joseph J. Schlesinger, Allison B. McCoy, et al.. (2022). New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record. Journal of the American Medical Informatics Association. 30(1). 120–131. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026