Xiaolin Li

950 total citations
34 papers, 629 citations indexed

About

Xiaolin Li is a scholar working on Computer Networks and Communications, Cardiology and Cardiovascular Medicine and Information Systems. According to data from OpenAlex, Xiaolin Li has authored 34 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 12 papers in Cardiology and Cardiovascular Medicine and 11 papers in Information Systems. Recurrent topics in Xiaolin Li's work include Cloud Computing and Resource Management (7 papers), Distributed and Parallel Computing Systems (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Xiaolin Li is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Distributed and Parallel Computing Systems (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Xiaolin Li collaborates with scholars based in China, United States and Singapore. Xiaolin Li's co-authors include Tezcan Ozrazgat‐Baslanti, Azra Bihorac, Bharadwaj Veeravalli, Chi Chung Ko, Petar Momčilović, Daisy Zhe Wang, Parisa Rashidi, Haleh Hashemighouchani, Frederick A. Moore and Charles Hobson and has published in prestigious journals such as PLoS ONE, Annals of Surgery and Small.

In The Last Decade

Xiaolin Li

29 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Li China 11 238 176 139 135 91 34 629
Petar Momčilović United States 15 235 1.0× 200 1.1× 209 1.5× 150 1.1× 11 0.1× 49 1.0k
Yousun Ko South Korea 19 62 0.3× 259 1.5× 50 0.4× 33 0.2× 18 0.2× 103 1.2k
Anil Pandit United States 16 377 1.6× 203 1.2× 27 0.2× 78 0.6× 30 0.3× 41 914
Radwa Elshawi Saudi Arabia 12 137 0.6× 40 0.2× 47 0.3× 56 0.4× 81 0.9× 26 765
Shiming Yang United States 20 71 0.3× 183 1.0× 46 0.3× 9 0.1× 19 0.2× 64 877
Κωνσταντίνος Λαμπρόπουλος Greece 14 356 1.5× 161 0.9× 41 0.3× 11 0.1× 34 0.4× 79 771
Bo Jin China 18 116 0.5× 36 0.2× 39 0.3× 62 0.5× 66 0.7× 52 1.0k
Mostafa A. Salama Egypt 14 62 0.3× 120 0.7× 64 0.5× 6 0.0× 51 0.6× 53 1.2k
Fatemeh Rahimian Sweden 9 112 0.5× 24 0.1× 136 1.0× 39 0.3× 38 0.4× 20 577
Sandy Weininger United States 12 76 0.3× 189 1.1× 40 0.3× 9 0.1× 33 0.4× 38 509

Countries citing papers authored by Xiaolin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Li. A scholar is included among the top collaborators of Xiaolin Li 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 Xiaolin Li. Xiaolin Li 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, Xiaoyang, Xiangyan Li, Wenjun Yang, et al.. (2025). Machine learning-based interatomic potential for simulating irradiation damage mechanisms in ZrC. Journal of Material Science and Technology. 242. 75–91. 1 indexed citations
2.
Li, Xiaolin & Yunpeng Jin. (2024). Zolpidem-triggered atrial fibrillation in a patient with cardiomyopathy: a case report. BMC Cardiovascular Disorders. 24(1). 339–339.
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Li, Xiaolin, Wensheng Zheng, Jinlan Zhang, et al.. (2022). Bicyclol Alleviates Atherosclerosis by Manipulating Gut Microbiota (Small 9/2022). Small. 18(9). 1 indexed citations
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Meng, Na, et al.. (2020). The association between patient‐reported readiness for hospital discharge and outcomes in patients diagnosed with anxiety disorders: A prospective and observational study. Journal of Psychiatric and Mental Health Nursing. 27(4). 380–392. 24 indexed citations
9.
Adhikari, Lasith, Tezcan Ozrazgat‐Baslanti, Matthew M. Ruppert, et al.. (2019). Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics. PLoS ONE. 14(4). e0214904–e0214904. 58 indexed citations
10.
Brennan, Meghan, Tezcan Ozrazgat‐Baslanti, Feng Zheng, et al.. (2019). Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: A pilot usability study. Surgery. 165(5). 1035–1045. 79 indexed citations
11.
Bihorac, Azra, Tezcan Ozrazgat‐Baslanti, Ashkan Ebadi, et al.. (2018). MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery. Annals of Surgery. 269(4). 652–662. 215 indexed citations
12.
Chen, Deng, et al.. (2017). Efficient vulnerability detection based on an optimized rule-checking static analysis technique. Frontiers of Information Technology & Electronic Engineering. 18(3). 332–345. 11 indexed citations
13.
Zeng, Rui‐Xiang, Xiaolin Li, Minzhou Zhang, et al.. (2015). Preprocedural N-terminal pro-B-type natriuretic peptide as a useful marker for predicting periprocedural myocardial injury following percutaneous coronary intervention in diabetic patients without cardiac dysfunction. Scandinavian Journal of Clinical and Laboratory Investigation. 75(7). 568–577. 4 indexed citations
14.
Li, Xiaolin, Jian‐Jun Li, Yuan‐Lin Guo, et al.. (2014). Relationship of Glycated Hemoglobin Levels with Myocardial Injury following Elective Percutaneous Coronary Intervention in Patients with Type 2 Diabetes Mellitus. PLoS ONE. 9(7). e101719–e101719. 7 indexed citations
15.
Li, Xiaolin, Yuan‐Lin Guo, Cheng‐Gang Zhu, et al.. (2014). Glycosylated hemoglobin A1c as a marker predicting the severity of coronary artery disease and early outcome in patients with stable angina. Lipids in Health and Disease. 13(1). 89–89. 42 indexed citations
16.
Li, Xiaolin, Jian‐Jun Li, Yuan‐Lin Guo, et al.. (2014). The Ratio of High‐Density Lipoprotein Cholesterol to Apolipoprotein A‐I Predicts Myocardial Injury Following Elective Percutaneous Coronary Intervention. Clinical Cardiology. 37(9). 558–565. 8 indexed citations
17.
Li, Xiaolin, et al.. (2008). Autonomic Management of Hybrid Sensor Grid Systems and Applications. 1–6. 4 indexed citations
18.
Li, Xiaolin, Xinxin Liu, Peng Guan, & Hui Kang. (2007). Utility-Based Divisible Sensing Task Scheduling in Wireless Sensor Networks.. International Conference on Wireless Networks. 342–348. 1 indexed citations
19.
Li, Xiaolin. (2004). Access Control Based on Role in Information System. Microcomputer Development.
20.
Veeravalli, Bharadwaj, Xiaolin Li, & Chi Chung Ko. (2000). Design and analysis of load distribution strategies with start-up costs in scheduling divisible loads on distributed networks. Mathematical and Computer Modelling. 32(7-8). 901–932. 5 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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