Quefeng Li

1.8k total citations
79 papers, 1.1k citations indexed

About

Quefeng Li is a scholar working on Statistics and Probability, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Quefeng Li has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 18 papers in Cardiology and Cardiovascular Medicine and 14 papers in Surgery. Recurrent topics in Quefeng Li's work include Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (12 papers) and Gene expression and cancer classification (7 papers). Quefeng Li is often cited by papers focused on Statistical Methods and Inference (23 papers), Statistical Methods and Bayesian Inference (12 papers) and Gene expression and cancer classification (7 papers). Quefeng Li collaborates with scholars based in United States, China and South Africa. Quefeng Li's co-authors include Jianqing Fan, Yuyan Wang, Jun Shao, Michael D. Kulis, Edwin Kim, Rishu Guo, A. Wesley Burks, Sijian Wang, Ping Ye and Menggang Yu and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Quefeng Li

70 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Quefeng Li United States 19 245 200 131 114 109 79 1.1k
Didier Renard Belgium 21 633 2.6× 58 0.3× 168 1.3× 68 0.6× 73 0.7× 42 1.7k
Christopher R. Palmer United Kingdom 20 48 0.2× 51 0.3× 48 0.4× 143 1.3× 111 1.0× 28 1.6k
Manfred Hauben United States 26 297 1.2× 15 0.1× 44 0.3× 123 1.1× 192 1.8× 77 2.4k
Vivian Viallon France 18 64 0.3× 18 0.1× 95 0.7× 36 0.3× 232 2.1× 54 1.1k
Keith Marsolo United States 20 61 0.2× 15 0.1× 55 0.4× 67 0.6× 236 2.2× 63 1.5k
Alex Dmitrienko United States 27 1.3k 5.4× 14 0.1× 70 0.5× 234 2.1× 304 2.8× 75 2.3k
Franz Koenig Austria 24 946 3.9× 20 0.1× 76 0.6× 26 0.2× 144 1.3× 71 2.0k
Amr Makady Netherlands 12 232 0.9× 8 0.0× 69 0.5× 47 0.4× 50 0.5× 27 1.2k
Foster Goss United States 19 13 0.1× 200 1.0× 152 1.2× 18 0.2× 104 1.0× 47 1.1k
Gregory W. Daniel United States 20 138 0.6× 8 0.0× 51 0.4× 213 1.9× 121 1.1× 46 1.5k

Countries citing papers authored by Quefeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Quefeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quefeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Quefeng Li. A scholar is included among the top collaborators of Quefeng 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 Quefeng Li. Quefeng 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.
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Zhou, Jiawei, et al.. (2025). Revolutionizing Patient-Reported Outcomes Analysis for Oncology Drug Development Using Population Models. Clinical Cancer Research. 31(9). 1580–1586. 2 indexed citations
3.
Merlo, Aurélie, et al.. (2024). Use of mechanical circulatory support and survival for heart and heart-kidney transplant recipients in the new allocation system. SHILAP Revista de lepidopterología. 4. 100071–100071. 2 indexed citations
4.
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Kim, Edwin, Corinne Keet, Yamini V. Virkud, et al.. (2023). Open-label study of the efficacy, safety, and durability of peanut sublingual immunotherapy in peanut-allergic children. Journal of Allergy and Clinical Immunology. 151(6). 1558–1565.e6. 37 indexed citations
6.
Bhatia, M S, et al.. (2023). Should All Patients With Pulmonary Hypertension Undergoing Non-Cardiac Surgery Be Managed by Cardiothoracic Fellowship-Trained Anesthesiologists?. Seminars in Cardiothoracic and Vascular Anesthesia. 27(4). 305–312.
7.
Arora, Harendra, et al.. (2022). Hypothermia and Prolonged Time From Procedure End to Extubation After Endovascular Thoracic Aortic Surgery. Journal of Cardiothoracic and Vascular Anesthesia. 36(12). 4320–4326. 2 indexed citations
8.
Li, Quefeng, et al.. (2022). Multi-response Regression for Block-missing Multi-modal Data without Imputation. Statistica Sinica. 34(2). 527–546.
9.
Ricardo, Ana C., Kathryn J. Reid, James P. Lash, et al.. (2022). Sleep, cardiovascular risk factors, and kidney function: The Multi-Ethnic Study of Atherosclerosis (MESA). Sleep Health. 8(6). 648–653. 6 indexed citations
10.
Zhou, Jiawei, Quefeng Li, & Yanguang Cao. (2021). Spatiotemporal Heterogeneity across Metastases and Organ-Specific Response Informs Drug Efficacy and Patient Survival in Colorectal Cancer. Cancer Research. 81(9). 2522–2533. 17 indexed citations
11.
Wang, Peiyao, Quefeng Li, Dinggang Shen, & Yufeng Liu. (2021). High-Dimensional Factor Regression for Heterogeneous Subpopulations. Statistica Sinica. 33(1). 27–53. 1 indexed citations
12.
Zhang, Jiandong, Fernando C. Ortíz, Xiaohua Gao, et al.. (2021). ALPHA-BLOCKER USE AND CLINICAL OUTCOMES FOLLOWING PERCUTANEOUS CORONARY INTERVENTION. Journal of the American College of Cardiology. 77(18). 135–135. 1 indexed citations
13.
14.
Lin, Feng‐Chang, Quefeng Li, & Jessica T. Lin. (2020). Relapse or reinfection: Classification of malaria infection using transition likelihoods. Biometrics. 76(4). 1351–1363. 7 indexed citations
15.
Fardelmann, Kristen L., et al.. (2020). Nitrous oxide analgesia for external cephalic version: A randomized controlled trial. Journal of Clinical Anesthesia. 68. 110073–110073. 4 indexed citations
16.
Beckman, Joan D., et al.. (2020). Integration of clinical parameters, genotype and epistaxis severity score to guide treatment for hereditary hemorrhagic telangiectasia associated bleeding. Orphanet Journal of Rare Diseases. 15(1). 185–185. 10 indexed citations
17.
Zhou, Jiawei, Yutong Liu, Yubo Zhang, Quefeng Li, & Yanguang Cao. (2019). Modeling Tumor Evolutionary Dynamics to Predict Clinical Outcomes for Patients with Metastatic Colorectal Cancer: A Retrospective Analysis. Cancer Research. 80(3). 591–601. 18 indexed citations
18.
Jones, Sydney, Quefeng Li, Allison E. Aiello, Angela M. O’Rand, & Kelly R. Evenson. (2018). Physical Activity, Sedentary Behavior, and Retirement: The Multi-Ethnic Study of Atherosclerosis. American Journal of Preventive Medicine. 54(6). 786–794. 27 indexed citations
19.
Li, Quefeng, Menggang Yu, & Sijian Wang. (2017). A statistical framework for pathway and gene identification from integrative analysis. Journal of Multivariate Analysis. 156. 1–17. 1 indexed citations
20.
Halladay, Jacqueline R., Katrina E Donahue, Crystal W. Cené, et al.. (2016). The association of health literacy and blood pressure reduction in a cohort of patients with hypertension: The heart healthy lenoir trial. Patient Education and Counseling. 100(3). 542–549. 49 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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