Joon Lee

10.8k total citations · 1 hit paper
238 papers, 7.2k citations indexed

About

Joon Lee is a scholar working on Surgery, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Joon Lee has authored 238 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Surgery, 40 papers in Epidemiology and 31 papers in Artificial Intelligence. Recurrent topics in Joon Lee's work include Machine Learning in Healthcare (24 papers), Sepsis Diagnosis and Treatment (20 papers) and Hemodynamic Monitoring and Therapy (16 papers). Joon Lee is often cited by papers focused on Machine Learning in Healthcare (24 papers), Sepsis Diagnosis and Treatment (20 papers) and Hemodynamic Monitoring and Therapy (16 papers). Joon Lee collaborates with scholars based in United States, Canada and South Korea. Joon Lee's co-authors include Roger G. Mark, Fábio Madeira, Rodrigo López, Adrian R. Tivey, Matt Pearce, Nandana Madhusoodanan, Leo Anthony Celi, Ben Kim, James D. Kang and Joel A. Dubin and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Joon Lee

216 papers receiving 7.0k citations

Hit Papers

Search and sequence analysis tools services from EMBL-EBI... 2022 2026 2023 2024 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Lee United States 45 1.7k 1.4k 758 616 605 238 7.2k
Liang‐In Lin Taiwan 39 2.7k 1.6× 796 0.6× 619 0.8× 753 1.2× 487 0.8× 154 12.1k
Bin Zhang China 52 1.9k 1.1× 1.8k 1.2× 1.5k 1.9× 1.6k 2.7× 551 0.9× 673 11.8k
Yu‐Chuan Li Taiwan 44 1.7k 1.0× 812 0.6× 1.1k 1.4× 455 0.7× 472 0.8× 491 9.9k
Geert Verbeke Belgium 50 1.2k 0.7× 879 0.6× 824 1.1× 356 0.6× 329 0.5× 312 14.2k
Enrique F. Schisterman United States 66 1.6k 0.9× 1.5k 1.0× 1.7k 2.2× 1.2k 2.0× 1.4k 2.4× 414 21.5k
Seoyoung C. Kim United States 56 1.8k 1.0× 2.0k 1.4× 1.3k 1.7× 708 1.1× 837 1.4× 365 11.9k
Mohammad Alì Mansournia Iran 50 1.2k 0.7× 1.5k 1.0× 1.4k 1.9× 837 1.4× 891 1.5× 473 12.9k
Cheng‐Yu Chen Taiwan 49 1.9k 1.1× 1.4k 1.0× 1.3k 1.7× 1.1k 1.8× 799 1.3× 460 9.5k
Yuan Wei China 30 2.3k 1.4× 704 0.5× 1.4k 1.8× 1.5k 2.5× 448 0.7× 142 17.1k
Giuseppe Banfi Italy 56 2.0k 1.2× 2.6k 1.8× 961 1.3× 492 0.8× 995 1.6× 530 14.0k

Countries citing papers authored by Joon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Joon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Lee. A scholar is included among the top collaborators of Joon Lee 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 Joon Lee. Joon Lee 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.
Nur, Arip Syaripudin, Yong Je Kim, Joon Lee, & Chang-Wook Lee. (2023). Spatial Prediction of Wildfire Susceptibility Using Hybrid Machine Learning Models Based on Support Vector Regression in Sydney, Australia. Remote Sensing. 15(3). 760–760. 39 indexed citations
2.
Pauzé, Elise, Tim Ramsay, Vivian Welch, et al.. (2023). Examining gender differences in adolescent exposure to food and beverage marketing through go-along interviews. Appetite. 193. 107153–107153. 8 indexed citations
3.
Park, Gyeong‐Hun, Hyuck Hoon Kwon, Joon Seok, et al.. (2023). Efficacy of combined treatment with human adipose tissue stem cell‐derived exosome‐containing solution and microneedling for facial skin aging: A 12‐week prospective, randomized, split‐face study. Journal of Cosmetic Dermatology. 22(12). 3418–3426. 62 indexed citations
4.
Lee, Joon. (2021). Reviewer Acknowledgements for Sustainable Agriculture Research, Vol. 10, No. 3. Sustainable Agriculture Research. 10(3). 72–72. 10 indexed citations
5.
Doktorchik, Chelsea, Elliot A. Martin, Cathy A. Eastwood, et al.. (2021). Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review. JMIR Medical Informatics. 9(2). e23934–e23934. 14 indexed citations
6.
Abad, Zahra Shakeri Hossein, Gregory Butler, Wendy Thompson, & Joon Lee. (2021). Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research. JMIR Public Health and Surveillance. 8(2). e32355–e32355. 4 indexed citations
7.
Lee, Joon, et al.. (2021). Size Matters: Early Gastrostomy Tube Dislodgment in Children. Journal of Laparoendoscopic & Advanced Surgical Techniques. 31(12). 1372–1375. 2 indexed citations
8.
Lee, Joon, et al.. (2019). Stealth Aircraft Technology and Future Air Warfare. Journal of the Korea Institute of Military Science and Technology. 22(1). 81–92. 4 indexed citations
9.
Sharbaugh, Michael, Oscar C. Marroquin, Catalin Toma, et al.. (2019). Impact of Chronic Kidney Disease and Anemia on Outcomes After Percutaneous Coronary Revascularization. The American Journal of Cardiology. 124(6). 851–856. 13 indexed citations
10.
Fu, Cheng-Yang, Joon Lee, Mohit Bansal, & Alexander Berg. (2017). Video Highlight Prediction Using Audience Chat Reactions. 972–978. 20 indexed citations
11.
Lee, Joon, Mengling Feng, Roger G. Mark, et al.. (2016). Peripheral Edema, Central Venous Pressure, and Risk of AKI in Critical Illness. Clinical Journal of the American Society of Nephrology. 11(4). 602–608. 103 indexed citations
12.
Lee, Joon, Mengling Feng, Roger G. Mark, et al.. (2015). Increased incidence of diuretic use in critically ill obese patients. DSpace@MIT (Massachusetts Institute of Technology).
14.
Lee, Joon, Robert Nelson, Roger G. Mark, et al.. (2015). Association between fluid balance and survival in critically ill patients. PMC.
15.
Danziger, John, Jeffrey H. William, Daniel Scott, et al.. (2015). Proton-pump inhibitor use is associated with low serum magnesium concentrations. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
16.
Mueller, Jessica L., Lindsay Y. King, Tian Gao, et al.. (2014). Poster Session 1: Viral Hepatitis and Liver Transplant. Hepatology. 60. 532A–545A.
17.
Anderst, William, et al.. (2013). Motion Path of the Instant Center of Rotation in the Cervical Spine During In Vivo Dynamic Flexion-Extension. Spine. 38(10). E594–E601. 66 indexed citations
18.
Lee, Joon & Roger G. Mark. (2010). An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care. SHILAP Revista de lepidopterología. 57 indexed citations
19.
Shelton, Christian R., et al.. (2010). Continuous Time Bayesian Network Reasoning and Learning Engine. Journal of Machine Learning Research. 11(37). 1137–1140. 18 indexed citations
20.
Lee, Joon, et al.. (2007). An Eyetracking Study on the Measurement of Newspaper Advertising Exposure Effects : Comparison with Data Collected by Recognition Measurement. International Conference on Human-Computer Interaction. 136–144. 2 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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