Hyunjoon Lee

851 total citations
29 papers, 379 citations indexed

About

Hyunjoon Lee is a scholar working on Computer Vision and Pattern Recognition, Clinical Psychology and Epidemiology. According to data from OpenAlex, Hyunjoon Lee has authored 29 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Clinical Psychology and 5 papers in Epidemiology. Recurrent topics in Hyunjoon Lee's work include Suicide and Self-Harm Studies (4 papers), Mental Health Treatment and Access (4 papers) and Advanced Vision and Imaging (4 papers). Hyunjoon Lee is often cited by papers focused on Suicide and Self-Harm Studies (4 papers), Mental Health Treatment and Access (4 papers) and Advanced Vision and Imaging (4 papers). Hyunjoon Lee collaborates with scholars based in United States, South Korea and Japan. Hyunjoon Lee's co-authors include Seungyong Lee, Henry Kang, Hojin Cho, Junho Jeon, Junho Kim, Eli Shechtman, Jue Wang, Jordan W. Smoller, Sunghyun Cho and Víctor M. Castro and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Hyunjoon Lee

22 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hyunjoon Lee United States	10	279	120	33	26	26	29	379
Susan Mitchell United States	11	573 2.1×	21 0.2×	13 0.4×	19 0.7×	22 0.8×	26	955
P. S. Rokita Poland	9	188 0.7×	60 0.5×	11 0.3×	20 0.8×	3 0.1×	35	279
Huining Zhao China	12	76 0.3×	11 0.1×	20 0.6×	10 0.4×	10 0.4×	50	407
Zhenchao Jin China	6	145 0.5×	27 0.2×	19 0.6×	18 0.7×	27 1.0×	12	244
Dandan Ma China	9	162 0.6×	275 2.3×	20 0.6×	4 0.2×	1 0.0×	26	405
Valiollah Salari United States	7	95 0.3×	5 0.0×	30 0.9×	25 1.0×	47 1.8×	12	313
Zhengsheng Wang China	10	98 0.4×	23 0.2×	65 2.0×	3 0.1×		32	275
Bart Goossens Belgium	10	62 0.2×	29 0.2×	5 0.2×	1 0.0×	48 1.8×	30	257
Peter J. Hampton Canada	9	53 0.2×	18 0.1×	11 0.3×	22 0.8×	2 0.1×	34	211

Countries citing papers authored by Hyunjoon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hyunjoon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyunjoon Lee

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

All Works

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20 of 20 papers shown

Sheu, Yi-han, et al.. (2025). Continuous time and dynamic suicide attempt risk prediction with neural ordinary differential equations. npj Digital Medicine. 8(1). 161–161. 2 indexed citations

Lee, Hyunjoon, et al.. (2025). Boost Your Human Image Generation Model via Direct Preference Optimization. 23551–23562.

Lee, Hyunjoon, Karmel W. Choi, Siwei Zhang, et al.. (2024). Integrating Electronic Health Records and Polygenic Risk to Identify Genetically Unrelated Comorbidities of Schizophrenia That May Be Modifiable. Biological Psychiatry Global Open Science. 4(3). 100297–100297. 1 indexed citations

Walsh, Colin G., Yirui Hu, Yi-han Sheu, et al.. (2024). Development and multi-site external validation of a generalizable risk prediction model for bipolar disorder. Translational Psychiatry. 14(1). 58–58. 4 indexed citations

Morley, Theodore, Hyunjoon Lee, Yu Zhou, et al.. (2024). Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models. Genetics in Medicine. 27(4). 101353–101353.

Singh, Kritika, Hyunjoon Lee, Julia Sealock, et al.. (2024). Genes associated with depression and coronary artery disease are enriched for cardiomyopathy and inflammatory phenotypes. Nature Mental Health. 2(5). 574–582. 2 indexed citations

Lee, Hyunjoon, Chris J. Kennedy, Cindy H. Liu, et al.. (2024). Patterns and correlates of mental healthcare utilization during the COVID-19 pandemic among individuals with pre-existing mental disorder. PLoS ONE. 19(6). e0303079–e0303079. 1 indexed citations

Bentley, Kate H., et al.. (2023). Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study. JMIR Formative Research. 8. e46364–e46364. 3 indexed citations

Swaminathan, Akshay, Karmel W. Choi, Hyunjoon Lee, et al.. (2023). Post-traumatic growth in PhD students during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 3(1). 100104–100104. 1 indexed citations

10.

Sheu, Yi-han, Jiehuan Sun, Hyunjoon Lee, et al.. (2023). An efficient landmark model for prediction of suicide attempts in multiple clinical settings. Psychiatry Research. 323. 115175–115175. 9 indexed citations

11.

Jo, Kyungmin, et al.. (2023). 3D-Aware Generative Model for Improved Side-View Image Synthesis. 22805–22815.

12.

Jennings, Mariela, Hyunjoon Lee, Daniel Rocha, et al.. (2022). Identifying High-Risk Comorbidities Associated with Opioid Use Patterns Using Electronic Health Record Prescription Data. PubMed. 8(1-2). 47–56. 9 indexed citations

13.

Bentley, Kate H., Kelly L. Zuromski, Rebecca G. Fortgang, et al.. (2022). Implementing Machine Learning Models for Suicide Risk Prediction in Clinical Practice: Focus Group Study With Hospital Providers. JMIR Formative Research. 6(3). e30946–e30946. 13 indexed citations

14.

Yedinak, Jesse L., Yu Li, Maxwell S. Krieger, et al.. (2021). Machine learning takes a village: Assessing neighbourhood-level vulnerability for an overdose and infectious disease outbreak. International Journal of Drug Policy. 96. 103395–103395. 16 indexed citations

15.

Lee, Hyunjoon, et al.. (2020). Psychological stress, smoking, and hazardous drinking behaviors in South Korea: findings from the Korea National Health and Nutrition Examination Survey. Journal of Substance Use. 26(1). 13–20. 3 indexed citations

16.

Lee, Hyunjoon, et al.. (2018). A Study on Key Issues and Improvement of District Boundary Surveying. 34(3). 221–234.

17.

Jeon, Junho, Hyunjoon Lee, Henry Kang, & Seungyong Lee. (2016). Scale‐aware Structure‐Preserving Texture Filtering. Computer Graphics Forum. 35(7). 77–86. 46 indexed citations

18.

Lee, Hyunjoon, et al.. (2014). Effect of Guibi-tang on Neuronal Apoptosis and Cognitive Impairment Induced by Beta Amyloid in Mice. Journal of Korean Medicine. 35(4). 10–23. 2 indexed citations

19.

Lee, Hyunjoon, Eli Shechtman, Jue Wang, & Seungyong Lee. (2013). Automatic Upright Adjustment of Photographs With Robust Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(5). 833–844. 25 indexed citations

20.

Lee, Hyunjoon, et al.. (2012). A Study on the Establishment of Boundary Monuments and Management of Records in Cadastral Resurvey Project. Journal of the Korea Academia-Industrial cooperation Society. 13(10). 4514–4522. 1 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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