JoonHo Lee

974 total citations
13 papers, 126 citations indexed

About

JoonHo Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, JoonHo Lee has authored 13 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in JoonHo Lee's work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Cancer-related molecular mechanisms research (2 papers). JoonHo Lee is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Cancer-related molecular mechanisms research (2 papers). JoonHo Lee collaborates with scholars based in South Korea and United States. JoonHo Lee's co-authors include Gyemin Lee, Ai‐Young Lee, Byron Boots, Yoonseo Choi, Ki‐Hyun Kim, Jin Young Lee, Do Kyung Kim, Jae Heon Kim, Min Sagong and Kwon‐Ho Lee and has published in prestigious journals such as Gastroenterology, American Journal of Obstetrics and Gynecology and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

JoonHo Lee

11 papers receiving 122 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
JoonHo Lee 42 37 29 24 12 13 126
Zhaoyang Lyu 17 0.4× 117 3.2× 16 0.6× 6 0.3× 3 0.3× 7 175
Renkai Wu 64 1.5× 81 2.2× 6 0.2× 31 1.3× 4 0.3× 15 165
A. Mohanarathinam 31 0.7× 49 1.3× 2 0.1× 48 2.0× 12 1.0× 25 132
Md. Abu Bakr Siddique 24 0.6× 28 0.8× 14 0.6× 3 0.3× 13 114
William J. Bodziak 19 0.5× 74 2.0× 3 0.1× 9 0.4× 2 0.2× 15 242
Kenta Kawamoto 13 0.3× 104 2.8× 2 0.1× 12 0.5× 4 0.3× 15 198
FRANCIS H. WILLIAMS 6 0.1× 33 0.9× 23 0.8× 5 0.2× 5 125
Sahadev Poudel 101 2.4× 84 2.3× 3 0.1× 62 2.6× 10 235
Patrick Sauer 10 0.2× 145 3.9× 6 0.2× 12 0.5× 2 0.2× 10 161
Jan Ernst 35 0.8× 100 2.7× 15 0.6× 3 0.3× 6 138

Countries citing papers authored by JoonHo Lee

Since Specialization
Citations

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

Fields of papers citing papers by JoonHo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JoonHo Lee

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

All Works

13 of 13 papers shown
1.
Hanauer, S. B., Silvio Danese, Jean–Frédéric Colombel, et al.. (2025). TWO-YEAR RESULTS OF SUBCUTANEOUS INFLIXIMAB (CT-P13 SC) DOSE ESCALATION THERAPY - FROM LIBERTY-CD AND LIBERTY-UC. Gastroenterology. 168(3). S18–S19.
2.
Lee, JoonHo, et al.. (2024). V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation. 1766–1773. 21 indexed citations
3.
Lee, JoonHo, Soohwan Oh, Yoo‐Sook Joung, et al.. (2023). 5.10 ADHD Symptom Assessment Using Artificial Intelligence to Parse Virtual Reality Task Performance. Journal of the American Academy of Child & Adolescent Psychiatry. 62(10). S261–S262. 1 indexed citations
4.
Lee, JoonHo & Gyemin Lee. (2023). Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. Neural Networks. 161. 682–692. 30 indexed citations
5.
6.
Shaban, Amirreza, et al.. (2023). LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. 19727–19737. 5 indexed citations
7.
Lee, JoonHo & Gyemin Lee. (2022). Unsupervised domain adaptation based on the predictive uncertainty of models. Neurocomputing. 520. 183–193. 12 indexed citations
8.
Lee, JoonHo, Minyoung Lee, Jin Young Lee, et al.. (2021). Development of Decision Support Software for Deep Learning-Based Automated Retinal Disease Screening Using Relatively Limited Fundus Photograph Data. Electronics. 10(2). 163–163. 16 indexed citations
9.
Kim, Do Kyung, Soomin Lee, Yoonseo Choi, et al.. (2021). Diagnostic accuracy of Raman spectroscopy for prostate cancer: a systematic review and meta-analysis. Translational Andrology and Urology. 10(2). 574–583. 5 indexed citations
10.
Lee, JoonHo & Gyemin Lee. (2020). Model Uncertainty for Unsupervised Domain Adaptation. 1841–1845. 3 indexed citations
11.
Kim, Sun Min, JoonHo Lee, Kyung Joon Oh, et al.. (2014). 594: Neonatal survival and morbidity advantages of delayed interval delivery. American Journal of Obstetrics and Gynecology. 212(1). S296–S296. 2 indexed citations
12.
Lee, JoonHo, et al.. (2011). Greater Collagen Deposition with the Microneedle Therapy System Than with Intense Pulsed Light. Dermatologic Surgery. 37(3). 336–341. 29 indexed citations
13.
Kim, Kwanghyun, et al.. (2005). Retrieving English Words with a Spoken Work Transliteration. Journal of the Korean Society for Library and Information Science. 39(3). 93–103.

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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