Haejun Lee
Impact in
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- Multimodal Machine Learning Applications
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 10
- Natural Language Processing Techniques 8
- Speech and dialogue systems 4
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- Multimodal Machine Learning Applications 4
- Co-authors
- Kyung Hoon HwangSeunghak YuSang-goo LeePeng QiChristopher D. ManningJaegul ChooJi Hyun KimJihie Kim
- Journals
- Pharmaceutics (2 papers)Journal of Digital Imaging (1 paper)Journal of Clinical Medicine (1 paper)Anticancer Research (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Haejun Lee
27 papers receiving 253 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 124
- Radiology, Nuclear Medicine and Imaging 47
- Information Systems 41
- Health Informatics 2
Countries citing papers authored by Haejun Lee
This map shows the geographic impact of Haejun 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 Haejun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haejun Lee more than expected).
Fields of papers citing papers by Haejun Lee
This network shows the impact of papers produced by Haejun 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 Haejun Lee. The network helps show where Haejun Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haejun Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 1 | |
| 10 | NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension | 2020 | 9 |
| 11 | Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. | 2020 | 6 |
| 12 | 2020 | 7 | |
| 13 | 2018 | 15 | |
| 14 | On-Device Neural Language Model Based Word Prediction | 2018 | 8 |
| 15 | 2018 | 7 | |
| 16 | 2016 | 9 | |
| 17 | 2015 | 5 | |
| 18 | 2013 | 15 | |
| 19 | Comparison of FDG PET/CT to bone scan for detection of bone metastases in breast cancer | 2013 | 0 |
| 20 | 2012 | 14 |
About Haejun Lee
Haejun Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Geriatrics and Gerontology and Oncology, having authored 30 papers that have together received 266 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Medical Imaging Techniques and Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Speech and dialogue systems (4 papers), Multimodal Machine Learning Applications (4 papers), Colorectal Cancer Screening and Detection (3 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Artificial Intelligence (124 citations), Radiology, Nuclear Medicine and Imaging (47 citations), Information Systems (41 citations) and Health Informatics (2 citations). Haejun Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Kyung Hoon Hwang, Seunghak Yu, Sang-goo Lee, Peng Qi, Christopher D. Manning, Jaegul Choo, Ji Hyun Kim, Jihie Kim, Young Hee Sung and Hyeong‐Geol Shin. Their work appears in journals such as Pharmaceutics, Journal of Digital Imaging, Journal of Clinical Medicine, Anticancer Research and Journal of Clinical Oncology.
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.