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 Hwang (6 shared papers)Seunghak Yu (3 shared papers)Sang-goo Lee (1 shared paper)Christopher D. Manning (2 shared papers)Peng Qi (2 shared papers)Jaegul Choo (3 shared papers)Ji Hyun Kim (2 shared papers)Jihie Kim (2 shared papers)
- Journals
- Pharmaceutics (2 papers)Journal of Clinical Oncology (1 paper)Parkinsonism & Related Disorders (1 paper)Journal of Digital Imaging (1 paper)Anticancer Research (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Haejun Lee
28 papers receiving 259 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 86
- Artificial Intelligence 120
- Information Systems 41
- Radiology, Nuclear Medicine and Imaging 35
- Neurology 18
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 46 | |
| 2 | 2016 | 37 | |
| 3 | 2018 | 24 | |
| 4 | 2021 | 19 | |
| 5 | 2018 | 16 | |
| 6 | 2013 | 15 | |
| 7 | 2012 | 14 | |
| 8 | 2021 | 10 | |
| 9 | NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension | 2020 | 9 |
| 10 | 2016 | 9 | |
| 11 | On-Device Neural Language Model Based Word Prediction | 2018 | 8 |
| 12 | 2021 | 8 | |
| 13 | 2018 | 7 | |
| 14 | 2020 | 7 | |
| 15 | Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. | 2020 | 6 |
| 16 | 2022 | 6 | |
| 17 | 2015 | 6 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2017 | 4 |
About Haejun Lee
Haejun Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 31 papers that have together received 272 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (4 papers), Multimodal Machine Learning Applications (4 papers), Medical Imaging Techniques and Applications (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (86 citations), Artificial Intelligence (120 citations), Information Systems (41 citations), Radiology, Nuclear Medicine and Imaging (35 citations) and Neurology (18 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, Christopher D. Manning, Peng Qi, Jaegul Choo, Ji Hyun Kim, Jihie Kim, Young Hee Sung and Eung Yeop Kim. Their work appears in journals such as Pharmaceutics, Journal of Clinical Oncology, Parkinsonism & Related Disorders, Journal of Digital Imaging and Anticancer Research.
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.