Jaehong Aum
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Co-authors
- Jichai JeongJung Im KimJae‐Joon YimSunggyun ParkJong Hyuk LeeChang Min ParkEui Jin HwangKwang-Nam Jin
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Lung Cancer Diagnosis and Treatment (4 papers)Optical Coherence Tomography Applications (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Partner nations
- South KoreaFranceHong Kong
In The Last Decade
Jaehong Aum
9 papers receiving 583 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 441
- Pulmonary and Respiratory Medicine 193
- Biomedical Engineering 125
- Artificial Intelligence 113
- Health Informatics 90
Countries citing papers authored by Jaehong Aum
This map shows the geographic impact of Jaehong Aum'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 Jaehong Aum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaehong Aum more than expected).
Fields of papers citing papers by Jaehong Aum
This network shows the impact of papers produced by Jaehong Aum. 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 Jaehong Aum. The network helps show where Jaehong Aum may publish in the future.
Co-authorship network of co-authors of Jaehong Aum
This figure shows the co-authorship network connecting the top 25 collaborators of Jaehong Aum. A scholar is included among the top collaborators of Jaehong Aum 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 Jaehong Aum. Jaehong Aum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | Development and Validation of a Deep Learning–Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographsbreakdown → | 289 |
| 5 | 162 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 29 | |
| 9 | 88 | |
| 10 | 5 |
About Jaehong Aum
Jaehong Aum is a scholar working on Radiology, Nuclear Medicine and Imaging, Biophysics and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 598 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Optical Coherence Tomography Applications (3 papers). The work is most often cited by research in Health Informatics (90 citations), Radiology, Nuclear Medicine and Imaging (441 citations) and Pulmonary and Respiratory Medicine (193 citations). Jaehong Aum has collaborated with scholars based in South Korea, France and Hong Kong. Frequent co-authors include Jichai Jeong, Jung Im Kim, Jae‐Joon Yim, Sunggyun Park, Jong Hyuk Lee, Chang Min Park, Eui Jin Hwang, Kwang-Nam Jin, Jin Mo Goo and So Young Choi. Their work appears in journals such as Journal of Clinical Oncology, Clinical Infectious Diseases and Cancers.
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.