Helen Hong
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering top 10%
- Surgery
- Molecular Biology
- Co-authors
- Jan P. StegemannRobert M. NeremJunmo KimDae Chul JungJin Mo GooChristopher B. StanleyHelmut H. StreyW. O. Winer
- Topics
- Radiomics and Machine Learning in Medical Imaging (35 papers)Medical Image Segmentation Techniques (22 papers)Lung Cancer Diagnosis and Treatment (20 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Helen Hong
84 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Radiology, Nuclear Medicine and Imaging 423
- Pulmonary and Respiratory Medicine 357
- Biomedical Engineering 278
- Surgery 189
- Molecular Biology 141
Countries citing papers authored by Helen Hong
This map shows the geographic impact of Helen Hong'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 Helen Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Hong more than expected).
Fields of papers citing papers by Helen Hong
This network shows the impact of papers produced by Helen Hong. 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 Helen Hong. The network helps show where Helen Hong may publish in the future.
Co-authorship network of co-authors of Helen Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Hong. A scholar is included among the top collaborators of Helen Hong 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 Helen Hong. Helen Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | Increasing Engine Efficiency with Friction Reducing-Oil Additives | 1 |
| 8 | 7 | |
| 9 | 36 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 16 | |
| 15 | 31 | |
| 16 | Automatic Segmentation of Pulmonary Structures using Gray-level Information of Chest CT Images | 0 |
| 17 | 232 | |
| 18 | 41 | |
| 19 | 4 | |
| 20 | 2 |
About Helen Hong
Helen Hong is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (35 papers), Medical Image Segmentation Techniques (22 papers) and Lung Cancer Diagnosis and Treatment (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (423 citations), Pulmonary and Respiratory Medicine (357 citations) and Biomaterials (134 citations). Helen Hong has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Jan P. Stegemann, Robert M. Nerem, Junmo Kim, Dae Chul Jung, Jin Mo Goo, Christopher B. Stanley, Helmut H. Strey, W. O. Winer, R. F. Hochman and Hansang Lee. Their work appears in journals such as Biomaterials, Scientific Reports and Journal of Applied Physiology.
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.