H. K. Huang
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- Advanced Data Compression Techniques 21
- Medical Image Segmentation Techniques 11
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- Medical Imaging Techniques and Applications 44
- Radiology practices and education 34
- Oral Surgery top 2%
- Health Informatics top 5%
- Archeology top 1%
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- Digital Radiography and Breast Imaging 79
- Lung Cancer Diagnosis and Treatment 13
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- AI in cancer detection 22
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- Advanced X-ray and CT Imaging 20
- Co-authors
- Ewa PiętkaRicky K. TairaFei CaoStephen T.C. WongKeh‐Shih ChuangDavid S. GoodenVicente GilsanzS.-C.B. Lo
- Partner nations
- United StatesPolandChina
In The Last Decade
H. K. Huang
149 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 766
- Radiology, Nuclear Medicine and Imaging 711
- Oral Surgery 195
- Health Informatics 32
- Archeology 235
Countries citing papers authored by H. K. Huang
This map shows the geographic impact of H. K. Huang'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 H. K. Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. K. Huang more than expected).
Fields of papers citing papers by H. K. Huang
This network shows the impact of papers produced by H. K. Huang. 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 H. K. Huang. The network helps show where H. K. Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. K. Huang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2000 | 52 | |
| 5 | 1997 | 13 | |
| 6 | 1996 | 22 | |
| 7 | 1996 | 1 | |
| 8 | 1993 | 21 | |
| 9 | 1993 | 57 | |
| 10 | 1993 | 5 | |
| 11 | 1992 | 15 | |
| 12 | 1992 | 18 | |
| 13 | 1992 | 6 | |
| 14 | 1992 | 43 | |
| 15 | 1992 | 6 | |
| 16 | 1991 | 61 | |
| 17 | A dedicated digital projectional radiographic system | 1989 | 2 |
| 18 | 1989 | 10 | |
| 19 | 1989 | 2 | |
| 20 | Recent developments in medical digital radiography | 1983 | 1 |
About H. K. Huang
H. K. Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 159 papers that have together received 2.0k indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (79 papers), Medical Imaging Techniques and Applications (44 papers), Radiology practices and education (34 papers), AI in cancer detection (22 papers), Advanced Data Compression Techniques (21 papers), Advanced X-ray and CT Imaging (20 papers), Lung Cancer Diagnosis and Treatment (13 papers) and Medical Image Segmentation Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (766 citations), Radiology, Nuclear Medicine and Imaging (711 citations) and Oral Surgery (195 citations). H. K. Huang has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Ewa Piętka, Ricky K. Taira, Fei Cao, Stephen T.C. Wong, Keh‐Shih Chuang, David S. Gooden, Vicente Gilsanz, S.-C.B. Lo, Brent K. Stewart and Min‐Liang Kuo. Their work appears in journals such as Physics Today, Proceedings of the IEEE and Radiology.
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.