H. K. Huang
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering top 10%
- Co-authors
- Ewa PiętkaRicky K. TairaFei CaoStephen T.C. WongKeh‐Shih ChuangDavid S. GoodenVicente GilsanzS.-C.B. Lo
- Topics
- Digital Radiography and Breast Imaging (79 papers)Medical Imaging Techniques and Applications (44 papers)Radiology practices and education (34 papers)
- 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
- Pulmonary and Respiratory Medicine 530
- Artificial Intelligence 430
- Biomedical Engineering 403
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 of co-authors of H. K. Huang
This figure shows the co-authorship network connecting the top 25 collaborators of H. K. Huang. A scholar is included among the top collaborators of H. K. Huang 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 H. K. Huang. H. K. Huang 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 | 1 | |
| 4 | 52 | |
| 5 | 13 | |
| 6 | 22 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 57 | |
| 10 | 5 | |
| 11 | 15 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 43 | |
| 15 | 6 | |
| 16 | 61 | |
| 17 | A dedicated digital projectional radiographic system | 2 |
| 18 | 10 | |
| 19 | 2 | |
| 20 | Recent developments in medical digital radiography | 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) and Radiology practices and education (34 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.