Zhimin Huo
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Co-authors
- Maryellen L. GigerCarl J. VybornyDulcy WolvertonCharles E. MetzPing LüBarbara WeberOlufunmilayo I. OlopadeKunio Doi
- Topics
- AI in cancer detection (25 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)Global Cancer Incidence and Screening (6 papers)
- Cited by
- Artificial IntelligenceRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Zhimin Huo
29 papers receiving 895 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 772
- Radiology, Nuclear Medicine and Imaging 558
- Pulmonary and Respiratory Medicine 268
- Computer Vision and Pattern Recognition 246
- Oncology 187
Countries citing papers authored by Zhimin Huo
This map shows the geographic impact of Zhimin Huo'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 Zhimin Huo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhimin Huo more than expected).
Fields of papers citing papers by Zhimin Huo
This network shows the impact of papers produced by Zhimin Huo. 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 Zhimin Huo. The network helps show where Zhimin Huo may publish in the future.
Co-authorship network of co-authors of Zhimin Huo
This figure shows the co-authorship network connecting the top 25 collaborators of Zhimin Huo. A scholar is included among the top collaborators of Zhimin Huo 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 Zhimin Huo. Zhimin Huo 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 | 14 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 85 | |
| 8 | 1 | |
| 9 | 100 | |
| 10 | 96 | |
| 11 | 30 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 70 | |
| 15 | 52 | |
| 16 | 10 | |
| 17 | 58 | |
| 18 | 17 | |
| 19 | 126 | |
| 20 | 131 |
About Zhimin Huo
Zhimin Huo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 29 papers that have together received 940 indexed citations. Recurring topics across this work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Artificial Intelligence (772 citations), Radiology, Nuclear Medicine and Imaging (558 citations) and Computer Vision and Pattern Recognition (246 citations). Zhimin Huo has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Maryellen L. Giger, Carl J. Vyborny, Dulcy Wolverton, Charles E. Metz, Ping Lü, Barbara Weber, Olufunmilayo I. Olopade, Kunio Doi, Ulrich Bick and Lan Li. Their work appears in journals such as Radiology, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.
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.