Wei Huang
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology top 5%
- Pulmonary and Respiratory Medicine top 2%
- Oncology top 5%
- Cancer Research top 5%
- Co-authors
- David F. JarrardXin LiSunitha B. ThakurLia BartellaWilliam D. RooneyLuminita A. TudoricaSally DrewElizabeth A. Morris
- Topics
- MRI in cancer diagnosis (51 papers)Advanced MRI Techniques and Applications (35 papers)Radiomics and Machine Learning in Medical Imaging (30 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaItaly
In The Last Decade
Wei Huang
173 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Radiology, Nuclear Medicine and Imaging 2.2k
- Molecular Biology 1.5k
- Pulmonary and Respiratory Medicine 1.2k
- Oncology 710
- Cancer Research 643
Countries citing papers authored by Wei Huang
This map shows the geographic impact of Wei 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 Wei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Huang more than expected).
Fields of papers citing papers by Wei Huang
This network shows the impact of papers produced by Wei 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 Wei Huang. The network helps show where Wei Huang may publish in the future.
Co-authorship network of co-authors of Wei Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Huang. A scholar is included among the top collaborators of Wei 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 Wei Huang. Wei 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 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 14 | |
| 9 | 39 | |
| 10 | 8 | |
| 11 | 32 | |
| 12 | 20 | |
| 13 | 49 | |
| 14 | 6 | |
| 15 | 74 | |
| 16 | 40 | |
| 17 | 15 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 0 |
About Wei Huang
Wei Huang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Urology, having authored 179 papers that have together received 5.5k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (51 papers), Advanced MRI Techniques and Applications (35 papers) and Radiomics and Machine Learning in Medical Imaging (30 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.2k citations), Cancer Research (643 citations) and Pulmonary and Respiratory Medicine (1.2k citations). Wei Huang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include David F. Jarrard, Xin Li, Sunitha B. Thakur, Lia Bartella, William D. Rooney, Luminita A. Tudorica, Sally Drew, Elizabeth A. Morris, Charles S. Springer and Bing Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.