Huanmei Wu
- Radiation top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 10%
- Molecular Biology
- Topics
- Advanced Radiotherapy Techniques (22 papers)Radiation Therapy and Dosimetry (13 papers)Medical Imaging Techniques and Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodBioinformatics
- Partner nations
- United StatesChinaJapan
In The Last Decade
Huanmei Wu
96 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Radiation 320
- Radiology, Nuclear Medicine and Imaging 294
- Pulmonary and Respiratory Medicine 281
- Artificial Intelligence 154
- Molecular Biology 144
Countries citing papers authored by Huanmei Wu
This map shows the geographic impact of Huanmei Wu'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 Huanmei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huanmei Wu more than expected).
Fields of papers citing papers by Huanmei Wu
This network shows the impact of papers produced by Huanmei Wu. 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 Huanmei Wu. The network helps show where Huanmei Wu may publish in the future.
Co-authorship network of co-authors of Huanmei Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Huanmei Wu. A scholar is included among the top collaborators of Huanmei Wu 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 Huanmei Wu. Huanmei Wu 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 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | Digital twins for health: a scoping reviewbreakdown → | 220 |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems | 1 |
| 14 | 1 | |
| 15 | 3 | |
| 16 | IDO Immune Status after Chemoradiation May Predict Survival in Lung Cancer Patients | 1 |
| 17 | 54 | |
| 18 | 8 | |
| 19 | Healthcare Data Analytics for Parkinson's Disease Patients: A Study of Hospital Cost and Utilization in the United States. | 3 |
| 20 | 2 |
About Huanmei Wu
Huanmei Wu is a scholar working on Radiation, Health Information Management and Health Informatics, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (22 papers), Radiation Therapy and Dosimetry (13 papers) and Medical Imaging Techniques and Applications (10 papers). The work is most often cited by research in Health Informatics (53 citations), Radiation (320 citations) and Biological Psychiatry (37 citations). Huanmei Wu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Betty Salzberg, Hiroki Shirato, Steve Jiang, Donghui Zhang, G Sharp, David Kaeli, Qi Wang, Jun Deng, Xiaoyuan Zhang and Luke E. K. Achenie. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.
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.