Teng Zhu
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 10%
- Artificial Intelligence top 5%
- Oncology
- Co-authors
- Junliang XingQiang WangJin GaoWeiming HuStephen J. MaybankBaopeng ZhangDong‐Joong KangKun Wang
- Topics
- Breast Cancer Treatment Studies (26 papers)Video Surveillance and Tracking Methods (22 papers)Radiomics and Machine Learning in Medical Imaging (19 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityCancer Research
- Journals
- Journal of Clinical OncologyThe Science of The Total EnvironmentRemote Sensing of Environment
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Teng Zhu
108 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 772
- Radiology, Nuclear Medicine and Imaging 323
- Cancer Research 268
- Artificial Intelligence 233
- Oncology 214
Countries citing papers authored by Teng Zhu
This map shows the geographic impact of Teng Zhu'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 Teng Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng Zhu more than expected).
Fields of papers citing papers by Teng Zhu
This network shows the impact of papers produced by Teng Zhu. 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 Teng Zhu. The network helps show where Teng Zhu may publish in the future.
Co-authorship network of co-authors of Teng Zhu
This figure shows the co-authorship network connecting the top 25 collaborators of Teng Zhu. A scholar is included among the top collaborators of Teng Zhu 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 Teng Zhu. Teng Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 33 | |
| 13 | 19 | |
| 14 | Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective studybreakdown → | 94 |
| 15 | 13 | |
| 16 | 8 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 32 | |
| 20 | 5 |
About Teng Zhu
Teng Zhu is a scholar working on Computer Vision and Pattern Recognition, Cancer Research and Oncology, having authored 122 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (26 papers), Video Surveillance and Tracking Methods (22 papers) and Radiomics and Machine Learning in Medical Imaging (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (772 citations), Safety, Risk, Reliability and Quality (182 citations) and Cancer Research (268 citations). Teng Zhu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Junliang Xing, Qiang Wang, Jin Gao, Weiming Hu, Stephen J. Maybank, Baopeng Zhang, Dong‐Joong Kang, Kun Wang, Ciqiu Yang and Jianping Fan. Their work appears in journals such as Journal of Clinical Oncology, The Science of The Total Environment and Remote Sensing of Environment.
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.