Hao Peng
- Radiation top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Pulmonary and Respiratory Medicine top 10%
- Biomedical Engineering
- Co-authors
- Craig S. LevinM. Jamal DeenCheng ZengXin YangPeter D. OlcottNoah A. SmithLei XingMing–Ting Sun
- Topics
- Radiation Detection and Scintillator Technologies (29 papers)Medical Imaging Techniques and Applications (28 papers)Radiation Therapy and Dosimetry (21 papers)
- Journals
- Cancer ResearchScientific ReportsInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hao Peng
78 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Radiation 471
- Radiology, Nuclear Medicine and Imaging 456
- Artificial Intelligence 269
- Pulmonary and Respiratory Medicine 254
- Biomedical Engineering 214
Countries citing papers authored by Hao Peng
This map shows the geographic impact of Hao Peng'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 Hao Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Peng more than expected).
Fields of papers citing papers by Hao Peng
This network shows the impact of papers produced by Hao Peng. 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 Hao Peng. The network helps show where Hao Peng may publish in the future.
Co-authorship network of co-authors of Hao Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Peng. A scholar is included among the top collaborators of Hao Peng 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 Hao Peng. Hao Peng 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 107 | |
| 10 | 0 | |
| 11 | 40 | |
| 12 | 2 | |
| 13 | 57 | |
| 14 | Tree-based Convolution: A New Neural Architecture for Sentence Modeling. | 5 |
| 15 | 6 | |
| 16 | Review of Learning Model and Experiment Based on Learning Theory | 1 |
| 17 | 13 | |
| 18 | 73 | |
| 19 | 46 | |
| 20 | 33 |
About Hao Peng
Hao Peng is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiation Detection and Scintillator Technologies (29 papers), Medical Imaging Techniques and Applications (28 papers) and Radiation Therapy and Dosimetry (21 papers). The work is most often cited by research in Radiation (471 citations), Radiology, Nuclear Medicine and Imaging (456 citations) and Instrumentation (62 citations). Hao Peng has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Craig S. Levin, M. Jamal Deen, Cheng Zeng, Xin Yang, Peter D. Olcott, Noah A. Smith, Lei Xing, Ming–Ting Sun, Yizhe Zhang and Bill Dolan. Their work appears in journals such as Cancer Research, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.
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.