H. Y. Dai
- Nuclear and High Energy Physics top 2%
- Astronomy and Astrophysics top 5%
- Statistical and Nonlinear Physics top 10%
- Computer Vision and Pattern Recognition
- Media Technology
- Co-authors
- E. C. LohJ. W. ElbertJ. K. K. TangP. SommersD. J. BirdS. C. CorbatóC. G. LarsenM. H. Salamon
- Topics
- Dark Matter and Cosmic Phenomena (13 papers)Astrophysics and Cosmic Phenomena (12 papers)Particle Detector Development and Performance (3 papers)
- Journals
- The Astrophysical JournalRemote SensingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesChinaAustralia
In The Last Decade
H. Y. Dai
20 papers receiving 908 citations
Peers
Comparison fields: 5 of 42
- Nuclear and High Energy Physics 882
- Astronomy and Astrophysics 396
- Statistical and Nonlinear Physics 72
- Computer Vision and Pattern Recognition 46
- Media Technology 16
Countries citing papers authored by H. Y. Dai
This map shows the geographic impact of H. Y. Dai'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 H. Y. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Y. Dai more than expected).
Fields of papers citing papers by H. Y. Dai
This network shows the impact of papers produced by H. Y. Dai. 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 H. Y. Dai. The network helps show where H. Y. Dai may publish in the future.
Co-authorship network of co-authors of H. Y. Dai
This figure shows the co-authorship network connecting the top 25 collaborators of H. Y. Dai. A scholar is included among the top collaborators of H. Y. Dai 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 H. Y. Dai. H. Y. Dai 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 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | RESEARCH ON STRATEGIC PLANNING OF INTELLIGENT TRANSPORTATION SYSTEM | 1 |
| 8 | 26 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 304 | |
| 14 | 9 | |
| 15 | The Fly's Eye Extremely High Energy Cosmic Ray Spectrum | 1 |
| 16 | The Cosmic Ray Composition Above 0.1 EeV | 0 |
| 17 | 65 | |
| 18 | 99 | |
| 19 | 3 | |
| 20 | 25 |
About H. Y. Dai
H. Y. Dai is a scholar working on Nuclear and High Energy Physics, Computer Graphics and Computer-Aided Design and Ecological Modeling, having authored 25 papers that have together received 958 indexed citations. Recurring topics across this work include Dark Matter and Cosmic Phenomena (13 papers), Astrophysics and Cosmic Phenomena (12 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (882 citations), Astronomy and Astrophysics (396 citations) and Statistical and Nonlinear Physics (72 citations). H. Y. Dai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include E. C. Loh, J. W. Elbert, J. K. K. Tang, P. Sommers, D. J. Bird, S. C. Corbató, C. G. Larsen, M. H. Salamon, M. Huang and P. Sokolsky. Their work appears in journals such as The Astrophysical Journal, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.
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.