Haotian Tang
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Radiation top 5%
- Nuclear and High Energy Physics top 10%
- Co-authors
- Song HanZhijian LiuHuizi MaoAlexander AminiXinyu YangDaniela RusKenneth P. RodbellMichael S. Gordon
- Topics
- Semiconductor materials and devices (12 papers)Radiation Effects in Electronics (11 papers)Advancements in Semiconductor Devices and Circuit Design (11 papers)
- Journals
- Physical review. B, Condensed matterJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Haotian Tang
47 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Electrical and Electronic Engineering 546
- Computer Vision and Pattern Recognition 527
- Aerospace Engineering 308
- Radiation 193
- Nuclear and High Energy Physics 189
Countries citing papers authored by Haotian Tang
This map shows the geographic impact of Haotian Tang'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 Haotian Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haotian Tang more than expected).
Fields of papers citing papers by Haotian Tang
This network shows the impact of papers produced by Haotian Tang. 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 Haotian Tang. The network helps show where Haotian Tang may publish in the future.
Co-authorship network of co-authors of Haotian Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Haotian Tang. A scholar is included among the top collaborators of Haotian Tang 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 Haotian Tang. Haotian Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | Point-Voxel CNN for Efficient 3D Deep Learning | 27 |
| 17 | 11 | |
| 18 | 22 | |
| 19 | 11 | |
| 20 | 73 |
About Haotian Tang
Haotian Tang is a scholar working on Health Informatics, Modeling and Simulation and Nuclear and High Energy Physics, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Radiation Effects in Electronics (11 papers) and Advancements in Semiconductor Devices and Circuit Design (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (527 citations), Radiation (193 citations) and Hardware and Architecture (143 citations). Haotian Tang has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Song Han, Zhijian Liu, Huizi Mao, Alexander Amini, Xinyu Yang, Daniela Rus, Kenneth P. Rodbell, Michael S. Gordon, Paul Bailey and J. M. Clem. Their work appears in journals such as Physical review. B, Condensed matter, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.