Hangen He
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 2%
- Aerospace Engineering top 5%
- Control and Systems Engineering top 5%
- Sensory Systems top 2%
- Co-authors
- Xiangjing AnJian LiXin XuMartin D. LevineZhenping SunDaxue LiuDongpu CaoXiaohui Li
- Topics
- Autonomous Vehicle Technology and Safety (32 papers)Advanced Vision and Imaging (17 papers)Video Surveillance and Tracking Methods (14 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceSensorsMechanical Systems and Signal Processing
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Hangen He
65 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 951
- Automotive Engineering 463
- Aerospace Engineering 194
- Control and Systems Engineering 192
- Sensory Systems 151
Countries citing papers authored by Hangen He
This map shows the geographic impact of Hangen He'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 Hangen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangen He more than expected).
Fields of papers citing papers by Hangen He
This network shows the impact of papers produced by Hangen He. 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 Hangen He. The network helps show where Hangen He may publish in the future.
Co-authorship network of co-authors of Hangen He
This figure shows the co-authorship network connecting the top 25 collaborators of Hangen He. A scholar is included among the top collaborators of Hangen He 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 Hangen He. Hangen He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning | 13 |
| 2 | 224 | |
| 3 | 15 | |
| 4 | 25 | |
| 5 | 42 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 25 | |
| 9 | Visual Saliency Based on Scale-Space Analysis in the Frequency Domainbreakdown → | 431 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 46 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 3 |
About Hangen He
Hangen He is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Computational Mathematics, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (32 papers), Advanced Vision and Imaging (17 papers) and Video Surveillance and Tracking Methods (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (951 citations), Automotive Engineering (463 citations) and Sensory Systems (151 citations). Hangen He has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Xiangjing An, Jian Li, Xin Xu, Martin D. Levine, Zhenping Sun, Daxue Liu, Dongpu Cao, Xiaohui Li, Erke Shang and Tao Wu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Sensors and Mechanical Systems and Signal Processing.
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.