Henggang Cui
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 1%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Co-authors
- Gregory R. GangerPhillip B. GibbonsEric P. XingNemanja DjuricTsung-Han LinJeff SchneiderFang‐Chieh ChouThi Nguyen
- Topics
- Autonomous Vehicle Technology and Safety (11 papers)Advanced Neural Network Applications (7 papers)Video Surveillance and Tracking Methods (6 papers)
- Journals
- arXiv (Cornell University)PubMed2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Henggang Cui
20 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 762
- Computer Vision and Pattern Recognition 695
- Automotive Engineering 554
- Computer Networks and Communications 327
- Information Systems 214
Countries citing papers authored by Henggang Cui
This map shows the geographic impact of Henggang Cui'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 Henggang Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henggang Cui more than expected).
Fields of papers citing papers by Henggang Cui
This network shows the impact of papers produced by Henggang Cui. 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 Henggang Cui. The network helps show where Henggang Cui may publish in the future.
Co-authorship network of co-authors of Henggang Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Henggang Cui. A scholar is included among the top collaborators of Henggang Cui 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 Henggang Cui. Henggang Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 134 | |
| 6 | 17 | |
| 7 | 57 | |
| 8 | Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories | 7 |
| 9 | Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networksbreakdown → | 414 |
| 10 | Short-term Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks | 20 |
| 11 | Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. | 26 |
| 12 | 53 | |
| 13 | 196 | |
| 14 | 93 | |
| 15 | 72 | |
| 16 | 5 | |
| 17 | 20 | |
| 18 | More Effective Distributed ML via a Stale Synchronous Parallel Parameter Serverbreakdown → | 350 |
| 19 | 9 | |
| 20 | 53 |
About Henggang Cui
Henggang Cui is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (11 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Automotive Engineering (554 citations), Computer Vision and Pattern Recognition (695 citations) and Artificial Intelligence (762 citations). Henggang Cui has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Gregory R. Ganger, Phillip B. Gibbons, Eric P. Xing, Nemanja Djuric, Tsung-Han Lin, Jeff Schneider, Fang‐Chieh Chou, Thi Nguyen, Vladan Radosavljević and Garth A. Gibson. Their work appears in journals such as arXiv (Cornell University), PubMed and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
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.