Xingyu Zeng
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Automotive Engineering top 10%
- Media Technology top 5%
- Co-authors
- Xiaogang WangWanli OuyangHongsheng LiJunjie YanBuyu LiLu ShengTong XiaoZhe Wang
- Topics
- Advanced Neural Network Applications (12 papers)Video Surveillance and Tracking Methods (6 papers)Advanced Image and Video Retrieval Techniques (5 papers)
In The Last Decade
Xingyu Zeng
16 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 287
- Aerospace Engineering 247
- Automotive Engineering 117
- Media Technology 113
Countries citing papers authored by Xingyu Zeng
This map shows the geographic impact of Xingyu Zeng'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 Xingyu Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Zeng more than expected).
Fields of papers citing papers by Xingyu Zeng
This network shows the impact of papers produced by Xingyu Zeng. 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 Xingyu Zeng. The network helps show where Xingyu Zeng may publish in the future.
Co-authorship network of co-authors of Xingyu Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Zeng. A scholar is included among the top collaborators of Xingyu Zeng 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 Xingyu Zeng. Xingyu Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 16 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 60 | |
| 7 | GS3D: An Efficient 3D Object Detection Framework for Autonomous Drivingbreakdown → | 243 |
| 8 | 25 | |
| 9 | 52 | |
| 10 | T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videosbreakdown → | 357 |
| 11 | 95 | |
| 12 | 43 | |
| 13 | 132 | |
| 14 | 15 | |
| 15 | 49 | |
| 16 | 45 | |
| 17 | 85 | |
| 18 | 102 |
About Xingyu Zeng
Xingyu Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Video Surveillance and Tracking Methods (6 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (113 citations) and Aerospace Engineering (247 citations). Xingyu Zeng has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Xiaogang Wang, Wanli Ouyang, Hongsheng Li, Junjie Yan, Buyu Li, Lu Sheng, Tong Xiao, Zhe Wang, Ruohui Wang and Kai Kang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.
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.