Zheng Ge
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Media Technology top 10%
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Zeming LiOsamu YoshieSongtao LiuJian SunJinrong YangJianjian SunHan BaoJianfeng Wang
- Topics
- Advanced Neural Network Applications (3 papers)Video Surveillance and Tracking Methods (3 papers)Multimodal Machine Learning Applications (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- NeurocomputingProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Zheng Ge
5 papers receiving 490 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 113
- Aerospace Engineering 96
- Media Technology 55
- Industrial and Manufacturing Engineering 53
Countries citing papers authored by Zheng Ge
This map shows the geographic impact of Zheng Ge'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 Zheng Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng Ge more than expected).
Fields of papers citing papers by Zheng Ge
This network shows the impact of papers produced by Zheng Ge. 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 Zheng Ge. The network helps show where Zheng Ge may publish in the future.
Co-authorship network of co-authors of Zheng Ge
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Ge. A scholar is included among the top collaborators of Zheng Ge 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 Zheng Ge. Zheng Ge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereobreakdown → | 96 |
| 2 | 29 | |
| 3 | OTA: Optimal Transport Assignment for Object Detectionbreakdown → | 332 |
| 4 | 1 | |
| 5 | 38 |
About Zheng Ge
Zheng Ge is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 5 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (3 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Media Technology (55 citations) and Industrial and Manufacturing Engineering (53 citations). Zheng Ge has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Zeming Li, Osamu Yoshie, Songtao Liu, Jian Sun, Jinrong Yang, Jianjian Sun, Han Bao, Jianfeng Wang, Xin Huang and Sibei Yang. Their work appears in journals such as Neurocomputing and Proceedings of the AAAI Conference on Artificial 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.