Minghang Zheng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering
- Media Technology
- Topics
- Multimodal Machine Learning Applications (6 papers)Human Pose and Action Recognition (3 papers)Video Analysis and Summarization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- ChinaUnited KingdomHong Kong
In The Last Decade
Minghang Zheng
8 papers receiving 362 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 136
- Aerospace Engineering 31
- Industrial and Manufacturing Engineering 24
- Media Technology 17
Countries citing papers authored by Minghang Zheng
This map shows the geographic impact of Minghang Zheng'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 Minghang Zheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghang Zheng more than expected).
Fields of papers citing papers by Minghang Zheng
This network shows the impact of papers produced by Minghang Zheng. 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 Minghang Zheng. The network helps show where Minghang Zheng may publish in the future.
Co-authorship network of co-authors of Minghang Zheng
This figure shows the co-authorship network connecting the top 25 collaborators of Minghang Zheng. A scholar is included among the top collaborators of Minghang Zheng 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 Minghang Zheng. Minghang Zheng 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 | 10 | |
| 3 | 4 | |
| 4 | 67 | |
| 5 | 4 | |
| 6 | 59 | |
| 7 | Fast Convergence of DETR with Spatially Modulated Co-Attentionbreakdown → | 211 |
| 8 | 4 |
About Minghang Zheng
Minghang Zheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 8 papers that have together received 365 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Human Pose and Action Recognition (3 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Artificial Intelligence (136 citations) and Industrial and Manufacturing Engineering (24 citations). Minghang Zheng has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Peng Gao, Hongsheng Li, Xiaogang Wang, Jifeng Dai, Yang Liu, Qing-Chao Chen, Yanjie Huang, Yuxin Peng, Chang Li and Yang Liu. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 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.