Minghang He
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
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- Handwritten Text Recognition Techniques 5
- Image Processing and 3D Reconstruction 2
- Advanced Image and Video Retrieval Techniques 1
- Advanced Neural Network Applications 1
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- Vehicle License Plate Recognition 2
- Co-authors
- Xiang Bai (5 shared papers)Cong Yao (4 shared papers)Minghui Liao (3 shared papers)Wenhao Wu (1 shared paper)Pengyuan Lyu (1 shared paper)Hao Chen (1 shared paper)Zhaoyi Wan (1 shared paper)Wenqing Cheng (1 shared paper)
- Journals
- Science China Information Sciences (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Minghang He
5 papers receiving 309 citations
Peers
Comparison fields: 5 of 23
- Computer Vision and Pattern Recognition 311
- Media Technology 129
- Artificial Intelligence 75
- Signal Processing 11
- Human-Computer Interaction 4
Countries citing papers authored by Minghang He
This map shows the geographic impact of Minghang 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 Minghang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghang He more than expected).
Fields of papers citing papers by Minghang He
This network shows the impact of papers produced by Minghang 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 Minghang He. The network helps show where Minghang He may publish in the future.
Co-authors
The 14 scholars most cited alongside Minghang He, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 2020 | 78 | |
| 3 | 2021 | 64 | |
| 4 | 2020 | 24 | |
| 5 | 2024 | 1 |
About Minghang He
Minghang He is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 5 papers that have together received 321 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Vehicle License Plate Recognition (2 papers), Image Processing and 3D Reconstruction (2 papers), Computer Graphics and Visualization Techniques (1 paper), Natural Language Processing Techniques (1 paper), Hand Gesture Recognition Systems (1 paper), Advanced Image and Video Retrieval Techniques (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (311 citations), Media Technology (129 citations), Artificial Intelligence (75 citations), Signal Processing (11 citations) and Human-Computer Interaction (4 citations). Minghang He has collaborated with scholars based in China, India and United States. Frequent co-authors include Xiang Bai, Cong Yao, Minghui Liao, Wenhao Wu, Pengyuan Lyu, Hao Chen, Zhaoyi Wan, Wenqing Cheng, Zhibo Yang and Jun Tang. Their work appears in journals such as Science China Information Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.