Hang Dai
Impact in
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Advanced Neural Network Applications 8
- Face recognition and analysis 8
- Image and Video Quality Assessment 5
- Visual Attention and Saliency Detection 5
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- Structural Load-Bearing Analysis 7
- Co-authors
- Yong Ding (13 shared papers)Ling Shao (8 shared papers)Nick Pears (10 shared papers)William A. P. Smith (8 shared papers)Christian A. Duncan (6 shared papers)Jiale Li (5 shared papers)Shuo Wang (2 shared papers)Sohail Ahmed Khan (1 shared paper)
- Journals
- IEEE Access (3 papers)Electronics Letters (2 papers)Bio-Medical Materials and Engineering (2 papers)Complexity (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- ChinaUnited KingdomUnited Arab Emirates
In The Last Decade
Hang Dai
66 papers receiving 1.1k citations
Hang Dai's Hit Papers
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 690
- Aerospace Engineering 180
- Computer Graphics and Computer-Aided Design 22
- Geology 35
- Computational Mechanics 130
Countries citing papers authored by Hang Dai
This map shows the geographic impact of Hang Dai'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 Hang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Dai more than expected).
Fields of papers citing papers by Hang Dai
This network shows the impact of papers produced by Hang Dai. 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 Hang Dai. The network helps show where Hang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers Hit paper breakdown → | 2023 | 133 |
| 2 | 2023 | 98 | |
| 3 | 2019 | 80 | |
| 4 | 2022 | 69 | |
| 5 | 2021 | 66 | |
| 6 | 2017 | 65 | |
| 7 | 2018 | 63 | |
| 8 | 2021 | 60 | |
| 9 | 2023 | 58 | |
| 10 | 2021 | 42 | |
| 11 | 2014 | 40 | |
| 12 | 2015 | 37 | |
| 13 | 2022 | 37 | |
| 14 | 2023 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2013 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2022 | 15 | |
| 20 | 2018 | 14 |
About Hang Dai
Hang Dai is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering, Building and Construction, Computational Mechanics and Artificial Intelligence, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (10 papers), Structural Behavior of Reinforced Concrete (9 papers), Advanced Neural Network Applications (8 papers), Face recognition and analysis (8 papers), Structural Load-Bearing Analysis (7 papers), Robotics and Sensor-Based Localization (6 papers), Image and Video Quality Assessment (5 papers) and Visual Attention and Saliency Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (690 citations), Aerospace Engineering (180 citations), Computer Graphics and Computer-Aided Design (22 citations), Geology (35 citations) and Computational Mechanics (130 citations). Hang Dai has collaborated with scholars based in China, United Kingdom and United Arab Emirates. Frequent co-authors include Yong Ding, Ling Shao, Nick Pears, William A. P. Smith, Christian A. Duncan, Jiale Li, Shuo Wang, Sohail Ahmed Khan, Tian-Zhu Xiang and Huaixin Chen. Their work appears in journals such as IEEE Access, Electronics Letters, Bio-Medical Materials and Engineering, Complexity 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.