Miaohui Wang
- Metals and Alloys top 2%
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- Image and Video Quality Assessment 26
- Advanced Vision and Imaging 25
- Advanced Image Processing Techniques 18
- Advanced Data Compression Techniques 13
- Visual Attention and Saliency Detection 9
- Signal Processing top 2%
- Video Coding and Compression Technologies 25
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- Computer Graphics and Visualization Techniques 10
- General Dentistry top 5%
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- 3D Shape Modeling and Analysis 10
- Journals
- IEEE Transactions on Industrial Informatics (9 papers)IEEE Signal Processing Letters (6 papers)IEEE Access (4 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Miaohui Wang
100 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Metals and Alloys 182
- Computer Vision and Pattern Recognition 646
- Signal Processing 303
- Computer Graphics and Computer-Aided Design 67
- General Dentistry 27
Countries citing papers authored by Miaohui Wang
This map shows the geographic impact of Miaohui Wang'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 Miaohui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miaohui Wang more than expected).
Fields of papers citing papers by Miaohui Wang
This network shows the impact of papers produced by Miaohui Wang. 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 Miaohui Wang. The network helps show where Miaohui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miaohui Wang, 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 | 2025 | 0 | |
| 2 | Rethinking the multi-scale feature hierarchy in object detection transformer (DETR)breakdown → | 2025 | 19 |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 2 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 45 | |
| 19 | 2020 | 18 | |
| 20 | Research status and development trends of thermal fatigue property of hot die steels | 2008 | 2 |
About Miaohui Wang
Miaohui Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 116 papers that have together received 1.4k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (26 papers), Video Coding and Compression Technologies (25 papers), Advanced Vision and Imaging (25 papers), Advanced Image Processing Techniques (18 papers), Advanced Data Compression Techniques (13 papers), 3D Shape Modeling and Analysis (10 papers), Computer Graphics and Visualization Techniques (10 papers) and Visual Attention and Saliency Detection (9 papers). The work is most often cited by research in Metals and Alloys (182 citations), Computer Vision and Pattern Recognition (646 citations) and Signal Processing (303 citations). Miaohui Wang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include King Ngi Ngan, Xueyuan Ge, Hongliang Li, Yunbo Chen, Kefu Yao, Siyuan Lu, Wuyuan Xie, Xue Liu, Sukun Tian and Ning Dai. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Signal Processing Letters, IEEE Access, IEEE Transactions on Multimedia and IEEE Transactions on Circuits and Systems for Video Technology.
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.