Miaohui Wang

2.0k total citations · 2 hit papers
116 papers, 1.4k citations indexed

About

Miaohui Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Mechanical Engineering. According to data from OpenAlex, Miaohui Wang has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 29 papers in Signal Processing and 26 papers in Mechanical Engineering. Recurrent topics in Miaohui Wang's work include Image and Video Quality Assessment (26 papers), Video Coding and Compression Technologies (25 papers) and Advanced Vision and Imaging (25 papers). Miaohui Wang is often cited by papers focused on Image and Video Quality Assessment (26 papers), Video Coding and Compression Technologies (25 papers) and Advanced Vision and Imaging (25 papers). Miaohui Wang collaborates with scholars based in China, Hong Kong and United Kingdom. Miaohui Wang's co-authors include King Ngi Ngan, Xueyuan Ge, Hongliang Li, Yunbo Chen, Siyuan Lu, Kefu Yao, Wuyuan Xie, Xue Liu, Ning Dai and Huanqiang Zeng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Chemistry A and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Miaohui Wang

100 papers receiving 1.4k citations

Hit Papers

Multimodal Imitation Learning for Arc Detection in Comple... 2025 2026 2025 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multimodal Imitation Learning for Arc Detection in Complex Railway Environments
    2025 27 citations Miaohui Wang et al. IEEE Transactions on Instrumentation and Measurement profile →
  2. Rethinking the multi-scale feature hierarchy in object detection transformer (DETR)
    2025 19 citations Qinghe Zheng, Xinyu Tian et al. Applied Soft Computing profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miaohui Wang China 20 646 387 303 206 182 116 1.4k
Dong Sik Kim South Korea 15 263 0.4× 125 0.3× 108 0.4× 59 0.3× 8 0.0× 102 938
G. Petrucci Italy 22 576 0.9× 353 0.9× 121 0.4× 38 0.2× 3 0.0× 41 1.2k
Varun Sharma India 14 266 0.4× 308 0.8× 34 0.1× 76 0.4× 34 0.2× 53 855
Vincent Paquit United States 20 162 0.3× 675 1.7× 32 0.1× 90 0.4× 6 0.0× 50 1.2k
Xian Tao China 17 689 1.1× 616 1.6× 16 0.1× 165 0.8× 10 0.1× 62 1.7k
Haiyong Chen China 22 621 1.0× 342 0.9× 32 0.1× 125 0.6× 5 0.0× 92 1.7k
F.A. Díaz Spain 24 531 0.8× 707 1.8× 6 0.0× 178 0.9× 17 0.1× 116 1.7k
Amlan Kar India 20 532 0.8× 732 1.9× 20 0.1× 154 0.7× 2 0.0× 45 1.4k
Yicheng Jiang China 21 157 0.2× 104 0.3× 99 0.3× 66 0.3× 7 0.0× 131 1.6k

Countries citing papers authored by Miaohui Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Miaohui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Miaohui Wang. A scholar is included among the top collaborators of Miaohui Wang 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 Miaohui Wang. Miaohui Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pei, Yan, Shunquan Tan, Miaohui Wang, & Jiwu Huang. (2025). Prompt Engineering-Assisted Malware Dynamic Analysis Using GPT-4. IEEE Transactions on Dependable and Secure Computing. 22(6). 7712–7728.
2.
Wang, Miaohui, et al.. (2025). Visual Quality Assessment of Composite Images: A Compression-Oriented Database and Measurement. IEEE Transactions on Image Processing. 34. 1849–1863. 1 indexed citations
3.
Wan, Li, Miaohui Wang, Ge Sun, et al.. (2025). Multifunctional hydrogel for the treatment of atopic dermatitis: current advances and translational challenges. European Journal of Pharmaceutical Sciences. 214. 107288–107288. 2 indexed citations
4.
Zheng, Qinghe, Xinyu Tian, Feng Shu, et al.. (2025). Rethinking the multi-scale feature hierarchy in object detection transformer (DETR). Applied Soft Computing. 175. 113081–113081. 19 indexed citations breakdown →
5.
Xie, Wuyuan, et al.. (2024). LLM-Guided Cross-Modal Point Cloud Quality Assessment: A Graph Learning Approach. IEEE Signal Processing Letters. 31. 2250–2254. 3 indexed citations
6.
Wang, Miaohui, et al.. (2024). Blind Multimodal Quality Assessment of Low-Light Images. International Journal of Computer Vision. 133(4). 1665–1688. 2 indexed citations
7.
Wang, Miaohui, et al.. (2024). BinaryFormer: A Hierarchical-Adaptive Binary Vision Transformer (ViT) for Efficient Computing. IEEE Transactions on Industrial Informatics. 20(8). 10657–10668. 2 indexed citations
8.
Song, Yun, et al.. (2024). Fast CU Partition for VVC Intra-Frame Coding via Texture Complexity. IEEE Signal Processing Letters. 31. 959–963. 7 indexed citations
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Zhu, Qing, et al.. (2023). Effects of metallurgical defects on magnetic properties of SLM NiFeMo permalloy. Materials Characterization. 197. 112672–112672. 19 indexed citations
12.
Xie, Wuyuan, Miaohui Wang, Di Lin, Boxin Shi, & Jianmin Jiang. (2023). Surface Geometry Processing: An Efficient Normal-Based Detail Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13749–13765.
13.
14.
Wang, Miaohui, et al.. (2023). ReferPose: Distance Optimization-Based Reference Learning for Human Pose Estimation and Monitoring. IEEE Transactions on Industrial Informatics. 20(3). 4440–4450. 1 indexed citations
15.
Gao, Hao, et al.. (2022). Efficient Geometry Surface Coding in V-PCC. IEEE Transactions on Multimedia. 25. 3329–3342. 15 indexed citations
16.
Wang, Miaohui, et al.. (2022). Perceptually Quasi-Lossless Compression of Screen Content Data Via Visibility Modeling and Deep Forecasting. IEEE Transactions on Industrial Informatics. 18(10). 6865–6875. 10 indexed citations
17.
Wang, Miaohui, Yi‐Jing Huang, Wuyuan Xie, et al.. (2021). Quality Measurement of Screen Images via Foreground Perception and Background Suppression. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 6 indexed citations
18.
Gao, Hao, et al.. (2021). Occupancy Map Guided Fast Video-Based Dynamic Point Cloud Coding. IEEE Transactions on Circuits and Systems for Video Technology. 32(2). 813–825. 45 indexed citations
19.
Sun, Xuebin, et al.. (2020). A Novel Coding Architecture for LiDAR Point Cloud Sequence. IEEE Robotics and Automation Letters. 5(4). 5637–5644. 18 indexed citations
20.
Wang, Miaohui. (2008). Research status and development trends of thermal fatigue property of hot die steels. Heat treatment of metals. 2 indexed citations

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.

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