Hangwei Chen

663 total citations
36 papers, 400 citations indexed

About

Hangwei Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Hangwei Chen has authored 36 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Cognitive Neuroscience. Recurrent topics in Hangwei Chen's work include Visual Attention and Saliency Detection (18 papers), Image Enhancement Techniques (7 papers) and Advanced Image Fusion Techniques (6 papers). Hangwei Chen is often cited by papers focused on Visual Attention and Saliency Detection (18 papers), Image Enhancement Techniques (7 papers) and Advanced Image Fusion Techniques (6 papers). Hangwei Chen collaborates with scholars based in China and South Korea. Hangwei Chen's co-authors include Feng Shao, Qiuping Jiang, Yo‐Sung Ho, Xiongli Chai, Xiangchao Meng, Gang Chen, Long Xu, Weiwei Sun, Hongjie Chen and X. H. Yan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Hangwei Chen

32 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hangwei Chen China 11 340 103 57 46 26 36 400
Xiongli Chai China 13 393 1.2× 152 1.5× 35 0.6× 52 1.1× 11 0.4× 38 447
Steven Zhiying Zhou Singapore 11 380 1.1× 70 0.7× 58 1.0× 21 0.5× 21 0.8× 23 435
Zhenghao Shi China 12 233 0.7× 122 1.2× 17 0.3× 49 1.1× 25 1.0× 35 367
Jiwoo Kang South Korea 9 161 0.5× 44 0.4× 35 0.6× 16 0.3× 16 0.6× 64 265
Vinit Jakhetiya India 15 327 1.0× 119 1.2× 63 1.1× 13 0.3× 62 2.4× 53 492
Yawen Lu United States 10 219 0.6× 64 0.6× 54 0.9× 7 0.2× 28 1.1× 34 293
Zhenbo Luo China 7 451 1.3× 191 1.9× 79 1.4× 12 0.3× 67 2.6× 8 524
Peter Barnum United States 7 401 1.2× 135 1.3× 32 0.6× 25 0.5× 7 0.3× 12 481
Xukun Shen China 9 228 0.7× 34 0.3× 28 0.5× 14 0.3× 34 1.3× 90 340

Countries citing papers authored by Hangwei Chen

Since Specialization
Citations

This map shows the geographic impact of Hangwei Chen'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 Hangwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangwei Chen more than expected).

Fields of papers citing papers by Hangwei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hangwei Chen. 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 Hangwei Chen. The network helps show where Hangwei Chen may publish in the future.

Co-authorship network of co-authors of Hangwei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hangwei Chen. A scholar is included among the top collaborators of Hangwei Chen 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 Hangwei Chen. Hangwei Chen 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.
Shao, Feng, et al.. (2025). Multi-view stereo with cross-scale feature fusion strategy and hybrid depth estimation. Displays. 90. 103128–103128. 1 indexed citations
2.
Li, H., Feng Shao, Hangwei Chen, Xiongli Chai, & Qiuping Jiang. (2025). MDGINet: Multi-frequency Dynamic Guidance and Interaction network for image denoising. Knowledge-Based Systems. 325. 113981–113981.
3.
Shao, Feng, et al.. (2025). PU-MG: Mutual guidance framework for Point Cloud Upsampling. Displays. 91. 103270–103270.
4.
Shao, Feng, et al.. (2025). MISF-Net: Modality-Invariant and -Specific Fusion Network for RGB-T Crowd Counting. IEEE Transactions on Multimedia. 27. 2593–2607. 4 indexed citations
5.
Shao, Feng, et al.. (2025). Rethinking Lightweight RGB–Thermal Salient Object Detection With Local and Global Perception Network. IEEE Internet of Things Journal. 12(11). 18056–18069. 2 indexed citations
6.
Shao, Feng, et al.. (2024). AFNet: Asymmetric fusion network for monocular panorama depth estimation. Displays. 84. 102744–102744. 1 indexed citations
7.
Shao, Feng, et al.. (2024). BGDFNet: Bidirectional Gated and Dynamic Fusion Network for RGB-T Crowd Counting in Smart City System. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 9 indexed citations
8.
Chen, Hangwei, et al.. (2024). Cross-Modal Hierarchical Knowledge Distillation for Image Aesthetics Assessment. IEEE Transactions on Multimedia. 27. 2556–2569.
9.
Shao, Feng, et al.. (2024). Dynamic Weighted Fusion and Progressive Refinement Network for Visible-Depth-Thermal Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 10662–10677. 5 indexed citations
10.
Chen, Hangwei, et al.. (2024). Dual-Stream Interaction Network for Assessing Image Technique and Aesthetic Quality. IEEE Transactions on Consumer Electronics. 71(1). 453–466. 1 indexed citations
11.
Shao, Feng, et al.. (2024). Visual Prompt Multibranch Fusion Network for RGB-Thermal Crowd Counting. IEEE Internet of Things Journal. 11(19). 31758–31775. 9 indexed citations
12.
Chen, Hangwei, et al.. (2024). Art Comes From Life: Artistic Image Aesthetics Assessment via Attribute Knowledge Amalgamation. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 4172–4183.
13.
Huang, Leilei, et al.. (2024). Benchmark Dataset and Pair-Wise Ranking Method for Quality Evaluation of Night-Time Image Enhancement. IEEE Transactions on Multimedia. 26. 9436–9449. 2 indexed citations
14.
Chen, Hongjie, Feng Shao, Xiongli Chai, & Hangwei Chen. (2023). Progressive spatial-angular feature enhancement network for light field image super-resolution. Displays. 79. 102501–102501. 2 indexed citations
15.
Yan, X. H., Feng Shao, Hangwei Chen, & Qiuping Jiang. (2023). Hybrid CNN-transformer based meta-learning approach for personalized image aesthetics assessment. Journal of Visual Communication and Image Representation. 98. 104044–104044. 4 indexed citations
16.
Chai, Xiongli, et al.. (2023). Multi-view aggregation transformer for no-reference point cloud quality assessment. Displays. 78. 102450–102450. 15 indexed citations
17.
Shao, Feng, et al.. (2023). Hallucinated-PQA: No reference point cloud quality assessment via injecting pseudo-reference features. Expert Systems with Applications. 243. 122953–122953. 7 indexed citations
18.
Shao, Feng, et al.. (2023). Multi-View Aggregation Transformer for No-Reference Point Cloud Quality Assessment. SSRN Electronic Journal. 1 indexed citations
19.
Chai, Xiongli, et al.. (2023). Super-Resolution Reconstruction for Stereoscopic Omnidirectional Display Systems via Dynamic Convolutions and Cross-View Transformer. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 13 indexed citations
20.
Chen, Gang, Feng Shao, Xiongli Chai, et al.. (2022). CGMDRNet: Cross-Guided Modality Difference Reduction Network for RGB-T Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6308–6323. 57 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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