Yeyao Chen

529 total citations
36 papers, 261 citations indexed

About

Yeyao Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering. According to data from OpenAlex, Yeyao Chen has authored 36 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 3 papers in Biomedical Engineering. Recurrent topics in Yeyao Chen's work include Image Enhancement Techniques (29 papers), Advanced Image Processing Techniques (17 papers) and Advanced Vision and Imaging (16 papers). Yeyao Chen is often cited by papers focused on Image Enhancement Techniques (29 papers), Advanced Image Processing Techniques (17 papers) and Advanced Vision and Imaging (16 papers). Yeyao Chen collaborates with scholars based in China and South Korea. Yeyao Chen's co-authors include Gangyi Jiang, Haiyong Xu, Yo‐Sung Ho, Mei Yu, Mei Yu, Ting Luo, Yueli Cui, Xuebo Zhang, You Yang and Mei Yu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Yeyao Chen

29 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeyao Chen China 10 228 93 22 14 14 36 261
Jinglei Shi China 7 201 0.9× 60 0.6× 12 0.5× 9 0.6× 14 1.0× 15 235
Hao-Hsiang Yang Taiwan 8 276 1.2× 117 1.3× 3 0.1× 8 0.6× 13 0.9× 15 325
Zhouyan He China 9 169 0.7× 47 0.5× 7 0.3× 16 1.1× 12 0.9× 34 228
Mikaël Le Pendu France 9 292 1.3× 54 0.6× 13 0.6× 14 1.0× 18 1.3× 20 321
Guangqi Hou China 7 234 1.0× 86 0.9× 8 0.4× 13 0.9× 24 1.7× 11 257
Jun Lyu China 9 159 0.7× 83 0.9× 4 0.2× 5 0.4× 33 2.4× 27 281
Liyuan Pan China 7 159 0.7× 93 1.0× 7 0.3× 7 0.5× 9 0.6× 22 230
Xunpeng Yi China 6 226 1.0× 177 1.9× 8 0.4× 8 0.6× 18 1.3× 11 299
Baoli Sun China 9 299 1.3× 135 1.5× 10 0.5× 4 0.3× 28 2.0× 16 333

Countries citing papers authored by Yeyao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yeyao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeyao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yeyao Chen. A scholar is included among the top collaborators of Yeyao 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 Yeyao Chen. Yeyao 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.
Jiang, Gangyi, Yeyao Chen, Yueli Cui, et al.. (2025). Multiexposure Fused Light Field Image Quality Measurement in Dynamic Scenes Based on Joint Ghost Artifact and Spatial-Angular Representation Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–13.
2.
Luo, Ting, Gangyi Jiang, Leiming Liu, et al.. (2025). LatentDark: Reflectance guided latent diffusion model for low-light image enhancement. Signal Processing. 238. 110125–110125. 2 indexed citations
3.
Chen, Yeyao, et al.. (2025). Combining independent and joint spatial-angular information learning for light field image super-resolution. Knowledge-Based Systems. 330. 114619–114619.
4.
Liu, Leiming, Ting Luo, Gangyi Jiang, et al.. (2025). DiffOSR: Latitude-aware conditional diffusion probabilistic model for omnidirectional image super-resolution. Knowledge-Based Systems. 315. 113244–113244.
5.
He, Zhouyan, Gangyi Jiang, Mei Yu, et al.. (2025). Local and Global Structure-Guided No-Reference Point Cloud Quality Assessment. IEEE Transactions on Multimedia. 27. 9252–9266.
6.
Luo, Ting, Gangyi Jiang, Yeyao Chen, et al.. (2025). DiffDark: Multi-prior integration driven diffusion model for low-light image enhancement. Pattern Recognition. 168. 111814–111814. 3 indexed citations
7.
Jiang, Gangyi, Linwei Zhu, Yeyao Chen, et al.. (2025). ARMLF: Anomalous region representation learning for multi-exposure fused light field image quality assessment. Expert Systems with Applications. 295. 128843–128843.
8.
9.
Chen, Yeyao, et al.. (2024). Multi-Scale Spatial-Angular Collaborative Guidance Network for Heterogeneous Light Field Spatial Super-Resolution. IEEE Transactions on Broadcasting. 70(4). 1221–1235. 2 indexed citations
10.
Xu, Haiyong, et al.. (2024). Underwater Monocular Depth Estimation Based on Physical-Guided Transformer. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 6 indexed citations
11.
He, Zhouyan, et al.. (2024). Joint Luminance-Saliency Prior and Attention for Underwater Image Quality Assessment. Remote Sensing. 16(16). 3021–3021. 4 indexed citations
12.
Liu, Yun, Gangyi Jiang, Yeyao Chen, et al.. (2024). Multi-exposure fused light field image quality assessment for dynamic scenes: Benchmark dataset and objective metric. Expert Systems with Applications. 256. 124881–124881. 6 indexed citations
13.
Xu, Haiyong, et al.. (2024). UIE-SFIFormer: Underwater Image Enhancement Based on Physical-Guided Spatial–Frequency Interaction Transformer. IEEE Journal of Oceanic Engineering. 50(2). 727–742. 6 indexed citations
14.
Xu, Haiyong, et al.. (2024). Vision graph convolutional network for underwater image enhancement. Knowledge-Based Systems. 299. 112048–112048. 6 indexed citations
15.
Chen, Yeyao, et al.. (2024). Multi-Attention Learning and Exposure Guidance Toward Ghost-Free High Dynamic Range Light Field Imaging. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5304–5320. 3 indexed citations
16.
Zhou, Rui, Gangyi Jiang, Yueli Cui, et al.. (2024). MAFBLiF: Multi-Scale Attention Feature Fusion-Based Blind Light Field Image Quality Assessment. IEEE Transactions on Broadcasting. 70(4). 1266–1278. 6 indexed citations
17.
Chen, Yeyao, et al.. (2024). Multi-stage coarse-to-fine progressive enhancement network for single-image HDR reconstruction. Displays. 84. 102791–102791. 2 indexed citations
18.
Xu, Haiyong, Gangyi Jiang, Mei Yu, et al.. (2023). DiffWater: Underwater Image Enhancement Based on Conditional Denoising Diffusion Probabilistic Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 2319–2335. 38 indexed citations
19.
Li, Xinyue, Haiyong Xu, Gangyi Jiang, et al.. (2023). Underwater Image Quality Assessment Based on Multiscale and Antagonistic Energy. IEEE Transactions on Instrumentation and Measurement. 73. 1–14. 6 indexed citations
20.
Chen, Yeyao, Mei Yu, Gangyi Jiang, Zongju Peng, & Fen Chen. (2019). End-to-end single image enhancement based on a dual network cascade model. Journal of Visual Communication and Image Representation. 61. 284–295. 13 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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