Gangyi Jiang

5.9k total citations
331 papers, 4.2k citations indexed

About

Gangyi Jiang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Gangyi Jiang has authored 331 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 314 papers in Computer Vision and Pattern Recognition, 104 papers in Media Technology and 84 papers in Signal Processing. Recurrent topics in Gangyi Jiang's work include Image and Video Quality Assessment (181 papers), Advanced Vision and Imaging (126 papers) and Advanced Image Processing Techniques (92 papers). Gangyi Jiang is often cited by papers focused on Image and Video Quality Assessment (181 papers), Advanced Vision and Imaging (126 papers) and Advanced Image Processing Techniques (92 papers). Gangyi Jiang collaborates with scholars based in China, Singapore and South Korea. Gangyi Jiang's co-authors include Feng Shao, Mei Yu, Mei Yu, Weisi Lin, Zongju Peng, Qiuping Jiang, Yo‐Sung Ho, Haiyong Xu, Yun Zhang and Qionghai Dai and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Gangyi Jiang

297 papers receiving 4.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gangyi Jiang China 31 3.7k 1.5k 896 360 275 331 4.2k
Yo‐Sung Ho South Korea 26 2.8k 0.8× 718 0.5× 776 0.9× 134 0.4× 72 0.3× 280 3.1k
Liquan Shen China 33 4.0k 1.1× 570 0.4× 2.1k 2.4× 120 0.3× 123 0.4× 206 4.2k
Hongliang Li China 35 4.1k 1.1× 1.1k 0.7× 728 0.8× 79 0.2× 62 0.2× 215 4.5k
Kwanghoon Sohn South Korea 31 3.1k 0.8× 1.1k 0.8× 278 0.3× 132 0.4× 67 0.2× 227 3.6k
Shang‐Hong Lai Taiwan 28 2.5k 0.7× 454 0.3× 456 0.5× 141 0.4× 46 0.2× 230 3.2k
Huanqiang Zeng China 29 2.2k 0.6× 545 0.4× 502 0.6× 34 0.1× 116 0.4× 157 2.6k
Deepu Rajan Singapore 28 2.2k 0.6× 460 0.3× 180 0.2× 107 0.3× 87 0.3× 121 2.8k
Shao‐Yi Chien Taiwan 29 3.1k 0.9× 365 0.2× 1.3k 1.5× 228 0.6× 38 0.1× 268 4.0k
Yung‐Yu Chuang Taiwan 32 4.2k 1.1× 774 0.5× 205 0.2× 74 0.2× 111 0.4× 103 4.7k
Björn Stenger Japan 28 2.4k 0.7× 484 0.3× 178 0.2× 83 0.2× 49 0.2× 86 3.0k

Countries citing papers authored by Gangyi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Gangyi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gangyi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Gangyi Jiang. A scholar is included among the top collaborators of Gangyi Jiang 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 Gangyi Jiang. Gangyi Jiang 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.
Zhou, Rui, Gangyi Jiang, Linwei Zhu, Yueli Cui, & Ting Luo. (2025). Blind Light Field Image Quality Assessment via Frequency Domain Analysis and Auxiliary Learning. IEEE Signal Processing Letters. 32. 711–715. 1 indexed citations
2.
He, Zhouyan, Ting Luo, Gangyi Jiang, et al.. (2025). DA-Net: A Double Alignment Multimodal Learning Network for Point Cloud Quality Assessment. IEEE Transactions on Image Processing. 34. 8185–8200.
3.
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.
4.
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
5.
Luo, Ting, Zhouyan He, Gangyi Jiang, et al.. (2025). DiffW: Multi-Encoder Based on Conditional Diffusion Model for Robust Image Watermarking. IEEE Transactions on Multimedia. 28. 837–852.
6.
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.
7.
Yu, Mei, et al.. (2024). Cracks-suppression perceptual geometry coding for dynamic point clouds. Digital Signal Processing. 149. 104471–104471.
8.
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
9.
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
10.
Xu, Haiyong, et al.. (2024). UIE-Convformer: Underwater Image Enhancement Based on Convolution and Feature Fusion Transformer. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1952–1968. 32 indexed citations
11.
Luo, Ting, et al.. (2024). CAISFormer: Channel-wise attention transformer for image steganography. Neurocomputing. 603. 128295–128295. 6 indexed citations
12.
Peng, Zongju, et al.. (2023). Multi-Modal Learning-Based Blind Video Quality Assessment Metric for Synthesized Views. IEEE Transactions on Broadcasting. 70(1). 208–222. 3 indexed citations
13.
Cui, Yueli, Gangyi Jiang, Mei Yu, & Yang Song. (2022). Local Visual and Global Deep Features Based Blind Stitched Panoramic Image Quality Evaluation Using Ensemble Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(5). 1222–1236. 14 indexed citations
14.
Xu, Haiyong, Gangyi Jiang, Mei Yu, et al.. (2021). Tensor Product and Tensor-Singular Value Decomposition Based Multi-Exposure Fusion of Images. IEEE Transactions on Multimedia. 24. 3738–3753. 9 indexed citations
15.
Yu, Mei, et al.. (2020). Pseudo Video and Refocused Images-Based Blind Light Field Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology. 31(7). 2575–2590. 31 indexed citations
16.
Chen, Fen, et al.. (2020). A fast CU size decision algorithm for VVC intra prediction based on support vector machine. Multimedia Tools and Applications. 79(37-38). 27923–27939. 38 indexed citations
17.
Huang, Chao, Zongju Peng, Yong Xu, et al.. (2020). Online Learning-Based Multi-Stage Complexity Control for Live Video Coding. IEEE Transactions on Image Processing. 30. 641–656. 21 indexed citations
18.
Yang, Hao, et al.. (2019). Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 30(6). 1668–1682. 204 indexed citations
19.
Peng, Zongju, et al.. (2019). Quality assessment of stereoscopic video in free viewpoint video system. Journal of Visual Communication and Image Representation. 63. 102569–102569. 3 indexed citations
20.
Song, Yang, Mei Yu, Gangyi Jiang, Feng Shao, & Zongju Peng. (2017). Video quality assessment using motion-compensated temporal filtering and manifold feature similarity. PLoS ONE. 12(4). e0175798–e0175798. 1 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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