Yueli Cui

532 total citations
29 papers, 344 citations indexed

About

Yueli Cui is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yueli Cui has authored 29 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 12 papers in Media Technology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yueli Cui's work include Image and Video Quality Assessment (13 papers), Advanced Image Fusion Techniques (11 papers) and Image Enhancement Techniques (11 papers). Yueli Cui is often cited by papers focused on Image and Video Quality Assessment (13 papers), Advanced Image Fusion Techniques (11 papers) and Image Enhancement Techniques (11 papers). Yueli Cui collaborates with scholars based in China and South Korea. Yueli Cui's co-authors include Shiqing Zhang, Xiaoming Zhao, Mei Yu, Gangyi Jiang, Fen Chen, Zongju Peng, Ting Luo, Yeyao Chen, Jinfu Liu and Lu Yu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

In The Last Decade

Yueli Cui

25 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yueli Cui China	9	237	78	73	43	35	29	344
Kailing Guo China	9	296 1.2×	43 0.6×	96 1.3×	52 1.2×	41 1.2×	36	398
Mohammed Beladgham Algeria	10	226 1.0×	53 0.7×	39 0.5×	60 1.4×	14 0.4×	49	352
Seok-Woo Jang South Korea	9	133 0.6×	24 0.3×	22 0.3×	28 0.7×	14 0.4×	70	248
Alireza Bosaghzadeh Iran	11	212 0.9×	24 0.3×	55 0.8×	118 2.7×	17 0.5×	34	311
Tianrong Rao Australia	8	283 1.2×	106 1.4×	15 0.2×	183 4.3×	38 1.1×	19	485
Constantin Vertan Romania	12	271 1.1×	25 0.3×	89 1.2×	38 0.9×	29 0.8×	78	411
Rogério Feris United States	12	424 1.8×	116 1.5×	26 0.4×	64 1.5×	24 0.7×	27	494
Shinji Ozawa Japan	11	214 0.9×	23 0.3×	18 0.2×	55 1.3×	12 0.3×	83	319
Michel Sarkis Germany	10	257 1.1×	93 1.2×	31 0.4×	16 0.4×	15 0.4×	26	300
Linlin Shen China	8	484 2.0×	51 0.7×	103 1.4×	46 1.1×	18 0.5×	13	587

Countries citing papers authored by Yueli Cui

Since Specialization

Citations

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

Fields of papers citing papers by Yueli Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueli Cui

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

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.

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.

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

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

Cui, Yueli, et al.. (2024). Blind Quality Evaluator for Enhanced Colonoscopy Images by Integrating Local and Global Statistical Features. IEEE Transactions on Instrumentation and Measurement. 73. 1–15. 4 indexed citations

Yu, Mei, et al.. (2024). Quality assessment for multi-exposure fusion light field images with dynamic region segmentation. Digital Signal Processing. 154. 104666–104666. 2 indexed citations

Cui, Yueli, et al.. (2024). Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristics. Multimedia Systems. 30(4). 1 indexed citations

Cui, Yueli, Gangyi Jiang, Mei Yu, Yeyao Chen, & Yo‐Sung Ho. (2023). Stitched Wide Field of View Light Field Image Quality Assessment: Benchmark Database and Objective Metric. IEEE Transactions on Multimedia. 26. 5092–5107. 28 indexed citations

10.

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

11.

Cui, Yueli, Mei Yu, Gangyi Jiang, Zongju Peng, & Fen Chen. (2022). Blind Tone-Mapped HDR Image Quality Measurement by Analysis of Low-Level and High-Level Perceptual Characteristics. IEEE Transactions on Instrumentation and Measurement. 71. 1–15. 19 indexed citations

12.

Liu, Jinfu, Wujie Zhou, Yueli Cui, Lu Yu, & Ting Luo. (2022). GCNet: Grid-like context-aware network for RGB-thermal semantic segmentation. Neurocomputing. 506. 60–67. 35 indexed citations

13.

Zhang, Shiqing, et al.. (2020). Learning Deep Binaural Representations With Deep Convolutional Neural Networks for Spontaneous Speech Emotion Recognition. IEEE Access. 8. 23496–23505. 24 indexed citations

14.

Cui, Yueli. (2020). No-Reference Image Quality Assessment Based on Dual-Domain Feature Fusion. Entropy. 22(3). 344–344. 8 indexed citations

15.

Cui, Yueli, et al.. (2020). Designing a Supermarket Service Robot Based on Deep Convolutional Neural Networks. Symmetry. 12(3). 360–360. 7 indexed citations

16.

Cui, Yueli, et al.. (2019). Human Visual Perception-Based Multi-Exposure Fusion Image Quality Assessment. Symmetry. 11(12). 1494–1494. 3 indexed citations

17.

Zhang, Shiqing, et al.. (2019). Learning Affective Video Features for Facial Expression Recognition via Hybrid Deep Learning. IEEE Access. 7. 32297–32304. 107 indexed citations

18.

Cui, Yueli, et al.. (2015). A Novel Adaptive Image Hiding Algorithm. Journal of Communications.

19.

Cui, Yueli, et al.. (2014). A New Digital Image Hiding Algorithm Based on Wavelet Packet Transform and Singular Value Decomposition. Indonesian Journal of Electrical Engineering and Computer Science. 12(7). 5408–5413. 3 indexed citations

20.

Cui, Yueli. (1986). Public health in the People's Republic of China (1986). Medical Entomology and Zoology. 9 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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