Zhenglong Cui

1.0k total citations · 1 hit paper
27 papers, 586 citations indexed

About

Zhenglong Cui is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Media Technology. According to data from OpenAlex, Zhenglong Cui has authored 27 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Media Technology. Recurrent topics in Zhenglong Cui's work include Advanced Vision and Imaging (16 papers), Image Enhancement Techniques (14 papers) and Advanced Image Processing Techniques (8 papers). Zhenglong Cui is often cited by papers focused on Advanced Vision and Imaging (16 papers), Image Enhancement Techniques (14 papers) and Advanced Image Processing Techniques (8 papers). Zhenglong Cui collaborates with scholars based in China and Macao. Zhenglong Cui's co-authors include Hao Sheng, Rongshan Chen, Ruixuan Cong, Da Yang, Sizhe Wang, M. G. Zhao, Wei Ke, Shuai Wang, Zhang Xiong and Tun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Computers.

In The Last Decade

Zhenglong Cui

22 papers receiving 576 citations

Hit Papers

Adaptive EPI-Matching Cost for Light Field Disparity Esti... 2024 2026 2025 2024 50 100 150

Peers

Zhenglong Cui
Stuart Perry Australia
Jun Sun China
Hanyu Li China
Zhenglong Cui
Citations per year, relative to Zhenglong Cui Zhenglong Cui (= 1×) peers Ruixuan Cong

Countries citing papers authored by Zhenglong Cui

Since Specialization
Citations

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

Fields of papers citing papers by Zhenglong Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenglong Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenglong Cui. A scholar is included among the top collaborators of Zhenglong 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 Zhenglong Cui. Zhenglong Cui 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.
Chen, Rongshan, Hao Sheng, Da Yang, et al.. (2025). Multiplane-Based Cross-View Interaction Mechanism for Robust Light Field Angular Super-Resolution. IEEE Transactions on Visualization and Computer Graphics. 31(10). 8159–8173.
2.
Zhao, M. G., Hao Sheng, Rongshan Chen, et al.. (2025). UNeLF: Unconstrained Neural Light Field for Self-Supervised Angular Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 7499–7511.
3.
Chen, Rongshan, Hao Sheng, Da Yang, et al.. (2025). Towards Depth-Continuous Scene Representation With a Displacement Field for Robust Light Field Depth Estimation. IEEE Transactions on Multimedia. 27. 3637–3649. 3 indexed citations
4.
Wang, Sizhe, et al.. (2025). Four-dimension efficient pixel-frequency transformer for light field spatial and angular super-resolution. Engineering Applications of Artificial Intelligence. 154. 110901–110901.
5.
Chen, Rongshan, Hao Sheng, Ruixuan Cong, et al.. (2025). Stereo matching on epipolar plane image for light field depth estimation via oriented structure. Engineering Applications of Artificial Intelligence. 151. 110608–110608.
6.
Cong, Ruixuan, Hao Sheng, Da Yang, Rongshan Chen, & Zhenglong Cui. (2025). Pseudo 5D hyperspectral light field for image semantic segmentation. Information Fusion. 121. 103042–103042. 1 indexed citations
7.
Chen, Rongshan, et al.. (2024). Pixel-wise matching cost function for robust light field depth estimation. Expert Systems with Applications. 262. 125560–125560. 3 indexed citations
8.
Wang, Sizhe, Hao Sheng, Rongshan Chen, et al.. (2024). Spatial–angular–epipolar transformer for light field spatial and angular super-resolution. Displays. 85. 102816–102816. 2 indexed citations
9.
Chen, Rongshan, Hao Sheng, Da Yang, Zhenglong Cui, & Ruixuan Cong. (2024). Surface-Continuous Scene Representation for Light Field Depth Estimation via Planarity Prior. IEEE Transactions on Circuits and Systems for Video Technology. 35(5). 5051–5066. 2 indexed citations
10.
Sheng, Hao, et al.. (2024). Adaptive EPI-Matching Cost for Light Field Disparity Estimation. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 184 indexed citations breakdown →
11.
Cui, Zhenglong, Da Yang, Hao Sheng, et al.. (2024). Triple Consistency for Transparent Cheating Problem in Light Field Depth Estimation. IEEE Transactions on Multimedia. 26. 10651–10664. 1 indexed citations
12.
Cong, Ruixuan, Hao Sheng, Da Yang, et al.. (2024). End-to-End Semantic Segmentation Utilizing Multi-Scale Baseline Light Field. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5790–5804. 7 indexed citations
13.
Chen, Rongshan, Hao Sheng, Da Yang, et al.. (2024). View-Guided Cost Volume for Light Field Arbitrary-View Disparity Estimation. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5480–5493. 5 indexed citations
14.
Zhao, M. G., Hao Sheng, Rongshan Chen, et al.. (2024). A GPU-Enabled Framework for Light Field Efficient Compression and Real-Time Rendering. IEEE Transactions on Computers. 74(4). 1168–1181. 1 indexed citations
15.
Cong, Ruixuan, Hao Sheng, Da Yang, Zhenglong Cui, & Rongshan Chen. (2023). Exploiting Spatial and Angular Correlations With Deep Efficient Transformers for Light Field Image Super-Resolution. IEEE Transactions on Multimedia. 26. 1421–1435. 79 indexed citations
16.
Cui, Zhenglong, Hao Sheng, Da Yang, et al.. (2023). Light Field Depth Estimation for Non-Lambertian Objects via Adaptive Cross Operator. IEEE Transactions on Circuits and Systems for Video Technology. 34(2). 1199–1211. 41 indexed citations
17.
Sheng, Hao, Sizhe Wang, Da Yang, et al.. (2023). Cross-View Recurrence-Based Self-Supervised Super-Resolution of Light Field. IEEE Transactions on Circuits and Systems for Video Technology. 33(12). 7252–7266. 44 indexed citations
18.
Yang, Da, Zhenglong Cui, Hao Sheng, et al.. (2023). An Occlusion and Noise-Aware Stereo Framework Based on Light Field Imaging for Robust Disparity Estimation. IEEE Transactions on Computers. 73(3). 764–777. 31 indexed citations
19.
Wang, Sizhe, Hao Sheng, Da Yang, et al.. (2023). MFSRNet: spatial-angular correlation retaining for light field super-resolution. Applied Intelligence. 53(17). 20327–20345. 7 indexed citations
20.
Sheng, Hao, Ruixuan Cong, Da Yang, et al.. (2022). UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes. IEEE Transactions on Circuits and Systems for Video Technology. 32(11). 7880–7893. 111 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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