Da Yang

1.2k total citations
40 papers, 833 citations indexed

About

Da Yang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Environmental Engineering. According to data from OpenAlex, Da Yang has authored 40 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 6 papers in Environmental Engineering. Recurrent topics in Da Yang's work include Advanced Vision and Imaging (21 papers), Image Enhancement Techniques (15 papers) and Video Surveillance and Tracking Methods (12 papers). Da Yang is often cited by papers focused on Advanced Vision and Imaging (21 papers), Image Enhancement Techniques (15 papers) and Video Surveillance and Tracking Methods (12 papers). Da Yang collaborates with scholars based in China, Macao and United States. Da Yang's co-authors include Hao Sheng, Sizhe Wang, Rongshan Chen, Zhenglong Cui, Ruixuan Cong, Shuai Wang, Yang Zhang, Zhang Xiong, Shuo Zhang and Yubin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Da Yang

34 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Yang China 15 510 127 111 90 83 40 833
Faisal Z. Qureshi Canada 14 653 1.3× 64 0.5× 108 1.0× 117 1.3× 64 0.8× 61 895
Chong Wang China 15 524 1.0× 133 1.0× 228 2.1× 82 0.9× 79 1.0× 91 977
Hui Zeng China 15 360 0.7× 65 0.5× 74 0.7× 183 2.0× 220 2.7× 119 874
Feihu Zhang China 11 403 0.8× 66 0.5× 275 2.5× 33 0.4× 47 0.6× 18 843
Christos Kyrkou Cyprus 15 467 0.9× 98 0.8× 190 1.7× 134 1.5× 229 2.8× 53 851
Sung‐Ho Bae South Korea 19 762 1.5× 176 1.4× 160 1.4× 152 1.7× 106 1.3× 75 1.2k
Ruixuan Cong China 9 295 0.6× 76 0.6× 63 0.6× 22 0.2× 77 0.9× 29 576

Countries citing papers authored by Da Yang

Since Specialization
Citations

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

Fields of papers citing papers by Da Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Da Yang. A scholar is included among the top collaborators of Da Yang 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 Da Yang. Da Yang 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.
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
5.
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
6.
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
7.
Yang, Da, Hao Sheng, Sizhe Wang, et al.. (2024). Boosting Light Field Spatial Super-Resolution via Masked Light Field Modeling. IEEE Transactions on Computational Imaging. 10. 1317–1330. 3 indexed citations
8.
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
9.
Wang, Shuai, et al.. (2024). Distributed Collaborative Object Retrieval With Blockchain-Based Edge Computing. IEEE Transactions on Industrial Informatics. 20(6). 8729–8738. 1 indexed citations
10.
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
11.
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
12.
Wang, Shuai, et al.. (2023). A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-Identification. IEEE Transactions on Intelligent Vehicles. 9(2). 3271–3282. 7 indexed citations
13.
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
14.
Sheng, Hao, et al.. (2023). Blockchain-Based Distributed Multiagent Reinforcement Learning for Collaborative Multiobject Tracking Framework. IEEE Transactions on Computers. 73(3). 778–788. 30 indexed citations
15.
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
16.
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
17.
Sheng, Hao, et al.. (2023). Discriminative Feature Learning With Co-Occurrence Attention Network for Vehicle ReID. IEEE Transactions on Circuits and Systems for Video Technology. 34(5). 3510–3522. 27 indexed citations
18.
Wang, Shuai, et al.. (2023). Blockchain-Empowered Distributed Multicamera Multitarget Tracking in Edge Computing. IEEE Transactions on Industrial Informatics. 20(1). 369–379. 66 indexed citations
19.
Wang, Shuai, Hao Sheng, Da Yang, et al.. (2022). Extendable Multiple Nodes Recurrent Tracking Framework With RTU++. IEEE Transactions on Image Processing. 31. 5257–5271. 84 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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