Pan Gao

825 total citations
61 papers, 474 citations indexed

About

Pan Gao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Pan Gao has authored 61 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 20 papers in Signal Processing and 15 papers in Computational Mechanics. Recurrent topics in Pan Gao's work include Advanced Vision and Imaging (22 papers), Video Coding and Compression Technologies (19 papers) and Image and Video Quality Assessment (15 papers). Pan Gao is often cited by papers focused on Advanced Vision and Imaging (22 papers), Video Coding and Compression Technologies (19 papers) and Image and Video Quality Assessment (15 papers). Pan Gao collaborates with scholars based in China, Australia and Ireland. Pan Gao's co-authors include Aljoša Smolić, Wei Xiang, Cagri Ozcinar, Emin Zerman, Xiaoyang Tan, Qiang Peng, Mingqiang Wei, Shanshan Li, Wentao Shi and Manoranjan Paul and has published in prestigious journals such as Langmuir, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Pan Gao

56 papers receiving 469 citations

Peers

Pan Gao

CVPR

CGCD

Joan Llach United States

Vittorio Baroncini Italy

Harry Shum China

Danillo B. Graziosi United States

Vladyslav Zakharchenko United States

Maja Krivokuća United States

Khaled Mammou United States

Naejin Kong South Korea

Harshith Goka United States

Zhixin Shu United States

Joan Llach United States

Pan Gao

539 ×1.6

CVPR

301 ×2.5

110 ×1.0

288 ×2.7

CGCD

65 ×1.1

Citations per year, relative to Pan Gao Pan Gao (= 1×) peers Joan Llach

Countries citing papers authored by Pan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Gao. A scholar is included among the top collaborators of Pan Gao 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 Pan Gao. Pan Gao 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

Gao, Pan, et al.. (2025). Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection. IEEE Transactions on Image Processing. 34. 2301–2314. 1 indexed citations

Gao, Pan, et al.. (2025). PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning. IEEE Transactions on Emerging Topics in Computational Intelligence. 10(1). 926–937.

Gao, Pan, et al.. (2024). MUSTER: A Multi-Scale Transformer-Based Decoder for Semantic Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(1). 202–212. 1 indexed citations

Gao, Pan, et al.. (2024). Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation. IEEE Transactions on Artificial Intelligence. 5(10). 5167–5178. 2 indexed citations

Gao, Pan, et al.. (2024). Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution. IEEE Transactions on Multimedia. 26. 7516–7528. 12 indexed citations

Lin, Hang, et al.. (2024). An Efficient Reinforcement Learning-Based Cooperative Navigation Algorithm for Multiple UAVs in Complex Environments. IEEE Transactions on Industrial Informatics. 20(10). 12396–12406. 6 indexed citations

Liu, Kai, et al.. (2024). Att²CPC: Attention-Guided Lossy Attribute Compression of Point Clouds. IEEE Transactions on Artificial Intelligence. 6(3). 639–650. 1 indexed citations

Gao, Pan, et al.. (2024). CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution. 7455–7464. 9 indexed citations

Paul, Manoranjan, et al.. (2024). A Density-Aware Point Cloud Geometry Compression Leveraging Cluster- Centric Processing. IEEE Access. 12. 81441–81452. 1 indexed citations

10.

Gao, Pan, et al.. (2023). Video Frame Interpolation with Flow Transformer. 1933–1942. 2 indexed citations

11.

Gao, Pan, et al.. (2023). RLGrid: Reinforcement Learning Controlled Grid Deformation for Coarse-to-Fine Point Cloud Completion. IEEE Transactions on Multimedia. 27. 860–874. 2 indexed citations

12.

Gao, Pan, Lijuan Zhang, Lei Lei, & Wei Xiang. (2023). Point Cloud Compression Based on Joint Optimization of Graph Transform and Entropy Coding for Efficient Data Broadcasting. IEEE Transactions on Broadcasting. 69(3). 727–739. 9 indexed citations

13.

Peng, Xiaojiang, et al.. (2023). Cascaded Vehicle Matching and Short-Term Spatial-Temporal Network for Smoky Vehicle Detection. Applied Sciences. 13(8). 4841–4841. 1 indexed citations

14.

Liu, Ningzhong, et al.. (2023). Reverse Knowledge Distillation with Two Teachers for Industrial Defect Detection. Applied Sciences. 13(6). 3838–3838. 9 indexed citations

15.

Li, Zihao, et al.. (2023). Dynamic Local Feature Aggregation for Learning on Point Clouds. SSRN Electronic Journal. 4 indexed citations

16.

Shi, Wentao, et al.. (2022). SSformer: A Lightweight Transformer for Semantic Segmentation. 1–5. 27 indexed citations

17.

Zerman, Emin, Cagri Ozcinar, Pan Gao, & Aljoša Smolić. (2020). Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 1–6. 56 indexed citations

18.

Gao, Pan, Wei Xiang, & Dong Liang. (2018). Texture-Distortion-Constrained Joint Source-Channel Coding of Multi-View Video Plus Depth-Based 3D Video. IEEE Transactions on Circuits and Systems for Video Technology. 29(11). 3326–3340. 5 indexed citations

19.

Xiang, Wei, Pan Gao, & Qiang Peng. (2015). Robust Multiview Three-Dimensional Video Communications Based on Distributed Video Coding. IEEE Systems Journal. 11(4). 2456–2466. 13 indexed citations

20.

Gao, Pan, Qiang Peng, & Wei Xiang. (2014). Error-resilient multi-view video coding using Wyner-Ziv techniques. Multimedia Tools and Applications. 74(18). 7957–7982. 2 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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