Shanshe Wang

4.0k total citations · 1 hit paper
166 papers, 2.6k citations indexed

About

Shanshe Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Shanshe Wang has authored 166 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Computer Vision and Pattern Recognition, 97 papers in Signal Processing and 13 papers in Media Technology. Recurrent topics in Shanshe Wang's work include Video Coding and Compression Technologies (96 papers), Advanced Vision and Imaging (85 papers) and Advanced Image Processing Techniques (63 papers). Shanshe Wang is often cited by papers focused on Video Coding and Compression Technologies (96 papers), Advanced Vision and Imaging (85 papers) and Advanced Image Processing Techniques (63 papers). Shanshe Wang collaborates with scholars based in China, Hong Kong and United States. Shanshe Wang's co-authors include Siwei Ma, Xinfeng Zhang, Shiqi Wang, Wen Gao, Chuanmin Jia, Zhenghui Zhao, Wen Gao, Xiang Zhang, Debin Zhao and Zhao Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Shanshe Wang

159 papers receiving 2.5k citations

Hit Papers

Image and Video Compression With Neural Networks: A Review 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshe Wang China 26 2.3k 1.2k 172 158 136 166 2.6k
Nam Ling United States 30 2.1k 0.9× 1.1k 1.0× 348 2.0× 158 1.0× 81 0.6× 238 2.4k
Zhiyong Gao China 21 1.8k 0.8× 616 0.5× 272 1.6× 150 0.9× 54 0.4× 97 2.2k
André Kaup Germany 25 2.7k 1.2× 1.1k 0.9× 435 2.5× 132 0.8× 186 1.4× 363 3.1k
Heming Sun Japan 17 1.3k 0.6× 604 0.5× 96 0.6× 128 0.8× 56 0.4× 100 1.6k
Feng Dai China 17 1.4k 0.6× 467 0.4× 238 1.4× 249 1.6× 281 2.1× 60 1.8k
Jizheng Xu China 29 4.3k 1.9× 1.8k 1.6× 1.1k 6.1× 251 1.6× 162 1.2× 170 4.7k
Dong Tian United States 21 1.2k 0.5× 605 0.5× 79 0.5× 95 0.6× 494 3.6× 72 1.7k
Liquan Shen China 33 4.0k 1.7× 2.1k 1.8× 570 3.3× 113 0.7× 43 0.3× 206 4.2k
Xiaoyan Sun China 25 2.5k 1.1× 407 0.3× 756 4.4× 275 1.7× 122 0.9× 132 2.8k

Countries citing papers authored by Shanshe Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shanshe Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshe Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshe Wang. A scholar is included among the top collaborators of Shanshe Wang 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 Shanshe Wang. Shanshe Wang 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.
Zhang, Qi, Shanshe Wang, Xinfeng Zhang, et al.. (2024). Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 7651–7668. 3 indexed citations
2.
Jia, Chuanmin, et al.. (2024). Rate-Distortion Optimized Cross Modal Compression With Multiple Domains. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 6978–6992. 1 indexed citations
3.
Zhang, Xinfeng, et al.. (2024). Diffusion-Based Hypotheses Generation and Joint-Level Hypotheses Aggregation for 3D Human Pose Estimation. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 10678–10691. 1 indexed citations
4.
Wang, Shanshe, et al.. (2023). SVT-AVS3: An Open-Source High-Performance AVS3 Encoder With Scalable Video Technology. IEEE Transactions on Multimedia. 26. 3291–3301. 1 indexed citations
5.
Jia, Chuanmin, et al.. (2023). Cross Modal Compression With Variable Rate Prompt. IEEE Transactions on Multimedia. 26. 3444–3456. 4 indexed citations
6.
Jia, Chuanmin, et al.. (2022). DMVC: Decomposed Motion Modeling for Learned Video Compression. IEEE Transactions on Circuits and Systems for Video Technology. 33(7). 3502–3515. 32 indexed citations
7.
Wang, Meng, et al.. (2022). Scalable Intra Coding Optimization for Video Coding. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 7092–7106. 5 indexed citations
8.
Chang, Zheng, Xinfeng Zhang, Shanshe Wang, Siwei Ma, & Wen Gao. (2022). STAM: A SpatioTemporal Attention Based Memory for Video Prediction. IEEE Transactions on Multimedia. 25. 2354–2367. 17 indexed citations
9.
Zhang, Qi, et al.. (2022). RealVR: Efficient, Economical, and Quality-of- Experience-Driven VR Video System Based on MPEG OMAF. IEEE Transactions on Multimedia. 25. 5386–5399. 9 indexed citations
10.
Wang, Suhong, et al.. (2022). Textural and Directional Information Based Offset In-Loop Filtering in AVS3. IEEE Transactions on Multimedia. 25. 5957–5971. 3 indexed citations
11.
Wang, Shiqi, et al.. (2022). Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities. IEEE Transactions on Circuits and Systems for Video Technology. 33(5). 2396–2409. 3 indexed citations
12.
Wang, Suhong, Chuanmin Jia, Xinfeng Zhang, et al.. (2022). A Pixel-Level Segmentation-Synthesis Framework for Dynamic Texture Video Compression. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 7077–7091. 1 indexed citations
13.
Jia, Chuanmin, et al.. (2021). Spatio-Temporal Correlation Guided Geometric Partitioning for Versatile Video Coding. IEEE Transactions on Image Processing. 31. 30–42. 7 indexed citations
14.
Chang, Zheng, Xinfeng Zhang, Shanshe Wang, et al.. (2021). MAU: A Motion-Aware Unit for Video Prediction and Beyond. Neural Information Processing Systems. 34. 44 indexed citations
15.
Jia, Chuanmin, et al.. (2020). Fast Non-Local Adaptive In-Loop Filter Optimization on GPU. IEEE Transactions on Multimedia. 23. 39–51. 7 indexed citations
16.
Ma, Siwei, Xinfeng Zhang, Chuanmin Jia, et al.. (2019). Image and Video Compression With Neural Networks: A Review. IEEE Transactions on Circuits and Systems for Video Technology. 30(6). 1683–1698. 310 indexed citations breakdown →
17.
Wang, Shanshe, et al.. (2019). Overview of the Second Generation AVS Video Coding Standard (AVS2). ZTE communications. 14(1). 3–11. 3 indexed citations
18.
Wang, Zhao, Shiqi Wang, Xinfeng Zhang, Shanshe Wang, & Siwei Ma. (2019). Three-Zone Segmentation-Based Motion Compensation for Video Compression. IEEE Transactions on Image Processing. 28(10). 5091–5104. 12 indexed citations
19.
Wang, Shanshe, et al.. (2018). GPU-Based Hierarchical Motion Estimation for High Efficiency Video Coding. IEEE Transactions on Multimedia. 21(4). 851–862. 21 indexed citations
20.
Wang, Shanshe, et al.. (2017). Hybrid Laplace Distribution-Based Low Complexity Rate-Distortion Optimized Quantization. IEEE Transactions on Image Processing. 26(8). 3802–3816. 22 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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