Ruiqin Xiong

4.7k total citations
185 papers, 3.2k citations indexed

About

Ruiqin Xiong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Ruiqin Xiong has authored 185 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Computer Vision and Pattern Recognition, 64 papers in Signal Processing and 40 papers in Media Technology. Recurrent topics in Ruiqin Xiong's work include Advanced Image Processing Techniques (80 papers), Image and Signal Denoising Methods (63 papers) and Video Coding and Compression Technologies (57 papers). Ruiqin Xiong is often cited by papers focused on Advanced Image Processing Techniques (80 papers), Image and Signal Denoising Methods (63 papers) and Video Coding and Compression Technologies (57 papers). Ruiqin Xiong collaborates with scholars based in China, United States and Singapore. Ruiqin Xiong's co-authors include Wen Gao, Siwei Ma, Jian Zhang, Debin Zhao, Feng Wu, Jizheng Xu, Xiaopeng Fan, Xinfeng Zhang, Hangfan Liu and Chen Zhao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Ruiqin Xiong

171 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiqin Xiong China 31 2.6k 959 664 598 399 185 3.2k
Peter Schelkens Belgium 26 2.4k 0.9× 748 0.8× 155 0.2× 1.0k 1.7× 347 0.9× 323 3.1k
Marc Antonini France 20 3.2k 1.2× 1.2k 1.3× 197 0.3× 673 1.1× 157 0.4× 144 3.7k
Shahram Shirani Canada 25 1.6k 0.6× 521 0.5× 117 0.2× 590 1.0× 420 1.1× 177 2.4k
Xiaopeng Fan China 23 1.3k 0.5× 686 0.7× 319 0.5× 207 0.3× 359 0.9× 188 1.9k
Y. Altunbasak United States 33 3.9k 1.5× 1.1k 1.1× 218 0.3× 1.4k 2.4× 681 1.7× 162 4.9k
Xiaolin Wu Canada 24 1.9k 0.7× 282 0.3× 181 0.3× 824 1.4× 168 0.4× 121 2.3k
Ricardo L. de Queiroz Brazil 27 2.7k 1.0× 1.0k 1.1× 698 1.1× 335 0.6× 168 0.4× 176 3.0k
I. Kozintsev United States 18 1.3k 0.5× 475 0.5× 173 0.3× 505 0.8× 421 1.1× 49 1.9k
Jie Liang Canada 26 1.7k 0.7× 909 0.9× 112 0.2× 327 0.5× 911 2.3× 236 2.9k
S. Oraintara United States 20 808 0.3× 496 0.5× 95 0.1× 284 0.5× 126 0.3× 90 1.2k

Countries citing papers authored by Ruiqin Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Ruiqin Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiqin Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiqin Xiong. A scholar is included among the top collaborators of Ruiqin Xiong 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 Ruiqin Xiong. Ruiqin Xiong 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, Bin, et al.. (2024). Progressive Content-Aware Coded Hyperspectral Snapshot Compressive Imaging. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 10817–10830. 9 indexed citations
2.
Xiong, Ruiqin, Jing Zhao, Jian Zhang, et al.. (2024). Joint Demosaicing and Denoising for Spike Camera. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 1582–1590. 2 indexed citations
3.
Geng, Mengyue, Lizhi Wang, Lin Zhu, et al.. (2024). Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 206–223. 1 indexed citations
4.
Zhao, Jing, et al.. (2023). SVFI: Spiking-Based Video Frame Interpolation for High-Speed Motion. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2910–2918. 5 indexed citations
5.
Xiong, Ruiqin, et al.. (2023). FCNet: Learning Noise-Free Features for Point Cloud Denoising. IEEE Transactions on Circuits and Systems for Video Technology. 33(11). 6288–6301. 5 indexed citations
6.
Zhao, Jing, Ruiqin Xiong, Jian Zhang, et al.. (2023). Learning to Super-resolve Dynamic Scenes for Neuromorphic Spike Camera. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 3579–3587. 10 indexed citations
7.
Xiong, Lei, et al.. (2022). Deep Feature Compression with Collaborative Coding of Image Texture. 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 2032–2036. 1 indexed citations
8.
Zhao, Rui, et al.. (2021). MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4639–4652. 12 indexed citations
9.
Xiong, Ruiqin, et al.. (2020). Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction. IEEE Transactions on Image Processing. 29. 5374–5385. 17 indexed citations
10.
Xiong, Ruiqin, Xinfeng Zhang, Shiqi Wang, et al.. (2018). Hybrid All Zero Soft Quantized Block Detection for HEVC. IEEE Transactions on Image Processing. 27(10). 4987–5001. 14 indexed citations
11.
Liu, Zhenhua, Jizheng Xu, Xiulian Peng, & Ruiqin Xiong. (2018). Frequency-Domain Dynamic Pruning for Convolutional Neural Networks. Neural Information Processing Systems. 31. 1043–1053. 64 indexed citations
12.
Liang, Fei, Chong Luo, Ruiqin Xiong, Wenjun Zeng, & Feng Wu. (2017). Superimposed Modulation for Soft Video Delivery With Hidden Resources. IEEE Transactions on Circuits and Systems for Video Technology. 28(9). 2345–2358. 9 indexed citations
13.
Liang, Fei, Chong Luo, Ruiqin Xiong, Wenjun Zeng, & Feng Wu. (2017). Hybrid Digital–Analog Video Delivery With Shannon–Kotel’nikov Mapping. IEEE Transactions on Multimedia. 20(8). 2138–2152. 11 indexed citations
14.
Liu, Hangfan, Ruiqin Xiong, Qiang Song, Feng Wu, & Wen Gao. (2017). Image super-resolution based on adaptive joint distribution modeling. 14 indexed citations
15.
Zhao, Chen, Siwei Ma, Jian Zhang, Ruiqin Xiong, & Wen Gao. (2016). Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity. IEEE Transactions on Circuits and Systems for Video Technology. 27(6). 1182–1195. 91 indexed citations
16.
Li, Jiahao, Bin Li, Jizheng Xu, & Ruiqin Xiong. (2016). Multiple Line-based Intra Prediction for High Efficiency Video Coding.. arXiv (Cornell University). 1 indexed citations
17.
Liu, Hangfan, Xinfeng Zhang, & Ruiqin Xiong. (2016). Content-adaptive low rank regularization for image denoising. 10 indexed citations
18.
Liu, Hongbin, Ruiqin Xiong, Debin Zhao, Siwei Ma, & Wen Gao. (2012). Multiple Hypotheses Bayesian Frame Rate Up-Conversion by Adaptive Fusion of Motion-Compensated Interpolations. IEEE Transactions on Circuits and Systems for Video Technology. 22(8). 1188–1198. 54 indexed citations
19.
Fan, Xiaopeng, Ruiqin Xiong, Feng Wu, & Debin Zhao. (2012). WaveCast: Wavelet based wireless video broadcast using lossy transmission. 1–6. 49 indexed citations
20.
Xiong, Ruiqin, Feng Wu, Jizheng Xu, Shipeng Li, & Ya-Qin Zhang. (2004). Barbell lifting wavelet transform for highly scalable video coding. 23 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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