Xiaopeng Fan

2.9k total citations
188 papers, 1.9k citations indexed

About

Xiaopeng Fan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computational Mechanics. According to data from OpenAlex, Xiaopeng Fan has authored 188 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Computer Vision and Pattern Recognition, 77 papers in Signal Processing and 32 papers in Computational Mechanics. Recurrent topics in Xiaopeng Fan's work include Video Coding and Compression Technologies (65 papers), Advanced Image Processing Techniques (52 papers) and Advanced Vision and Imaging (44 papers). Xiaopeng Fan is often cited by papers focused on Video Coding and Compression Technologies (65 papers), Advanced Image Processing Techniques (52 papers) and Advanced Vision and Imaging (44 papers). Xiaopeng Fan collaborates with scholars based in China, Hong Kong and United States. Xiaopeng Fan's co-authors include Debin Zhao, Ruiqin Xiong, Wen Gao, Siwei Ma, Oscar C. Au, Feng Wu, Wen Gao, Mengyao Ma, Jian Zhang and Xinfeng Zhang and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Xiaopeng Fan

160 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaopeng Fan China 23 1.3k 686 359 319 207 188 1.9k
Jar‐Ferr Yang Taiwan 22 1.4k 1.0× 1.5k 2.2× 236 0.7× 260 0.8× 130 0.6× 182 2.3k
Xuemei Xie China 20 981 0.7× 304 0.4× 272 0.8× 256 0.8× 293 1.4× 141 1.6k
Feng Dai China 17 1.4k 1.1× 467 0.7× 125 0.3× 281 0.9× 238 1.1× 60 1.8k
André Kaup Germany 25 2.7k 2.0× 1.1k 1.6× 190 0.5× 186 0.6× 435 2.1× 363 3.1k
T.P. Barnwell United States 19 1.3k 0.9× 1.3k 2.0× 239 0.7× 355 1.1× 103 0.5× 117 1.8k
Fréderic Dufaux France 30 3.3k 2.5× 1.2k 1.7× 397 1.1× 188 0.6× 627 3.0× 187 3.7k
Shanshe Wang China 26 2.3k 1.7× 1.2k 1.7× 103 0.3× 136 0.4× 172 0.8× 166 2.6k
Nam Ling United States 30 2.1k 1.5× 1.1k 1.7× 149 0.4× 81 0.3× 348 1.7× 238 2.4k
Ricardo L. de Queiroz Brazil 27 2.7k 2.0× 1.0k 1.5× 168 0.5× 698 2.2× 335 1.6× 176 3.0k

Countries citing papers authored by Xiaopeng Fan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaopeng Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Fan. A scholar is included among the top collaborators of Xiaopeng Fan 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 Xiaopeng Fan. Xiaopeng Fan 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.
Liu, Longfei, et al.. (2025). Predicting mortality risk in the intensive care unit using a Hierarchical Inception Network for heterogeneous time series. Biomedical Signal Processing and Control. 107. 107759–107759. 1 indexed citations
2.
Wang, Penghong, et al.. (2025). Multi-Timescale Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 35(11). 10772–10786.
3.
Li, Zhiyang, et al.. (2025). No-Reference Stereoscopic Omnidirectional Image Quality Assessment via a Binocular Viewport Hypergraph Convolutional Network. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 7196–7209. 1 indexed citations
4.
Wang, Meng, et al.. (2025). Learning the Scale in Reference Picture Resampling for Versatile Video Coding. IEEE Transactions on Multimedia. 27. 5831–5842.
5.
Тalalay, Pavel G., German Leitchenkov, V. Lipenkov, et al.. (2025). Rare ice-base temperature measurements in Antarctica reveal a cold base in contrast with predictions. Communications Earth & Environment. 6(1).
6.
Lyu, Chao, et al.. (2025). PolarBEVU: Multi-Camera 3D Object Detection in Polar Bird’s-Eye View via Unprojection. IEEE Transactions on Circuits and Systems for Video Technology. 35(8). 8016–8030. 1 indexed citations
7.
Тalalay, Pavel G. & Xiaopeng Fan. (2024). Alternative clean approaches to accessing subglacial Lake Vostok. 70(4). 499–513.
8.
Fan, Xiaopeng, et al.. (2024). Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–22. 3 indexed citations
9.
Fan, Xiaopeng, et al.. (2024). Enhancing No-Reference Audio-Visual Quality Assessment via Joint Cross-Attention Fusion. IEEE Signal Processing Letters. 32. 556–560. 1 indexed citations
10.
Li, Zhiyang, et al.. (2024). Dual-stream Perception-driven Blind Quality Assessment for Stereoscopic Omnidirectional Images. 10431–10439. 1 indexed citations
11.
Liao, Liang, et al.. (2024). Continual Learning of No-Reference Image Quality Assessment With Channel Modulation Kernel. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13029–13043.
12.
Li, Nuo, Bin Guo, Yan Liu, et al.. (2024). Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations. Information Processing & Management. 61(3). 103641–103641. 8 indexed citations
13.
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
14.
Chen, Zhixiong, Ruiquan Ge, Changmiao Wang, et al.. (2024). Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm. Mammalian Genome. 35(2). 241–255. 1 indexed citations
15.
Fan, Xiaopeng, et al.. (2023). The Style Transformer With Common Knowledge Optimization for Image-Text Retrieval. IEEE Signal Processing Letters. 30. 1197–1201. 7 indexed citations
16.
Deng, Liang-Jian, et al.. (2023). Reservoir Computing Transformer for Image-Text Retrieval. 5605–5613. 8 indexed citations
17.
Zhao, Xi-Le, et al.. (2023). Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. 3994–4002. 11 indexed citations
18.
Fan, Xiaopeng, et al.. (2023). Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks. Entropy. 25(6). 836–836. 3 indexed citations
19.
Liu, Ruyi, et al.. (2022). ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptides. Computers in Biology and Medicine. 145. 105459–105459. 21 indexed citations
20.
Zhao, Wenbo, Xianming Liu, Shiqi Wang, Xiaopeng Fan, & Debin Zhao. (2019). Graph-Based Feature-Preserving Mesh Normal Filtering. IEEE Transactions on Visualization and Computer Graphics. 27(3). 1937–1952. 20 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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