Xiaogang Xu

1.4k total citations · 1 hit paper
32 papers, 768 citations indexed

About

Xiaogang Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Xiaogang Xu has authored 32 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Xiaogang Xu's work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (5 papers). Xiaogang Xu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Vision and Imaging (7 papers) and Advanced Image Processing Techniques (5 papers). Xiaogang Xu collaborates with scholars based in China, Hong Kong and United States. Xiaogang Xu's co-authors include Jiaya Jia, Chi‐Wing Fu, Ruixing Wang, Xiamu Niu, Xiaotong Wang, Ying-Cong Chen, Huan Zhao, Dik Lun Lee, Yangqiu Song and Bei Yu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Xiaogang Xu

29 papers receiving 744 citations

Hit Papers

SNR-Aware Low-light Image Enhancement 2022 2026 2023 2024 2022 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
Xiaogang Xu China 13 606 163 80 43 37 32 768
Keyan Ding China 7 655 1.1× 261 1.6× 78 1.0× 29 0.7× 21 0.6× 23 906
Liangyu Chen China 12 522 0.9× 209 1.3× 192 2.4× 11 0.3× 11 0.3× 61 818
Boyun Li China 6 781 1.3× 282 1.7× 224 2.8× 20 0.5× 10 0.3× 9 919
Nina S. T. Hirata Brazil 11 369 0.6× 62 0.4× 191 2.4× 14 0.3× 7 0.2× 67 586
Abderrahim Saaidi Morocco 17 595 1.0× 100 0.6× 107 1.3× 45 1.0× 34 0.9× 71 694
Patrick Hanrahan United States 12 540 0.9× 157 1.0× 85 1.1× 126 2.9× 17 0.5× 23 891
Florence Bénézit Switzerland 8 317 0.5× 100 0.6× 107 1.3× 14 0.3× 61 1.6× 9 724
Chi-Jen Lu Taiwan 12 448 0.7× 42 0.3× 291 3.6× 25 0.6× 7 0.2× 39 794
Chuying Yu China 14 373 0.6× 55 0.3× 105 1.3× 6 0.1× 13 0.4× 25 769
Jiaming Liu China 13 261 0.4× 62 0.4× 95 1.2× 10 0.2× 50 1.4× 37 518

Countries citing papers authored by Xiaogang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaogang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaogang Xu. A scholar is included among the top collaborators of Xiaogang Xu 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 Xiaogang Xu. Xiaogang Xu 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.
Xu, Xiaogang, et al.. (2025). Enhancing user intent for recommendation systems via large language models. 30–30. 6 indexed citations
2.
Whitehead, Hal, et al.. (2025). Composite likelihood inference for analysis of individual animal identification data. Ecological Informatics. 90. 103298–103298.
3.
Yu, Peiyang, et al.. (2025). The application of large language models in recommendation systems. 31–31. 1 indexed citations
4.
Li, Xinyu, et al.. (2024). Self-supervised single-image 3D face reconstruction method based on attention mechanism and attribute refinement. The Visual Computer. 41(1). 209–227. 3 indexed citations
5.
Tang, Jiaqi, et al.. (2024). Learning to Remove Wrinkled Transparent Film with Polarized Prior. 24987–24996. 1 indexed citations
6.
Zhang, Chiyu, et al.. (2024). S2WAT: Image Style Transfer via Hierarchical Vision Transformer Using Strips Window Attention. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7024–7032. 7 indexed citations
7.
Xu, Xiaogang, et al.. (2023). Lighting up NeRF via Unsupervised Decomposition and Enhancement. 12598–12607. 20 indexed citations
8.
Xu, Xiaogang, Ruixing Wang, Chi‐Wing Fu, & Jiaya Jia. (2022). SNR-Aware Low-light Image Enhancement. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17693–17703. 306 indexed citations breakdown →
9.
Xu, Xiaogang & Ning Xu. (2022). Hierarchical Image Generation via Transformer-Based Sequential Patch Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 36(3). 2938–2945. 6 indexed citations
10.
Wang, Ruixing, Xiaogang Xu, Chi‐Wing Fu, et al.. (2021). Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 9680–9689. 67 indexed citations
11.
Xu, Xiaogang, Ying-Cong Chen, Xin Tao, & Jiaya Jia. (2021). Text-Guided Human Image Manipulation via Image-Text Shared Space. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(10). 6486–6500. 8 indexed citations
12.
Liu, Yaxin, Xiaoyan Zhang, & Xiaogang Xu. (2021). Semantic-Aware Video Style Transfer Based on Temporal Consistent Sparse Patch Constraint. 1–6. 2 indexed citations
13.
Zhang, Yiyi, et al.. (2021). Visual Chirality Meets Freehand Sketches. 1544–1548. 3 indexed citations
14.
Chen, Ying-Cong, Xiaogang Xu, & Jiaya Jia. (2020). Domain Adaptive Image-to-Image Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 24 indexed citations
15.
Xu, Xiaogang, Ying-Cong Chen, & Jiaya Jia. (2019). View Independent Generative Adversarial Network for Novel View Synthesis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7790–7799. 14 indexed citations
16.
Chen, Ying-Cong, Xiaogang Xu, Zhuotao Tian, & Jiaya Jia. (2019). Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2403–2411. 29 indexed citations
17.
Zhao, Huan, et al.. (2019). Ranking Users in Social Networks with Motif-based PageRank. IEEE Transactions on Knowledge and Data Engineering. 1–1. 33 indexed citations
18.
Xu, Xiaogang, et al.. (2017). No‐reference stereoscopic image quality assessment based on saliency‐guided binocular feature consolidation. Electronics Letters. 53(22). 1468–1470. 16 indexed citations
19.
Xu, Guanlei, et al.. (2016). Low Visibility Weather Recognition via SVM and Decision Tree in Single Image. 1 indexed citations
20.
Wang, Xiaotong, et al.. (2007). Reversible Data-Hiding Scheme for 2-D Vector Maps Based on Difference Expansion. IEEE Transactions on Information Forensics and Security. 2(3). 311–320. 90 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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