Xingxing Wei

3.4k total citations · 3 hit papers
55 papers, 1.7k citations indexed

About

Xingxing Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Xingxing Wei has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 25 papers in Artificial Intelligence and 10 papers in Media Technology. Recurrent topics in Xingxing Wei's work include Adversarial Robustness in Machine Learning (24 papers), Anomaly Detection Techniques and Applications (17 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Xingxing Wei is often cited by papers focused on Adversarial Robustness in Machine Learning (24 papers), Anomaly Detection Techniques and Applications (17 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Xingxing Wei collaborates with scholars based in China, Singapore and United States. Xingxing Wei's co-authors include Xiaochun Cao, Xiaojie Guo, Ling Du, Dan Meng, Huazhu Fu, Yupeng Cheng, Jiangjian Xiao, Ying Guo, Xiaoyang Xie and Bo Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.

In The Last Decade

Xingxing Wei

51 papers receiving 1.7k citations

Hit Papers

High Capacity Reversible Data Hiding in Encrypted Images ... 2015 2026 2018 2022 2015 2024 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingxing Wei China 21 1.1k 641 233 205 146 55 1.7k
Stefan Popov United States 12 1.4k 1.3× 645 1.0× 109 0.5× 103 0.5× 116 0.8× 15 2.0k
Yuewei Dai China 21 1.0k 0.9× 668 1.0× 157 0.7× 242 1.2× 165 1.1× 134 1.9k
Yong Luo China 22 1.2k 1.1× 1.0k 1.6× 69 0.3× 311 1.5× 123 0.8× 116 2.1k
Hanting Chen China 15 1.6k 1.4× 520 0.8× 91 0.4× 625 3.0× 67 0.5× 28 2.2k
Matthew Johnson United States 12 776 0.7× 357 0.6× 76 0.3× 103 0.5× 60 0.4× 37 1.2k
Feng Dai China 17 1.4k 1.3× 249 0.4× 94 0.4× 238 1.2× 467 3.2× 60 1.8k
Changqing Zou China 20 959 0.9× 497 0.8× 104 0.4× 59 0.3× 55 0.4× 63 1.5k
Yao Lu China 21 651 0.6× 390 0.6× 57 0.2× 345 1.7× 152 1.0× 94 1.3k
Adrian G. Borş United Kingdom 25 1.2k 1.1× 522 0.8× 66 0.3× 99 0.5× 239 1.6× 130 1.8k
Yuandong Tian United States 20 1.4k 1.2× 888 1.4× 85 0.4× 104 0.5× 81 0.6× 47 1.9k

Countries citing papers authored by Xingxing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xingxing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxing Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xingxing Wei. A scholar is included among the top collaborators of Xingxing Wei 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 Xingxing Wei. Xingxing Wei 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.
Wei, Xingxing, et al.. (2025). Distributionally Location-Aware Transferable Adversarial Patches for Facial Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4). 2849–2864. 1 indexed citations
2.
Wang, Jiayi, et al.. (2025). UniRGB-IR: A Unified Framework for Visible-Infrared Semantic Tasks via Adapter Tuning. 2409–2418. 2 indexed citations
3.
Li, Mengwei, et al.. (2025). Diverse Visible-to-Thermal Image Translation via Controllable Temperature Encoding. IEEE Transactions on Multimedia. 27. 5685–5695.
4.
Wei, Xingxing, et al.. (2025). Removal Then Selection: A Coarse-to-Fine Fusion Perspective for RGB-Infrared Object Detection. IEEE Transactions on Intelligent Transportation Systems. 27(2). 2504–2519.
5.
Jia, Xiaojun, Yong Zhang, Xingxing Wei, et al.. (2024). Improving Fast Adversarial Training With Prior-Guided Knowledge. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6367–6383. 18 indexed citations
7.
Wang, Yinyan, et al.. (2024). Improving RGB-infrared object detection with cascade alignment-guided transformer. Information Fusion. 105. 102246–102246. 56 indexed citations breakdown →
8.
Wei, Xingxing, et al.. (2024). MIAD-MARK: Adversarial Watermarking of Medical Image for Protecting Copyright and Privacy. 3842–3845. 2 indexed citations
9.
Li, Mengwei, et al.. (2024). Patch Grid-Based Quality Assessment for Aerial Visible-to-Infrared Image Translation. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations
10.
Li, Bo, et al.. (2024). Classification Committee for Active Deep Object Detection. IEEE Transactions on Multimedia. 27. 1277–1288.
11.
Wang, Xizhe, et al.. (2024). Mitigating Accuracy-Robustness Trade-Off via Balanced Multi-Teacher Adversarial Distillation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 9338–9352. 3 indexed citations
12.
Dong, Yinpeng, et al.. (2024). Towards Transferable Targeted 3D Adversarial Attack in the Physical World. 24512–24522. 5 indexed citations
13.
Wei, Xingxing, et al.. (2023). Adversarial pan-sharpening attacks for object detection in remote sensing. Pattern Recognition. 139. 109466–109466. 24 indexed citations
14.
Wei, Xingxing, et al.. (2023). A 2 SC: Adversarial Attacks on Subspace Clustering. ACM Transactions on Multimedia Computing Communications and Applications. 19(6). 1–23. 3 indexed citations
15.
Wang, Hui & Xingxing Wei. (2023). Stochastic Simulation of Soil Stratigraphic Profile Using Image Warping. 48. 12–24. 1 indexed citations
16.
Wei, Xingxing, et al.. (2023). Unified Adversarial Patch for Cross-modal Attacks in the Physical World. 4422–4431. 14 indexed citations
17.
Wang, Nan, et al.. (2020). Ship Detection in Spaceborne Infrared Image Based on Lightweight CNN and Multisource Feature Cascade Decision. IEEE Transactions on Geoscience and Remote Sensing. 59(5). 4324–4339. 67 indexed citations
18.
Han, Yahong, Xingxing Wei, Xiaochun Cao, Yi Yang, & Xiaofang Zhou. (2014). Augmenting Image Descriptions Using <newline/>Structured Prediction Output. IEEE Transactions on Multimedia. 16(6). 1665–1676. 14 indexed citations
19.
Cao, Xiaochun, Xingxing Wei, Yahong Han, & Xiaowu Chen. (2014). An Object-Level High-Order Contextual Descriptor Based on Semantic, Spatial, and Scale Cues. IEEE Transactions on Cybernetics. 45(7). 1327–1339. 12 indexed citations
20.
Cao, Xiaochun, Xingxing Wei, Yahong Han, Yi Yang, & Dongdai Lin. (2013). Robust Tensor Clustering with Non-Greedy Maximization. Queensland's institutional digital repository (The University of Queensland). 11 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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