Wenrui Ding

2.0k total citations
87 papers, 1.2k citations indexed

About

Wenrui Ding is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Wenrui Ding has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 33 papers in Aerospace Engineering and 30 papers in Artificial Intelligence. Recurrent topics in Wenrui Ding's work include Advanced Neural Network Applications (18 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Image Fusion Techniques (12 papers). Wenrui Ding is often cited by papers focused on Advanced Neural Network Applications (18 papers), Video Surveillance and Tracking Methods (14 papers) and Advanced Image Fusion Techniques (12 papers). Wenrui Ding collaborates with scholars based in China, United States and Australia. Wenrui Ding's co-authors include Hongguang Li, Yue Qi, Baochang Zhang, Yufeng Wang, Chunlei Liu, Yü Liu, Nikos Deligiannis, Duc Minh Nguyen, Adrian Munteanu and Baochang Zhang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Wenrui Ding

74 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenrui Ding China 16 600 444 360 299 161 87 1.2k
Amit Banerjee United States 18 414 0.7× 618 1.4× 172 0.5× 252 0.8× 253 1.6× 75 1.4k
Tan Guo China 20 334 0.6× 514 1.2× 141 0.4× 279 0.9× 280 1.7× 63 1.4k
Rui Song China 24 992 1.7× 906 2.0× 155 0.4× 281 0.9× 63 0.4× 95 1.7k
Reid Porter United States 14 1.3k 2.1× 247 0.6× 802 2.2× 288 1.0× 47 0.3× 52 1.8k
Yufeng Wang China 15 299 0.5× 132 0.3× 184 0.5× 164 0.5× 202 1.3× 101 874
Mingyang Zhang China 27 515 0.9× 1.1k 2.5× 142 0.4× 512 1.7× 109 0.7× 118 2.0k
Heesung Kwon United States 19 647 1.1× 1.4k 3.1× 352 1.0× 381 1.3× 66 0.4× 106 2.0k
Kuo‐Liang Chung Taiwan 22 1.7k 2.9× 299 0.7× 113 0.3× 225 0.8× 82 0.5× 173 2.2k
Yang Xu China 19 478 0.8× 975 2.2× 129 0.4× 290 1.0× 45 0.3× 121 1.5k

Countries citing papers authored by Wenrui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Wenrui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenrui Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Wenrui Ding. A scholar is included among the top collaborators of Wenrui Ding 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 Wenrui Ding. Wenrui Ding 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.
Ding, Wenrui, et al.. (2025). A Scale-Independent Multi Agent Deep Reinforcement Learning Framework for Wireless Resource Allocation in UAV-Based Logistics Networks. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 12334–12349.
2.
3.
Ding, Wenrui, et al.. (2025). APDMs: Adversarial purification diffusion models for automatic modulation classification. Signal Processing. 239. 110249–110249.
4.
Yuan, Song, et al.. (2025). Arch-Net: Model conversion and quantization for architecture agnostic model deployment. Neural Networks. 187. 107384–107384.
5.
Wang, Yufeng, et al.. (2025). Graph Structure Refinement with Energy-based Contrastive Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(21). 22326–22335.
6.
7.
Zhang, Zhilan, et al.. (2024). Iterative Trajectory Planning and Resource Allocation for UAV-Assisted Emergency Communication with User Dynamics. Drones. 8(4). 149–149. 1 indexed citations
8.
Lu, Yuanyao, et al.. (2024). Knowledge Embedding Networks Based on Deep Learning for Automatic Modulation Classification in Cognitive Radio. IEEE Transactions on Communications. 72(12). 7814–7825. 1 indexed citations
9.
Ding, Wenrui, et al.. (2024). Reasonable Anomaly Detection Based on Long-Term Sequence Modeling. IEEE Transactions on Circuits and Systems for Video Technology. 34(11). 10764–10778.
10.
Ding, Wenrui, et al.. (2023). Multiclass Support Vector Data Description in Extreme Learning Machine Feature Space. Journal of Physics Conference Series. 2504(1). 12001–12001. 1 indexed citations
11.
Lu, Yuanyao, et al.. (2023). Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication. Pattern Recognition. 137. 109345–109345. 23 indexed citations
12.
Liu, Chunlei, Wenrui Ding, Bohan Zhuang, et al.. (2022). RB-Net: Training Highly Accurate and Efficient Binary Neural Networks With Reshaped Point-Wise Convolution and Balanced Activation. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6414–6424. 22 indexed citations
13.
Ding, Wenrui, et al.. (2020). Learning modulation filter networks for weak signal detection in noise. Pattern Recognition. 109. 107590–107590. 14 indexed citations
14.
Cheng, Tao, et al.. (2019). Weak Signal Detection Based on Deep Learning. 114–118. 5 indexed citations
15.
Wang, Yufeng, Wenrui Ding, Baochang Zhang, Hongguang Li, & Shuo Liu. (2019). Superpixel Labeling Priors and MRF for Aerial Video Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 30(8). 2590–2603. 9 indexed citations
16.
Huang, Yuqing, et al.. (2017). Haze removal method for UAV reconnaissance images based on image enhancement. Beijing Hangkong Hangtian Daxue xuebao. 43(3). 592. 5 indexed citations
17.
Ding, Wenrui, et al.. (2017). A channel selection and power control method of UAV data link. Beijing Hangkong Hangtian Daxue xuebao. 43(3). 583. 3 indexed citations
18.
Ding, Wenrui, et al.. (2013). Multi-information Based Safe Area Step Selection Algorithm for UAV’s Emergency Forced Landing. Journal of Software. 8(4). 5 indexed citations
19.
Wang, Jiaxing, et al.. (2012). Design of UAV ground auxiliary warning system based on data mining. 3. 1–4. 1 indexed citations
20.
Ding, Wenrui, et al.. (2008). Image and video quality assessment using neural network and SVM. Tsinghua Science & Technology. 13(1). 112–116. 10 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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