Chaoning Zhang

2.0k total citations
48 papers, 720 citations indexed

About

Chaoning Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Chaoning Zhang has authored 48 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 17 papers in Computer Vision and Pattern Recognition and 9 papers in Control and Systems Engineering. Recurrent topics in Chaoning Zhang's work include Adversarial Robustness in Machine Learning (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Privacy-Preserving Technologies in Data (8 papers). Chaoning Zhang is often cited by papers focused on Adversarial Robustness in Machine Learning (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Privacy-Preserving Technologies in Data (8 papers). Chaoning Zhang collaborates with scholars based in South Korea, China and United States. Chaoning Zhang's co-authors include In So Kweon, Philipp Benz, Jean‐Charles Bazin, Junsik Kim, François Rameau, Seokju Lee, Geng Sun, Haiyan Lu, Choong Seon Hong and Simon Joss and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chaoning Zhang

44 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoning Zhang South Korea 16 327 324 64 50 49 48 720
Guanglu Sun China 15 366 1.1× 256 0.8× 39 0.6× 61 1.2× 105 2.1× 72 789
Misha Denil United Kingdom 8 460 1.4× 329 1.0× 35 0.5× 18 0.4× 30 0.6× 13 731
Dara Bahri United States 9 344 1.1× 207 0.6× 49 0.8× 24 0.5× 63 1.3× 15 629
Faliang Huang China 13 396 1.2× 152 0.5× 32 0.5× 31 0.6× 37 0.8× 50 702
Qiao Ke China 11 168 0.5× 166 0.5× 49 0.8× 73 1.5× 80 1.6× 20 553
Adrian Popescu France 17 512 1.6× 504 1.6× 66 1.0× 27 0.5× 148 3.0× 114 1.2k
Salima Ouadfel Algeria 13 287 0.9× 200 0.6× 38 0.6× 56 1.1× 22 0.4× 27 530
Jianpeng Cheng United Kingdom 9 612 1.9× 247 0.8× 46 0.7× 16 0.3× 64 1.3× 15 881
Subrota Kumar Mondal Macao 10 258 0.8× 117 0.4× 53 0.8× 27 0.5× 46 0.9× 34 664

Countries citing papers authored by Chaoning Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoning Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoning Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoning Zhang. A scholar is included among the top collaborators of Chaoning Zhang 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 Chaoning Zhang. Chaoning Zhang 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.
2.
Zhang, Chaoning, et al.. (2025). Adapting lightweight SAM with gradient map for mirror object segmentation. Information Sciences. 720. 122479–122479.
3.
Zheng, Sheng, et al.. (2025). Transferable Targeted Adversarial Attack on Synthetic Aperture Radar (SAR) Image Recognition. Remote Sensing. 17(1). 146–146. 1 indexed citations
4.
Qiao, Yu, Huy Quang Lê, Mengchun Zhang, et al.. (2024). FedCCL: Federated dual-clustered feature contrast under domain heterogeneity. Information Fusion. 113. 102645–102645. 6 indexed citations
5.
Nguyen, Minh N. H., et al.. (2024). CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Engineering Applications of Artificial Intelligence. 133. 108093–108093. 6 indexed citations
6.
Qiao, Yu, Apurba Adhikary, Chaoning Zhang, & Choong Seon Hong. (2024). Towards Robust Federated Learning via Logits Calibration on Non-IID Data. 1–7. 3 indexed citations
7.
Ran, Ran, Jiwei Wei, Chaoning Zhang, et al.. (2024). Adaptive Multi-scale Degradation-Based Attack for Boosting the Adversarial Transferability. IEEE Transactions on Multimedia. 26. 10979–10990. 1 indexed citations
8.
9.
Nguyen, Minh N. H., et al.. (2024). FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. Neural Networks. 183. 107017–107017. 9 indexed citations
10.
Zheng, Sheng, Chaoning Zhang, & Xinhong Hao. (2024). Black-Box Targeted Adversarial Attack on Segment Anything (SAM). IEEE Transactions on Multimedia. 27. 1901–1913. 1 indexed citations
11.
Yuan, Xiaohui, et al.. (2023). Efficient deep-narrow residual networks using dilated pooling for scene recognition. Expert Systems with Applications. 234. 121018–121018. 6 indexed citations
12.
Zheng, Sheng, et al.. (2023). Towards Lightweight Deep Classification for Low-Resolution Synthetic Aperture Radar (SAR) Images: An Empirical Study. Remote Sensing. 15(13). 3312–3312. 3 indexed citations
13.
14.
Zhang, Chaoning, et al.. (2022). Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14421–14430. 24 indexed citations
15.
Benz, Philipp, Chaoning Zhang, & In So Kweon. (2021). Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7798–7807. 15 indexed citations
16.
Zhang, Chaoning, Philipp Benz, Seokju Lee, et al.. (2021). ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. 3549–3558. 99 indexed citations
17.
Zhang, Chaoning, et al.. (2021). Data-free Universal Adversarial Perturbation and Black-box Attack. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7848–7857. 40 indexed citations
18.
Zhang, Chaoning, et al.. (2020). Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. 14509–14518. 68 indexed citations
19.
Zhang, Chaoning, et al.. (2020). UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging.. Neural Information Processing Systems. 33. 10223–10234. 67 indexed citations
20.
Zhang, Chaoning, François Rameau, Seokju Lee, et al.. (2019). Revisiting Residual Networks with Nonlinear Shortcuts.. British Machine Vision Conference. 12. 13 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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