Feng Ding

1.5k total citations
49 papers, 1.0k citations indexed

About

Feng Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Feng Ding has authored 49 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Feng Ding's work include Digital Media Forensic Detection (19 papers), Generative Adversarial Networks and Image Synthesis (15 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Feng Ding is often cited by papers focused on Digital Media Forensic Detection (19 papers), Generative Adversarial Networks and Image Synthesis (15 papers) and Advanced Steganography and Watermarking Techniques (11 papers). Feng Ding collaborates with scholars based in China, United States and Japan. Feng Ding's co-authors include Keping Yu, Guopu Zhu, Zhiwei Guo, Yun-Qing Shi, Xiangjun Li, Alireza Jolfaei, Zhangyi Shen, Siwei Lyu, Pradeep K. Atrey and Mamoun Alazab and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and Information Sciences.

In The Last Decade

Feng Ding

44 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ding China 20 508 310 209 161 114 49 1.0k
Jintao Li China 16 934 1.8× 414 1.3× 89 0.4× 93 0.6× 106 0.9× 67 1.4k
Simon S. Woo South Korea 19 623 1.2× 528 1.7× 125 0.6× 170 1.1× 282 2.5× 128 1.4k
Alexander Aved United States 17 265 0.5× 376 1.2× 152 0.7× 158 1.0× 264 2.3× 78 1.1k
Lianbing Deng China 10 305 0.6× 241 0.8× 69 0.3× 134 0.8× 241 2.1× 25 802
Xuezhi Wen China 11 417 0.8× 239 0.8× 94 0.4× 68 0.4× 108 0.9× 24 839
Ch. Rupa India 17 407 0.8× 288 0.9× 119 0.6× 357 2.2× 342 3.0× 102 1.1k
Sabu M. Thampi India 18 255 0.5× 274 0.9× 142 0.7× 222 1.4× 379 3.3× 92 1.0k
Jian Yin China 17 540 1.1× 382 1.2× 87 0.4× 247 1.5× 340 3.0× 61 1.3k
Lauro Snidaro Italy 17 556 1.1× 437 1.4× 110 0.5× 54 0.3× 160 1.4× 72 1.1k

Countries citing papers authored by Feng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ding. A scholar is included among the top collaborators of Feng 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 Feng Ding. Feng 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.
Lu, Bing, Junbo Ge, Changwei Tan, et al.. (2025). A Sustainable Learning Framework: UAV-Based Oat Chlorophyll Monitoring Using Radiative Transfer Models and Deep Learning Techniques. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
2.
Ding, Feng, Guopu Zhu, Jiwu Huang, et al.. (2025). Generating Higher-Quality Anti-Forensics DeepFakes with Adversarial Sharpening Mask. ACM Transactions on Multimedia Computing Communications and Applications. 21(6). 1–18. 1 indexed citations
3.
Liu, Chunnian, et al.. (2025). Enhancing AAV-Based Industrial Systems With Cognitive IoT: Detecting AI-Manipulated Visual Data Using Graph-Based Methods. IEEE Internet of Things Journal. 12(9). 11301–11311.
4.
Jin, Jian, Feng Ding, Xinfeng Zhang, et al.. (2025). Customizable ROI-Based Deep Image Compression. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 566–578.
5.
Chen, Xiang, et al.. (2024). HA-CSD: Host and SSD Coordinated Compression for Capacity and Performance. 825–838. 3 indexed citations
6.
Wang, Xin, et al.. (2024). Preserving Fairness Generalization in Deepfake Detection. 16815–16825. 24 indexed citations
7.
8.
Wan, Zhijiang, Shichang Liu, Feng Ding, et al.. (2023). C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images. IEEE Journal of Biomedical and Health Informatics. 29(4). 2353–2364. 5 indexed citations
9.
Zhou, Yue, Bing Fan, Pradeep K. Atrey, & Feng Ding. (2023). Exposing Deepfakes using Dual-Channel Network with Multi-Axis Attention and Frequency Analysis. 169–174. 8 indexed citations
10.
Xiao-gang, Zhu, Feicheng Ma, Feng Ding, et al.. (2023). A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things. IEEE Internet of Things Journal. 11(1). 114–124. 49 indexed citations
11.
Ding, Feng, Zhangyi Shen, Guopu Zhu, et al.. (2022). ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN. IEEE Transactions on Cybernetics. 53(11). 7162–7173. 24 indexed citations
12.
Shen, Zhangyi, et al.. (2022). A Privacy-Preserving Social Computing Framework for Health Management Using Federated Learning. IEEE Transactions on Computational Social Systems. 10(4). 1666–1678. 37 indexed citations
13.
Guo, Zhiwei, Keping Yu, Alireza Jolfaei, et al.. (2022). Mixed Graph Neural Network-Based Fake News Detection for Sustainable Vehicular Social Networks. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15486–15498. 71 indexed citations
14.
Shen, Zhangyi, et al.. (2022). DeformableGAN: Generating Medical Images With Improved Integrity for Healthcare Cyber Physical Systems. IEEE Transactions on Network Science and Engineering. 10(5). 2584–2596. 30 indexed citations
15.
Zhu, Guopu, et al.. (2022). Contrast-Enhanced Color Visual Cryptography for (k, n) Threshold Schemes. ACM Transactions on Multimedia Computing Communications and Applications. 18(3s). 1–16. 3 indexed citations
16.
Ding, Feng, et al.. (2021). Anti-Forensics for Face Swapping Videos via Adversarial Training. IEEE Transactions on Multimedia. 24. 3429–3441. 101 indexed citations
17.
Guo, Zhiwei, Keping Yu, Alireza Jolfaei, Feng Ding, & Ning Zhang. (2021). Fuz-Spam: Label Smoothing-Based Fuzzy Detection of Spammers in Internet of Things. IEEE Transactions on Fuzzy Systems. 30(11). 4543–4554. 74 indexed citations
18.
Wu, Hanzhou, et al.. (2021). Linguistic Steganalysis With Graph Neural Networks. IEEE Signal Processing Letters. 28. 558–562. 34 indexed citations
19.
Ding, Feng, et al.. (2019). Real-time estimation for the parameters of Gaussian filtering via deep learning. Journal of Real-Time Image Processing. 17(1). 17–27. 23 indexed citations
20.
Zhang, Xianquan, Feng Ding, Zhenjun Tang, & Chunqiang Yu. (2014). Salt and pepper noise removal with image inpainting. AEU - International Journal of Electronics and Communications. 69(1). 307–313. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jintao Li Breakdown of academic impact, for papers by Simon S. Woo Breakdown of academic impact, for papers by Alexander Aved Breakdown of academic impact, for papers by Lianbing Deng Breakdown of academic impact, for papers by Xuezhi Wen Breakdown of academic impact, for papers by Ch. Rupa Breakdown of academic impact, for papers by Sabu M. Thampi Breakdown of academic impact, for papers by Jian Yin Breakdown of academic impact, for papers by Lauro Snidaro
Rankless by CCL
2026