Ming Ding

15.1k total citations · 13 hit papers
236 papers, 9.3k citations indexed

About

Ming Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ming Ding has authored 236 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Electrical and Electronic Engineering, 93 papers in Computer Networks and Communications and 77 papers in Artificial Intelligence. Recurrent topics in Ming Ding's work include Advanced MIMO Systems Optimization (73 papers), Privacy-Preserving Technologies in Data (62 papers) and Cooperative Communication and Network Coding (51 papers). Ming Ding is often cited by papers focused on Advanced MIMO Systems Optimization (73 papers), Privacy-Preserving Technologies in Data (62 papers) and Cooperative Communication and Network Coding (51 papers). Ming Ding collaborates with scholars based in Australia, China and United States. Ming Ding's co-authors include Jun Li, Dinh C. Nguyen, Pubudu N. Pathirana, Aruna Seneviratne, H. Vincent Poor, Chuan Ma, Kang Wei, Zihuai Lin, Mahbub Hassan and Farhad Farokhi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Proceedings of the IEEE.

In The Last Decade

Ming Ding

216 papers receiving 9.0k citations

Hit Papers

Federated Learning With Differential Privacy: Algorithms ... 2019 2026 2021 2023 2020 2021 2019 2022 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Federated Learning With Differential Privacy: Algorithms and Performance Analysis
    2020 1.4k citations Kang Wei, Jun Li et al. IEEE Transactions on Information Forensics and Security profile →
  2. 6G Internet of Things: A Comprehensive Survey
    2021 838 citations Ming Ding, Jun Li et al. profile →
  3. Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges
    2019 758 citations Ming Ding et al. profile →
  4. Federated Learning for Smart Healthcare: A Survey
    2022 404 citations Ming Ding, Zihuai Lin et al. profile →
  5. Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems
    2019 368 citations Ming Ding et al. profile →
  6. The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car
    2019 262 citations Ming Ding, David B. Smith et al. IEEE Vehicular Technology Magazine profile →
  7. Blockchain for 5G and beyond networks: A state of the art survey
    2020 250 citations Ming Ding et al. profile →
  8. Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning
    2020 230 citations Ming Ding et al. profile →
  9. When Machine Learning Meets Privacy
    2021 227 citations Bo Liu, Ming Ding et al. profile →
  10. User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
    2021 180 citations Kang Wei, Jun Li et al. profile →
  11. Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
    2021 164 citations Jun Li, Kang Wei et al. profile →
  12. Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
    2023 119 citations Ming Ding et al. profile →
  13. Personalized Federated Learning With Differential Privacy and Convergence Guarantee
    2023 97 citations Kang Wei, Jun Li et al. IEEE Transactions on Information Forensics and Security profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ding Australia 41 3.8k 3.2k 3.1k 1.9k 1.8k 236 9.3k
Dinh Thai Hoang Australia 42 2.7k 0.7× 4.8k 1.5× 5.4k 1.7× 1.3k 0.7× 2.6k 1.5× 203 11.1k
Tom H. Luan China 51 2.6k 0.7× 3.4k 1.1× 4.5k 1.4× 778 0.4× 2.4k 1.3× 254 8.9k
Zhaolong Ning China 55 2.0k 0.5× 4.1k 1.3× 6.2k 2.0× 939 0.5× 2.3k 1.3× 210 10.0k
Ju Ren China 55 2.9k 0.8× 2.7k 0.8× 4.8k 1.5× 464 0.2× 2.4k 1.3× 242 9.0k
Depeng Jin China 50 2.5k 0.7× 4.5k 1.4× 4.8k 1.5× 618 0.3× 2.7k 1.5× 405 11.3k
Choong Seon Hong South Korea 53 3.4k 0.9× 6.9k 2.2× 8.9k 2.8× 1.9k 1.0× 2.4k 1.3× 772 15.2k
Mingzhe Chen China 44 4.0k 1.1× 7.3k 2.3× 4.8k 1.5× 3.1k 1.6× 573 0.3× 214 12.2k
Anfeng Liu China 65 2.4k 0.6× 4.9k 1.5× 9.0k 2.9× 1.2k 0.7× 2.0k 1.1× 349 12.9k
Hongbo Jiang China 49 1.5k 0.4× 3.0k 0.9× 3.6k 1.1× 892 0.5× 1.3k 0.7× 341 7.9k
Lei Guo China 47 1.4k 0.4× 2.3k 0.7× 4.3k 1.4× 903 0.5× 1.3k 0.7× 286 7.2k

Countries citing papers authored by Ming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ding. A scholar is included among the top collaborators of Ming 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 Ming Ding. Ming 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.
2.
Yu, Hao, Chuan Ma, Meng Liu, et al.. (2025). G 2 uardFL: Safeguarding Federated Learning Against Backdoor Attacks via Attributed Client Graph Clustering. IEEE Transactions on Information Forensics and Security. 21. 516–531. 1 indexed citations
3.
Ding, Ming, et al.. (2024). Trusted data sharing for mineral exploration and mining tenements. Journal of Geochemical Exploration. 267. 107580–107580. 2 indexed citations
4.
Zhao, Yuan, Bo Liu, Tianqing Zhu, Ming Ding, & Wanlei Zhou. (2024). ROSIN: Robust Semantic Image Hiding Network. Knowledge-Based Systems. 309. 112885–112885.
5.
Zhang, Junming, et al.. (2024). CFD investigation on start-up transient of HPR1000 secondary side passive residual heat removal heat exchanger. Annals of Nuclear Energy. 206. 110673–110673.
6.
Xu, Jian, Ming Ding, Tan Yu, et al.. (2024). Dynamic Thresholding Fully Automated sea ice extraction and classification methods based on multi-source remote-sensing data in the Yellow sea and Bohai sea regions. Advances in Space Research. 74(5). 2092–2116. 1 indexed citations
7.
Liu, Dong, et al.. (2024). Effect of containment spray system on fission product release during large break loss of coolant accident in two-loop small PWR. Annals of Nuclear Energy. 207. 110683–110683. 1 indexed citations
8.
9.
Liu, Baoping, Bo Liu, Ming Ding, & Tianqing Zhu. (2024). Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance. 1–6.
10.
Li, Jun, et al.. (2024). Communication-Efficient Model Aggregation With Layer Divergence Feedback in Federated Learning. IEEE Communications Letters. 28(10). 2293–2297. 2 indexed citations
11.
Li, Conggai, Wei Ni, Ming Ding, et al.. (2024). Decentralized Privacy Preservation for Critical Connections in Graphs. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5911–5925.
12.
Liu, Baoping, Bo Liu, Ming Ding, Tianqing Zhu, & Xin Yu. (2023). TI2Net: Temporal Identity Inconsistency Network for Deepfake Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4680–4689. 26 indexed citations
13.
Han, Zhaoyang, Chuan Ma, Ming Ding, et al.. (2023). Vertical Federated Unlearning on the Logistic Regression Model. Electronics. 12(14). 3182–3182. 7 indexed citations
14.
Wei, Kang, Jun Li, Chuan Ma, et al.. (2023). Personalized Federated Learning With Differential Privacy and Convergence Guarantee. IEEE Transactions on Information Forensics and Security. 18. 4488–4503. 97 indexed citations breakdown →
15.
Wei, Kang, Jun Li, Chuan Ma, et al.. (2021). Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. IEEE Journal on Selected Areas in Communications. 40(1). 290–307. 79 indexed citations
16.
Chen, Youjia, et al.. (2021). A Data-Driven Base Station Sleeping Strategy Based on Traffic Prediction. IEEE Transactions on Network Science and Engineering. 11(6). 5627–5643. 45 indexed citations
17.
Durrani, Salman, et al.. (2020). Uplink NOMA for Cellular-Connected UAV: Impact of UAV Trajectories and Altitude. IEEE Transactions on Communications. 68(8). 5242–5258. 46 indexed citations
18.
Shaham, Sina, Ming Ding, Bo Liu, et al.. (2020). Privacy Preserving Location Data Publishing: A Machine Learning Approach. IEEE Transactions on Knowledge and Data Engineering. 33(9). 3270–3283. 47 indexed citations
19.
Wang, Peng, et al.. (2019). Machine Learning Based Signal Detection for Ambient Backscatter Communications. 1–6. 23 indexed citations
20.
Ding, Ming, et al.. (2019). The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car. IEEE Vehicular Technology Magazine. 14(2). 103–111. 262 indexed citations breakdown →

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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