Ming Ding
Impact in
- Artificial Intelligence top 0.1%
- Privacy-Preserving Technologies in Data
- Computer Networks and Communications top 0.5%
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
-
- Privacy-Preserving Technologies in Data 70
-
- IoT and Edge/Fog Computing 21
- Co-authors
- Dinh C. Nguyen (22 shared papers)Jun Li (49 shared papers)Aruna Prasad Seneviratne (20 shared papers)Pubudu Nishantha Pathirana (20 shared papers)H. Vincent Poor (23 shared papers)Kang Wei (23 shared papers)Zihuai Lin (53 shared papers)Mahbub Hassan (18 shared papers)
- Journals
- IEEE Transactions on Vehicular Technology (16 papers)IEEE Internet of Things Journal (10 papers)IEEE Access (8 papers)IEEE Transactions on Wireless Communications (7 papers)IEEE Communications Letters (7 papers)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Ming Ding
246 papers receiving 12.3k citations
Ming Ding's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 4.6k
- Computer Networks and Communications 2.5k
- Aerospace Engineering 2k
- Information Systems 2k
- Electrical and Electronic Engineering 2.5k
Countries citing papers authored by Ming Ding
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
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-authors
The 25 scholars most cited alongside Ming Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 260 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated Learning With Differential Privacy: Algorithms and Performance Analysis Hit paper breakdown → | 2020 | 1742 |
| 2 | 6G Internet of Things: A Comprehensive Survey Hit paper breakdown → | 2021 | 1049 |
| 3 | Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges Hit paper breakdown → | 2019 | 861 |
| 4 | Federated Learning for Smart Healthcare: A Survey Hit paper breakdown → | 2022 | 551 |
| 5 | Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Hit paper breakdown → | 2021 | 492 |
| 6 | Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems Hit paper breakdown → | 2019 | 452 |
| 7 | 2019 | 314 | |
| 8 | Blockchain for 5G and beyond networks: A state of the art survey Hit paper breakdown → | 2020 | 314 |
| 9 | When Machine Learning Meets Privacy Hit paper breakdown → | 2021 | 292 |
| 10 | Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning Hit paper breakdown → | 2020 | 265 |
| 11 | 2020 | 252 | |
| 12 | User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Hit paper breakdown → | 2021 | 223 |
| 13 | 2021 | 193 | |
| 14 | Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey Hit paper breakdown → | 2021 | 177 |
| 15 | Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives Hit paper breakdown → | 2023 | 174 |
| 16 | 2020 | 170 | |
| 17 | 2022 | 159 | |
| 18 | 2021 | 146 | |
| 19 | MixGCF Hit paper breakdown → | 2021 | 145 |
| 20 | Personalized Federated Learning With Differential Privacy and Convergence Guarantee Hit paper breakdown → | 2023 | 142 |
About Ming Ding
Ming Ding is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 260 papers that have together received 12.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (70 papers), Advanced MIMO Systems Optimization (47 papers), UAV Applications and Optimization (31 papers), Millimeter-Wave Propagation and Modeling (21 papers), IoT and Edge/Fog Computing (21 papers), Advanced Wireless Network Optimization (12 papers), Digital Media Forensic Detection (11 papers) and Advanced Wireless Communication Technologies (11 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Computer Networks and Communications (2.5k citations), Aerospace Engineering (2k citations), Information Systems (2k citations) and Electrical and Electronic Engineering (2.5k citations). Ming Ding has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Dinh C. Nguyen, Jun Li, Aruna Prasad Seneviratne, Pubudu Nishantha Pathirana, H. Vincent Poor, Kang Wei, Zihuai Lin, Mahbub Hassan, Chuan Ma and Farhad Farokhi. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Access, IEEE Transactions on Wireless Communications and IEEE Communications Letters.
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.