Ming Ding

15.7k citations
238 papers · 9.7k · 13 hit papers · h-index 41

Impact in

Papers in

Ming Ding

222 papers receiving 9.5k citations

Ming Ding's Hit Papers

Personalized Federated Learning With Differential Privacy and Convergence Guarantee 2023 · 106 citations
1060+2+4Years since publication4008001.2k

Peers

Ming Ding
Comparison fields: 5 of 139
  • Computer Networks and Communications 3.2k
  • Health Informatics 156
  • Artificial Intelligence 3.9k
  • Information Systems 1.8k
  • Computer Science Applications 435
Replace Tom H. Luan with:
Tom H. Luan China
Dinh Thai Hoang Australia
Choong Seon Hong South Korea
Danda B. Rawat United States
Mohammed Atiquzzaman United States
Ke Zhang China
Moayad Aloqaily United Arab Emirates
Tony Q. S. Quek Singapore
Zhi Zhou China
Ju Ren China
Ming Ding relative to Tom H. Luan China Tom H. Luan's profile →
Citations per field
00.5×1.5×2.1×
Tom H. Luan · 1×
Citations per year

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-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.

Border = papers with Ming Ding Line = papers co-authored together Ming Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 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 →
20201459
2
6G Internet of Things: A Comprehensive Survey
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2021880
3
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges
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2019778
4
Federated Learning for Smart Healthcare: A Survey
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2022429
5
Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems
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2019378
6
The Impact of Adverse Weather Conditions on Autonomous Vehicles: How Rain, Snow, Fog, and Hail Affect the Performance of a Self-Driving Car
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2019278
7
Blockchain for 5G and beyond networks: A state of the art survey
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2020258
8
When Machine Learning Meets Privacy
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2021241
9
Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning
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2020235
10 2020215
11
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
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2021191
12
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
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2021172
13 2020142
14
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
Hit paper breakdown →
2023130
15 2021128
16 2019127
17 2022122
18 2021117
19 2021116
20
Personalized Federated Learning With Differential Privacy and Convergence Guarantee
Hit paper breakdown →
2023106

About Ming Ding

Ming Ding is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition, having authored 238 papers that have together received 9.7k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (73 papers), Privacy-Preserving Technologies in Data (62 papers), Cooperative Communication and Network Coding (51 papers), Millimeter-Wave Propagation and Modeling (37 papers), Advanced Wireless Communication Technologies (29 papers), UAV Applications and Optimization (28 papers), Cryptography and Data Security (17 papers) and IoT and Edge/Fog Computing (16 papers). The work is most often cited by research in Computer Networks and Communications (3.2k citations), Health Informatics (156 citations), Artificial Intelligence (3.9k citations), Information Systems (1.8k citations) and Computer Science Applications (435 citations). Ming Ding has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jun Li, Dinh C. Nguyen, Pubudu N. Pathirana, Aruna Seneviratne, H. Vincent Poor, Kang Wei, Zihuai Lin, Chuan Ma, Mahbub Hassan and Farhad Farokhi. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Access, IEEE Communications Letters and IEEE Transactions on Wireless Communications.

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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