Ming Ding

216 papers receiving 9.0k citations

Hit Papers

Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives 2023 · 119 citations
11920192026202120234008001.2k

Peers

Ming Ding
Comparison fields: 5 of 141
  • Computer Networks and Communications 3.1k
  • Health Informatics 166
  • Artificial Intelligence 3.8k
  • Information Systems 1.8k
  • Computer Science Applications 424
Replace Tom H. Luan with:
Tom H. Luan China
Dinh Thai Hoang Australia
Choong Seon Hong South Korea
Aruna Seneviratne Australia
Danda B. Rawat United States
Mohammed Atiquzzaman United States
Moayad Aloqaily United Arab Emirates
Tony Q. S. Quek Singapore
Zhi Zhou China
Junshan Zhang United States
Ming Ding relative to Tom H. Luan China Tom H. Luan's profile →
Citations per field
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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 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
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20201387
2
6G Internet of Things: A Comprehensive Survey
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2021838
3
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges
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2019758
4
Federated Learning for Smart Healthcare: A Survey
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2022404
5
Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems
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2019368
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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2019262
7
Blockchain for 5G and beyond networks: A state of the art survey
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2020250
8
Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning
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2020230
9
When Machine Learning Meets Privacy
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2021227
10 2020212
11
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization
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2021180
12
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
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2021164
13 2020139
14 2019124
15 2021123
16
Cyber Threat Intelligence Mining for Proactive Cybersecurity Defense: A Survey and New Perspectives
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2023119
17 2022117
18 2021114
19 2021113
20
Personalized Federated Learning With Differential Privacy and Convergence Guarantee
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202397

About Ming Ding

Ming Ding is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Computer Science Applications and Health Informatics, having authored 236 papers that have together received 9.3k 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 Advanced Wireless Network Optimization (15 papers). The work is most often cited by research in Computer Networks and Communications (3.1k citations), Health Informatics (166 citations), Artificial Intelligence (3.8k citations), Information Systems (1.8k citations) and Computer Science Applications (424 citations). Ming Ding has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Jun Li, Dinh C. Nguyen, Aruna Seneviratne, Pubudu N. Pathirana, H. Vincent Poor, Chuan Ma, Kang Wei, Zihuai Lin, 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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