Ming Ding: h-index, Total Citations, and Citation Map
Ming Ding's h-index is 67 (228 i10-index, 28,231+ total citations across 439+ publications) according to Google Scholar as of July 2026. Ming Ding is affiliated with Group Leader@CSIRO, AU; Clarivate Highly Cited Researcher, Adj. Prof.@Swinburne and UTS, AE@COMST.
Ming Ding is a researcher affiliated with Group Leader@CSIRO, AU; Clarivate Highly Cited Researcher, Adj. Prof.@Swinburne and UTS, AE@COMST, specializing in Data Privacy and Security, Trustworthy AI, Information Technology. Their work has been cited 28,231 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ming Ding's Citation Metrics
Bibliometric impact based on 439 indexed publications. Of these, 1 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 67
- i10-Index
- 228
- Total Citations
- 28,231
- Citing Countries
- 27
As of July 2026.
Ming Ding has an h-index of 67 and 28,231 total citations across 439 publications, with research cited by institutions in 27 countries.
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Global Impact Map
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Federated learning with differential privacy: Algorithms and performance analysis
20203,339
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ming Ding's research
Ming Ding is a researcher in Data Privacy and Security, Trustworthy AI and Information Technology at Group Leader@CSIRO, AU; Clarivate Highly Cited Researcher, Adj. Prof.@Swinburne and UTS, AE@COMST. Their work has been cited 28,231 times across 439 publications (h-index 67), according to Google Scholar.
Their most-cited work, “Federated learning with differential privacy: Algorithms and performance analysis” (2020), has accumulated 3,339 citations. Other influential works include “Federated learning for internet of things: A comprehensive survey” (2021) with 2,211 citations and “6G Internet of Things: A comprehensive survey” (2021) with 1,789 citations.
Citations of Ming Ding's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
