Professor Elizabeth Chang: h-index, Total Citations, and Citation Map
Professor Elizabeth Chang's h-index is 64 (394 i10-index, 22,525+ total citations across 1,000+ publications) according to Google Scholar as of June 2026. Professor Elizabeth Chang is affiliated with Professor of Applied AI and Cyber Security.
Professor Elizabeth Chang is a researcher affiliated with Professor of Applied AI and Cyber Security, specializing in Big Data Trust, Security, Privacy and Risks and Applications in Transport & Health Sustainbility. Their work has been cited 22,525 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Professor Elizabeth Chang's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 4 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 64
- i10-Index
- 394
- Total Citations
- 22,525
- Citing Countries
- 11
As of June 2026.
Professor Elizabeth Chang has an h-index of 64 and 22,525 total citations across 1000 publications, with research cited by institutions in 11 countries.
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We've mapped 5,000 of 22,525 citations for Professor Elizabeth Chang
We've shown the most-cited 5,000. Unlock the full crawl (22,475 more citations) to see every institution citing this scholar.
Global Impact Map
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Cloud computing: issues and challenges
20102,505
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Professor Elizabeth Chang's research
Professor Elizabeth Chang is a researcher in Big Data Trust, Security and Privacy and Risks and Applications in Transport & Health Sustainbility at Professor of Applied AI and Cyber Security. Their work has been cited 22,525 times across 1,000 publications (h-index 64), according to Google Scholar.
Their most-cited work, “Cloud computing: issues and challenges” (2010), has accumulated 2,505 citations. Other influential works include “A survey of digital image watermarking techniques” (2005) with 985 citations and “Neural-network-based models for short-term traffic flow forecasting using a hybrid exponential smoothing and Levenberg–Marquardt algorithm” (2011) with 554 citations.
Citations of Professor Elizabeth Chang's research come primarily from Australia, China and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
