Xiaojun Chang Google Scholar: h-index, Total Citations, and Citation Map
Xiaojun Chang's h-index is 81 (283 i10-index, 29,988+ total citations across 496+ publications) according to Google Scholar as of October 2026. Xiaojun Chang is affiliated with Chair Professor in Artificial Intelligence, University of Science and Technology of China.
Xiaojun Chang is a researcher affiliated with Chair Professor in Artificial Intelligence, University of Science and Technology of China, specializing in various fields. Their work has been cited 29,988 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xiaojun Chang's Citation Metrics
Bibliometric impact based on 496 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 81
- i10-Index
- 283
- Total Citations
- 29,988
- Citing Countries
- 67
As of October 2026.
Xiaojun Chang has an h-index of 81 and 29,988 total citations across 496 publications, with research cited by institutions in 67 countries.
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Global Impact Map
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Connecting the dots: Multivariate time series forecasting with graph neural networks
20203,213
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 Xiaojun Chang's research
Xiaojun Chang is a researcher at Chair Professor in Artificial Intelligence, University of Science and Technology of China. Their work has been cited 29,988 times across 496 publications (h-index 81), according to Google Scholar.
Their most-cited work, “Connecting the dots: Multivariate time series forecasting with graph neural networks” (2020), has accumulated 3,213 citations. Other influential works include “A survey of deep active learning” (2021) with 2,261 citations and “A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions” (2021) with 1,239 citations.
Citations of Xiaojun Chang's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
