Vasile Palade: h-index, Total Citations, and Citation Map
Vasile Palade's h-index is 50 (188 i10-index, 13,967+ total citations across 450+ publications) according to Google Scholar as of June 2026. Vasile Palade is affiliated with Professor of Artificial Intelligence and Data Science, Coventry University.
Vasile Palade is a researcher affiliated with Professor of Artificial Intelligence and Data Science, Coventry University, specializing in Machine Learning, Computer Vision, Natural Language Processing. Their work has been cited 13,967 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Vasile Palade's Citation Metrics
Bibliometric impact based on 450 indexed publications.
- H-Index
- 50
- i10-Index
- 188
- Total Citations
- 13,967
- Citing Countries
- 25
As of June 2026.
Vasile Palade has an h-index of 50 and 13,967 total citations across 450 publications, with research cited by institutions in 25 countries.
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An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics
20132,165
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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 Vasile Palade's research
Vasile Palade is a researcher in Machine Learning, Computer Vision and Natural Language Processing at Professor of Artificial Intelligence and Data Science, Coventry University. Their work has been cited 13,967 times across 450 publications (h-index 50), according to Google Scholar.
Their most-cited work, “An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics” (2013), has accumulated 2,165 citations. Other influential works include “FSVM-CIL: fuzzy support vector machines for class imbalance learning” (2010) with 538 citations and “Quantum-behaved particle swarm optimization: analysis of individual particle behavior and parameter selection” (2012) with 487 citations.
Citations of Vasile Palade's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
