Shang-Ming Zhou: h-index, Total Citations, and Citation Map
Shang-Ming Zhou's h-index is 30 (54 i10-index, 3,320+ total citations across 136+ publications) according to Google Scholar as of June 2026. Shang-Ming Zhou is affiliated with University of Plymouth.
Shang-Ming Zhou is a researcher affiliated with University of Plymouth, specializing in AI for Healthcare & Medicine, Health Informatics, Health Data Science. Their work has been cited 3,320 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Shang-Ming Zhou's Citation Metrics
Bibliometric impact based on 136 indexed publications.
- H-Index
- 30
- i10-Index
- 54
- Total Citations
- 3,320
- Citing Countries
- 23
As of June 2026.
Shang-Ming Zhou has an h-index of 30 and 3,320 total citations across 136 publications, with research cited by institutions in 23 countries.
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Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
2008357
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Shang-Ming Zhou's research
Shang-Ming Zhou is a researcher in AI for Healthcare & Medicine, Health Informatics and Health Data Science at University of Plymouth. Their work has been cited 3,320 times across 136 publications (h-index 30), according to Google Scholar.
Their most-cited work, “Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling” (2008), has accumulated 357 citations. Other influential works include “Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface” (2008) with 291 citations and “Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers” (2008) with 186 citations.
Citations of Shang-Ming Zhou's research come primarily from Spain, Italy and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
