Xiaohui Liu Google Scholar: h-index, Total Citations, and Citation Map
Xiaohui Liu's h-index is 9 (9 i10-index, 42,536+ total citations across 18+ publications) according to Google Scholar as of October 2026. Xiaohui Liu is affiliated with Brunel University London.
Xiaohui Liu is a researcher affiliated with Brunel University London, specializing in various fields. Their work has been cited 42,536 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Xiaohui Liu's Citation Metrics
Bibliometric impact based on 18 indexed publications. Of these, 14 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 42,536
- Citing Countries
- 28
As of October 2026.
Xiaohui Liu has an h-index of 9 and 42,536 total citations across 18 publications, with research cited by institutions in 28 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Xiaohui Liu's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Showing partial map from open academic databases
Upgrade ($39.98) for the complete Google Scholar crawl.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples
2024173
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Xiaohui Liu's research
Xiaohui Liu is a researcher at Brunel University London. Their work has been cited 42,536 times across 18 publications (h-index 9), according to Google Scholar.
Their most-cited work, “An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples” (2024), has accumulated 173 citations. Other influential works include “Bearing fault diagnosis via fusing small samples and training multi-state Siamese neural networks” (2024) with 57 citations and “Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection” (2025) with 38 citations.
Citations of Xiaohui Liu's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
