Liang Fei: h-index, Total Citations, and Citation Map
Liang Fei's h-index is 5 (3 i10-index, 99+ total citations across 12+ publications) according to Google Scholar as of May 2026. Liang Fei is affiliated with Ph.D in Electrical and Computer Engineering, Oklahoma State University.
Liang Fei is a researcher affiliated with Ph.D in Electrical and Computer Engineering, Oklahoma State University, specializing in Wearable Computing, Machine Learning, Robotics. Their work has been cited 99 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Liang Fei's Citation Metrics
Bibliometric impact based on 12 indexed publications. Of these, 11 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 5
- i10-Index
- 3
- Total Citations
- 99
- Citing Countries
- 16
As of May 2026.
Liang Fei has an h-index of 5 and 99 total citations across 12 publications, with research cited by institutions in 16 countries.
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Global Impact Map
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Top Cited Works
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Conversation-based medication management system for older adults using a companion robot and cloud
202133
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.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
66 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a conversation-based medication management system for older adults using companion robots and cloud infrastructure, establishing a foundational framework for robot-assisted homecare.
The researcher developed a multimodal monitoring framework for elderly activities of daily living, establishing a foundational approach for non-intrusive elder care surveillance.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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