Jun Liu: h-index, Total Citations, and Citation Map
Jun Liu's h-index is 44 (120 i10-index, 8,444+ total citations across 488+ publications) according to Google Scholar as of June 2026. Jun Liu is affiliated with Ulster University.
Jun Liu is a researcher affiliated with Ulster University, specializing in Artificial Intelligence, decision science, logic. Their work has been cited 8,444 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jun Liu's Citation Metrics
Bibliometric impact based on 488 indexed publications.
- H-Index
- 44
- i10-Index
- 120
- Total Citations
- 8,444
- Citing Countries
- 45
As of June 2026.
Jun Liu has an h-index of 44 and 8,444 total citations across 488 publications, with research cited by institutions in 45 countries.
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We've mapped 5,000 of 8,444 citations for Jun Liu
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Global Impact Map
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Belief rule-base inference methodology using the evidential reasoning approach-RIMER
20061,032
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.
5 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for lattice-valued logic, a seminal contribution to fuzzy mathematics that has been widely adopted by independent scholars.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jun Liu's research
Jun Liu is a researcher in Artificial Intelligence, decision science and logic at Ulster University. Their work has been cited 8,444 times across 488 publications (h-index 44), according to Google Scholar.
Their most-cited work, “Belief rule-base inference methodology using the evidential reasoning approach-RIMER” (2006), has accumulated 1,032 citations. Other influential works include “Lattice-valued logic” (2003) with 551 citations and “Inference and learning methodology of belief-rule-based expert system for pipeline leak detection” (2007) with 383 citations.
Citations of Jun Liu's research come primarily from China, United Kingdom and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
