Jun Inoue: h-index, Total Citations, and Citation Map
Jun Inoue's h-index is 10 (10 i10-index, 848+ total citations across 4+ publications) according to Google Scholar as of May 2026. Jun Inoue is affiliated with AIST.
Jun Inoue is a researcher affiliated with AIST, specializing in Computer Science. Their work has been cited 848 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jun Inoue's Citation Metrics
Bibliometric impact based on 4 indexed publications.
- H-Index
- 10
- i10-Index
- 10
- Total Citations
- 848
- Citing Countries
- 16
As of May 2026.
Jun Inoue has an h-index of 10 and 848 total citations across 4 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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Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
2017475
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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.
The researcher developed an unsupervised machine learning framework for anomaly detection in water treatment systems, establishing a foundational approach widely adopted by independent scholars.
The researcher established a framework for treating mathematical equations as executable models of mechanical systems, enabling direct computational simulation from formal descriptions.
The researcher developed Acumen, an open-source testbed that provides a foundational platform for advancing cyber-physical systems research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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