Jian Yang Google Scholar: h-index, Total Citations, and Citation Map
Jian Yang's h-index is 204 (1786 i10-index, 253,576+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Jian Yang is affiliated with Macquarie University.
Jian Yang is a researcher affiliated with Macquarie University, specializing in machine learning/deep learning, computational materials science, statistical mechanics. Their work has been cited 253,576 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jian Yang's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 204
- i10-Index
- 1786
- Total Citations
- 253,576
- Citing Countries
- 105
As of October 2026.
Jian Yang has an h-index of 204 and 253,576 total citations across 1000 publications, with research cited by institutions in 105 countries.
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GCTA: a tool for genome-wide complex trait analysis
20119,283
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
956 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced GWAS methodology by developing LD Score regression to distinguish confounding from polygenicity, supported by highly cited reviews tracking the field's evolution.
The researcher advanced genomic understanding of adult human height and obesity biology through large-scale meta-analyses, establishing foundational insights into the genetic architecture of these complex traits.
The researcher advanced large-scale genomic analysis by leading a seminal study on educational attainment and extending these methods to elucidate genetic factors in schizophrenia and Parkinson's disease.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jian Yang's research
Jian Yang is a researcher in machine learning/deep learning, computational materials science and statistical mechanics at Macquarie University. Their work has been cited 253,576 times across 1,000 publications (h-index 204), according to Google Scholar.
Their most-cited work, “GCTA: a tool for genome-wide complex trait analysis” (2011), has accumulated 9,283 citations. Other influential works include “LD Score regression distinguishes confounding from polygenicity in genome-wide association studies” (2015) with 6,505 citations and “Genetic studies of body mass index yield new insights for obesity biology” (2015) with 5,640 citations.
Citations of Jian Yang's research come primarily from United States, China 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.
