Wei Li Google Scholar: h-index, Total Citations, and Citation Map
Wei Li's h-index is 85 (284 i10-index, 29,373+ total citations across 387+ publications) according to Google Scholar as of October 2026. Wei Li is affiliated with Beijing Institute of Technology.
Wei Li is a researcher affiliated with Beijing Institute of Technology, specializing in Hyperspectral Image Analysis, Object Detection. Their work has been cited 29,373 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Wei Li's Citation Metrics
Bibliometric impact based on 387 indexed publications.
- H-Index
- 85
- i10-Index
- 284
- Total Citations
- 29,373
- Citing Countries
- 34
As of October 2026.
Wei Li has an h-index of 85 and 29,373 total citations across 387 publications, with research cited by institutions in 34 countries.
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Global Impact Map
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Deep Convolutional Neural Networks for Hyperspectral Image Classification
20152,335
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.
The researcher pioneered the application of deep convolutional neural networks to hyperspectral image classification, establishing a foundational framework that has been widely adopted by the independent scientific community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Wei Li's research
Wei Li is a researcher in Hyperspectral Image Analysis and Object Detection at Beijing Institute of Technology. Their work has been cited 29,373 times across 387 publications (h-index 85), according to Google Scholar.
Their most-cited work, “Deep Convolutional Neural Networks for Hyperspectral Image Classification” (2015), has accumulated 2,335 citations.
Citations of Wei Li's research come primarily from China, United States and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
