Shuai Zhang Google Scholar: h-index, Total Citations, and Citation Map
Shuai Zhang's h-index is 151 (1983 i10-index, 143,538+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Shuai Zhang is affiliated with sensetime.
Shuai Zhang is a researcher affiliated with sensetime, specializing in deep learning, video processing, data fusion. Their work has been cited 143,538 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Shuai Zhang's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 151
- i10-Index
- 1983
- Total Citations
- 143,538
- Citing Countries
- 33
As of October 2026.
Shuai Zhang has an h-index of 151 and 143,538 total citations across 1000 publications, with research cited by institutions in 33 countries.
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Global Impact Map
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Informer: Beyond efficient transformer for long sequence time-series forecasting
202111,678
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.
2 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed neutralization line techniques to reduce mutual coupling in UWB MIMO antennas, later extending these decoupling strategies to massive MIMO arrays.
The researcher pioneered photothermally enhanced photodynamic therapy using nano-graphene oxide, establishing a foundational approach for synergistic cancer treatment modalities.
The researcher established foundational safety profiles for PEGylated graphene through comprehensive in vivo pharmacokinetic, biodistribution, and toxicology studies in mice.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Shuai Zhang's research
Shuai Zhang is a researcher in deep learning, video processing and data fusion at sensetime. Their work has been cited 143,538 times across 1,000 publications (h-index 151), according to Google Scholar.
Their most-cited work, “Informer: Beyond efficient transformer for long sequence time-series forecasting” (2021), has accumulated 11,678 citations. Other influential works include “Deep learning based recommender system: A survey and new perspectives” (2019) with 5,144 citations and “Photothermally enhanced photodynamic therapy delivered by nano-graphene oxide” (2011) with 1,213 citations.
Citations of Shuai Zhang's research come primarily from China, India 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.
