Qinbin Li: h-index, Total Citations, and Citation Map
Qinbin Li's h-index is 24 (31 i10-index, 8,719+ total citations across 47+ publications) according to Google Scholar as of June 2026. Qinbin Li is affiliated with Professor, Computer Science, Huazhong University of Science and Technology.
Qinbin Li is a researcher affiliated with Professor, Computer Science, Huazhong University of Science and Technology, specializing in various fields. Their work has been cited 8,719 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Qinbin Li's Citation Metrics
Bibliometric impact based on 47 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 24
- i10-Index
- 31
- Total Citations
- 8,719
- Citing Countries
- 51
As of June 2026.
Qinbin Li has an h-index of 24 and 8,719 total citations across 47 publications, with research cited by institutions in 51 countries.
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We've mapped 5,000 of 8,719 citations for Qinbin Li
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Global Impact Map
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Model-Contrastive Federated Learning
20212,462
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.
10 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Qinbin Li's research
Qinbin Li is a researcher at Professor, Computer Science, Huazhong University of Science and Technology. Their work has been cited 8,719 times across 47 publications (h-index 24), according to Google Scholar.
Their most-cited work, “Model-Contrastive Federated Learning” (2021), has accumulated 2,462 citations. Other influential works include “A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection” (2019) with 2,201 citations and “Federated learning on non-iid data silos: An experimental study” (2022) with 1,877 citations.
Citations of Qinbin Li's research come primarily from China, United States and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











