Rongrong Ji 纪荣嵘 Google Scholar: h-index, Total Citations, and Citation Map
Rongrong Ji 纪荣嵘's h-index is 110 (525 i10-index, 52,892+ total citations across 821+ publications) according to Google Scholar as of October 2026. Rongrong Ji 纪荣嵘 is affiliated with Xiamen University.
Rongrong Ji 纪荣嵘 is a researcher affiliated with Xiamen University, specializing in Model Compression, Neural Architecture Search, Image Retrieval. Their work has been cited 52,892 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Rongrong Ji 纪荣嵘's Citation Metrics
Bibliometric impact based on 821 indexed publications.
- H-Index
- 110
- i10-Index
- 525
- Total Citations
- 52,892
- Citing Countries
- 57
As of October 2026.
Rongrong Ji 纪荣嵘 has an h-index of 110 and 52,892 total citations across 821 publications, with research cited by institutions in 57 countries.
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Global Impact Map
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Hypergraph neural networks
20192,897
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.
1240 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered hypergraph neural networks, establishing a foundational framework for modeling complex high-order relationships that has been widely adopted and extended by the independent research community.
The researcher developed a supervised hashing framework utilizing kernel methods to enhance semantic similarity preservation in large-scale image retrieval systems.
The researcher established a comprehensive evaluation benchmark for multimodal large language models, providing a standardized framework that has become a central reference point in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Rongrong Ji 纪荣嵘's research
Rongrong Ji 纪荣嵘 is a researcher in Model Compression, Neural Architecture Search and Image Retrieval at Xiamen University. Their work has been cited 52,892 times across 821 publications (h-index 110), according to Google Scholar.
Their most-cited work, “Hypergraph neural networks” (2019), has accumulated 2,897 citations. Other influential works include “Mme: A comprehensive evaluation benchmark for multimodal large language models” (2026) with 1,900 citations and “Supervised hashing with kernels” (2012) with 1,757 citations.
Citations of Rongrong Ji 纪荣嵘'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.
