Shiji Song: h-index, Total Citations, and Citation Map
Shiji Song's h-index is 76 (268 i10-index, 27,011+ total citations across 462+ publications) according to Google Scholar as of July 2026. Shiji Song is affiliated with Tsinghua University.
Shiji Song is a researcher affiliated with Tsinghua University, specializing in Modeling and optimization, complex system, and stochastic systems. Their work has been cited 27,011 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Shiji Song's Citation Metrics
Bibliometric impact based on 462 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 76
- i10-Index
- 268
- Total Citations
- 27,011
- Citing Countries
- 29
As of July 2026.
Shiji Song has an h-index of 76 and 27,011 total citations across 462 publications, with research cited by institutions in 29 countries.
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Global Impact Map
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Trends in extreme learning machines: A review
20152,176
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.
3 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational survey on dynamic neural networks and advanced the field through efficient transformer architectures and dynamic multimodal inference for robotics.
The researcher advanced extreme learning machine theory by developing semi-supervised and unsupervised learning frameworks, establishing a foundational approach for efficient data processing in machine learning.
The researcher advanced 3D object detection by introducing PointFormer, a foundational architecture that has garnered significant independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Shiji Song's research
Shiji Song is a researcher in Modeling and optimization, complex system and and stochastic systems at Tsinghua University. Their work has been cited 27,011 times across 462 publications (h-index 76), according to Google Scholar.
Their most-cited work, “Trends in extreme learning machines: A review” (2015), has accumulated 2,176 citations. Other influential works include “Vision transformer with deformable attention” (2022) with 1,409 citations and “Dynamic neural networks: A survey” (2021) with 1,296 citations.
Citations of Shiji Song's research come primarily from China, United States and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
