Shi Dong 董是: h-index, Total Citations, and Citation Map
Shi Dong 董是's h-index is 20 (35 i10-index, 1,270+ total citations across 77+ publications) according to Google Scholar as of May 2026. Shi Dong 董是 is affiliated with Professor, Chang'an University.
Shi Dong 董是 is a researcher affiliated with Professor, Chang'an University, specializing in Road Engineering, Pavement Engineering, Big Data. Their work has been cited 1,270 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Shi Dong 董是's Citation Metrics
Bibliometric impact based on 77 indexed publications. Of these, 16 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 20
- i10-Index
- 35
- Total Citations
- 1,270
- Citing Countries
- 33
As of May 2026.
Shi Dong 董是 has an h-index of 20 and 1,270 total citations across 77 publications, with research cited by institutions in 33 countries.
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Global Impact Map
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Top Cited Works
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Evaluation of the effect of bio-oil on the high-temperature performance of rubber modified asphalt
2018139
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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.
827 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a TS fuzzy neural network diagnostic method for cement-stabilized bases, establishing a framework for intelligent pavement condition assessment and material optimization.
The researcher developed an advanced local calibration method for mechanistic-empirical pavement design, subsequently extending this framework to analyze void structure evolution and multi-scale fatigue damage in cement-stabilized materials.
The researcher established a quantitative framework for analyzing modification mechanisms in emulsified asphalt cold recycled mixtures, advancing sustainable pavement engineering through mechanistic insights and performance optimization.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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