YA-QIN ZHANG Google Scholar: h-index, Total Citations, and Citation Map
YA-QIN ZHANG's h-index is 84 (281 i10-index, 29,690+ total citations across 870+ publications) according to Google Scholar as of October 2026. YA-QIN ZHANG is affiliated with Tsinghua Univ. (AIR)，Microsoft, Baidu, Sarnoff, GTE.
YA-QIN ZHANG is a researcher affiliated with Tsinghua Univ. (AIR)，Microsoft, Baidu, Sarnoff, GTE, specializing in AI, Robotics, Autonomous Driving. Their work has been cited 29,690 times. This profile visualizes their global influence, highlighting strong citation networks in China.
YA-QIN ZHANG's Citation Metrics
Bibliometric impact based on 870 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 84
- i10-Index
- 281
- Total Citations
- 29,690
- Citing Countries
- 53
As of October 2026.
YA-QIN ZHANG has an h-index of 84 and 29,690 total citations across 870 publications, with research cited by institutions in 53 countries.
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Global Impact Map
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Dapo: An open-source llm reinforcement learning system at scale
20261,873
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.
1641 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a quadratic rate-distortion model for video rate control, establishing a foundational framework later extended to address real-time video transmission challenges over the Internet.
The researcher pioneered motion-compensated wavelet transform coding for color video compression, establishing a foundational framework that evolved into efficient zerotree-based video coders.
The researcher established a foundational framework for digital video processing and communications, as evidenced by a seminal 2001 monograph that has garnered over 1,400 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About YA-QIN ZHANG's research
YA-QIN ZHANG is a researcher in AI, Robotics and Autonomous Driving at Tsinghua Univ. (AIR)，Microsoft, Baidu, Sarnoff, GTE. Their work has been cited 29,690 times across 870 publications (h-index 84), according to Google Scholar.
Their most-cited work, “Dapo: An open-source llm reinforcement learning system at scale” (2026), has accumulated 1,873 citations. Other influential works include “Digital video processing and communications” (2001) with 1,480 citations and “Streaming video over the Internet: approaches and directions” (2001) with 1,297 citations.
Citations of YA-QIN ZHANG'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.
