Yu Wang: h-index, Total Citations, and Citation Map
Yu Wang's h-index is 83 (305 i10-index, 34,100+ total citations across 522+ publications) according to Google Scholar as of July 2026. Yu Wang is affiliated with Department of Electronic Engineering, Tsinghua University, China.
Yu Wang is a researcher affiliated with Department of Electronic Engineering, Tsinghua University, China, specializing in various fields. Their work has been cited 34,100 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Yu Wang's Citation Metrics
Bibliometric impact based on 522 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 83
- i10-Index
- 305
- Total Citations
- 34,100
- Citing Countries
- 60
As of July 2026.
Yu Wang has an h-index of 83 and 34,100 total citations across 522 publications, with research cited by institutions in 60 countries.
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Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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The surprising effectiveness of ppo in cooperative multi-agent games
20223,645
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.
12 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered fault-tolerant training methods for RRAM crossbar arrays, establishing a foundational framework for reliable matrix-vector multiplication in neuromorphic computing systems.
The researcher pioneered high-efficiency reconfigurable neuromorphic accelerator design and established critical fault tolerance frameworks for RRAM-based computing systems.
The researcher demonstrated the surprising effectiveness of PPO in cooperative multi-agent games, establishing a foundational benchmark for decentralized reinforcement learning in complex collaborative environments.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Yu Wang's research
Yu Wang is a researcher at Department of Electronic Engineering, Tsinghua University, China. Their work has been cited 34,100 times across 522 publications (h-index 83), according to Google Scholar.
Their most-cited work, “The surprising effectiveness of ppo in cooperative multi-agent games” (2022), has accumulated 3,645 citations. Other influential works include “Deep gradient compression: Reducing the communication bandwidth for distributed training” (2017) with 2,219 citations and “PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory” (2016) with 2,176 citations.
Citations of Yu Wang'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.
