M. Wang Google Scholar: h-index, Total Citations, and Citation Map
M. Wang's h-index is 121 (615 i10-index, 62,464+ total citations across 854+ publications) according to Google Scholar as of October 2026. M. Wang is affiliated with Hefei University of Technology.
M. Wang is a researcher affiliated with Hefei University of Technology, specializing in Multimedia, Computer Vision, Pattern Recognition. Their work has been cited 62,464 times. This profile visualizes their global influence, highlighting strong citation networks in China.
M. Wang's Citation Metrics
Bibliometric impact based on 854 indexed publications. Of these, 5 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 121
- i10-Index
- 615
- Total Citations
- 62,464
- Citing Countries
- 48
As of October 2026.
M. Wang has an h-index of 121 and 62,464 total citations across 854 publications, with research cited by institutions in 48 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing M. Wang's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Showing partial map from open academic databases
Upgrade ($39.98) for the complete Google Scholar crawl.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
20206,743
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About M. Wang's research
M. Wang is a researcher in Multimedia, Computer Vision and Pattern Recognition at Hefei University of Technology. Their work has been cited 62,464 times across 854 publications (h-index 121), according to Google Scholar.
Their most-cited work, “LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation” (2020), has accumulated 6,743 citations. Other influential works include “Neural Graph Collaborative Filtering” (2019) with 4,963 citations and “Bias and Debias in Recommender System: A Survey and Future Directions” (2020) with 1,487 citations.
Citations of M. 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.
