Ping Luo (羅平) Google Scholar: h-index, Total Citations, and Citation Map
Ping Luo (羅平)'s h-index is 132 (361 i10-index, 114,753+ total citations across 544+ publications) according to Google Scholar as of October 2026. Ping Luo (羅平) is affiliated with The University of Hong Kong; MMLAB@HKU.
Ping Luo (羅平) is a researcher affiliated with The University of Hong Kong; MMLAB@HKU, specializing in Generative AI, Embodied AI, LLM. Their work has been cited 114,753 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ping Luo (羅平)'s Citation Metrics
Bibliometric impact based on 544 indexed publications.
- H-Index
- 132
- i10-Index
- 361
- Total Citations
- 114,753
- Citing Countries
- 65
As of October 2026.
Ping Luo (羅平) has an h-index of 132 and 114,753 total citations across 544 publications, with research cited by institutions in 65 countries.
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Deep Learning Face Attributes in the Wild
201512,658
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ping Luo (羅平)'s research
Ping Luo (羅平) is a researcher in Generative AI, Embodied AI and LLM at The University of Hong Kong; MMLAB@HKU. Their work has been cited 114,753 times across 544 publications (h-index 132), according to Google Scholar.
Their most-cited work, “Deep Learning Face Attributes in the Wild” (2015), has accumulated 12,658 citations. Other influential works include “SegFormer: Simple and efficient design for semantic segmentation with transformers” (2021) with 11,345 citations and “Pyramid vision transformer: A versatile backbone for dense prediction without convolutions” (2021) with 7,253 citations.
Citations of Ping Luo (羅平)'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.
