Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician: h-index, Total Citations, and Citation Map
Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician's h-index is 142 (744 i10-index, 115,025+ total citations across 1,000+ publications) according to Google Scholar as of July 2026. Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician is affiliated with Chief AI Scientist at Huawei CBG & Director of Guangming Laboratory, Shenzhen, China.
Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician is a researcher affiliated with Chief AI Scientist at Huawei CBG & Director of Guangming Laboratory, Shenzhen, China, specializing in Multimedia, Computer Vision, Multimedia Information Retrieval. Their work has been cited 115,025 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician's Citation Metrics
Bibliometric impact based on 1,000 indexed publications.
- H-Index
- 142
- i10-Index
- 744
- Total Citations
- 115,025
- Citing Countries
- 21
As of July 2026.
Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician has an h-index of 142 and 115,025 total citations across 1000 publications, with research cited by institutions in 21 countries.
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Swin-unet: Unet-like pure transformer for medical image segmentation
20228,534
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About Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician's research
Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician is a researcher in Multimedia, Computer Vision and Multimedia Information Retrieval at Chief AI Scientist at Huawei CBG & Director of Guangming Laboratory, Shenzhen, China. Their work has been cited 115,025 times across 1,000 publications (h-index 142), according to Google Scholar.
Their most-cited work, “Swin-unet: Unet-like pure transformer for medical image segmentation” (2022), has accumulated 8,534 citations. Other influential works include “Ghostnet: More features from cheap operations” (2020) with 6,717 citations and “Scalable person re-identification: A benchmark” (2015) with 6,354 citations.
Citations of Qi Tian (田奇), PhD, Fellow of ACM/IEEE/AAAI, IEAS Academician's research come primarily from China, United States and Hong Kong, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











