Jifeng Dai Google Scholar: h-index, Total Citations, and Citation Map
Jifeng Dai's h-index is 82 (130 i10-index, 85,150+ total citations across 162+ publications) according to Google Scholar as of September 2026. Jifeng Dai is affiliated with Associate Professor of EE, Tsinghua University.
Jifeng Dai is a researcher affiliated with Associate Professor of EE, Tsinghua University, specializing in computer vision, deep learning. Their work has been cited 85,150 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jifeng Dai's Citation Metrics
Bibliometric impact based on 162 indexed publications.
- H-Index
- 82
- i10-Index
- 130
- Total Citations
- 85,150
- Citing Countries
- 47
As of September 2026.
Jifeng Dai has an h-index of 82 and 85,150 total citations across 162 publications, with research cited by institutions in 47 countries.
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Global Impact Map
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Deformable DETR: Deformable Transformers for End-to-End Object Detection
202111,433
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.
222 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered deformable convolutional networks and extended this architecture to transformers and open-source toolkits, establishing a foundational framework for adaptive geometric modeling in computer vision.
The researcher advanced deformable convolution architectures through a seminal 2019 paper and subsequent efficiency-focused refinements, establishing a highly cited foundation for dynamic visual perception operators.
The researcher pioneered the InternVL framework for scaling vision foundation models, establishing a foundational approach for generic visual-linguistic tasks that has driven subsequent advancements in monolithic multimodal architectures and embodied reasoning systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jifeng Dai's research
Jifeng Dai is a researcher in computer vision and deep learning at Associate Professor of EE, Tsinghua University. Their work has been cited 85,150 times across 162 publications (h-index 82), according to Google Scholar.
Their most-cited work, “Deformable DETR: Deformable Transformers for End-to-End Object Detection” (2021), has accumulated 11,433 citations. Other influential works include “Deformable Convolutional Networks” (2017) with 9,595 citations and “R-FCN: Object Detection via Region-based Fully Convolutional Networks” (2016) with 8,743 citations.
Citations of Jifeng Dai'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.
