Jieneng Chen: h-index, Total Citations, and Citation Map
Jieneng Chen's h-index is 31 (38 i10-index, 26,518+ total citations across 52+ publications) according to Google Scholar as of July 2026. Jieneng Chen is affiliated with Stanford University, Johns Hopkins University.
Jieneng Chen is a researcher affiliated with Stanford University, Johns Hopkins University, specializing in computer vision, artificial intelligence, biomedical science. Their work has been cited 26,518 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jieneng Chen's Citation Metrics
Bibliometric impact based on 52 indexed publications.
- H-Index
- 31
- i10-Index
- 38
- Total Citations
- 26,518
- Citing Countries
- 32
As of July 2026.
Jieneng Chen has an h-index of 31 and 26,518 total citations across 52 publications, with research cited by institutions in 32 countries.
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Global Impact Map
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TransUNet: Transformers make strong encoders for medical image segmentation
202111,757
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.
33 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher introduced TransUNet, a seminal architecture that leverages transformers as strong encoders for medical image segmentation, establishing a highly influential baseline in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jieneng Chen's research
Jieneng Chen is a researcher in computer vision, artificial intelligence and biomedical science at Stanford University, Johns Hopkins University. Their work has been cited 26,518 times across 52 publications (h-index 31), according to Google Scholar.
Their most-cited work, “TransUNet: Transformers make strong encoders for medical image segmentation” (2021), has accumulated 11,757 citations. Other influential works include “Swin-unet: Unet-like pure transformer for medical image segmentation” (2022) with 8,608 citations and “Semi-supervised medical image segmentation through dual-task consistency” (2021) with 1,017 citations.
Citations of Jieneng Chen's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
