Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE: h-index, Total Citations, and Citation Map
Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE's h-index is 137 (598 i10-index, 74,598+ total citations across 899+ publications) according to Google Scholar as of July 2026. Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE is affiliated with Albert Arendt Hopeman Professor of Engineering, University of Rochester.
Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE is a researcher affiliated with Albert Arendt Hopeman Professor of Engineering, University of Rochester, specializing in various fields. Their work has been cited 74,598 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE's Citation Metrics
Bibliometric impact based on 899 indexed publications.
- H-Index
- 137
- i10-Index
- 598
- Total Citations
- 74,598
- Citing Countries
- 61
As of July 2026.
Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE has an h-index of 137 and 74,598 total citations across 899 publications, with research cited by institutions in 61 countries.
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DOTA: A large-scale dataset for object detection in aerial images
20184,319
Top Citing Countries
Top Citing Institutions
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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.
6 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational large-scale benchmarks for image emotion recognition and aerial object detection, driving independent adoption across computer vision communities.
The researcher established a foundational framework for multi-label scene classification, a seminal contribution that has been widely adopted by the independent computer vision community.
The researcher advanced image captioning by introducing semantic attention mechanisms, a highly cited approach that significantly improved the alignment between visual features and generated text descriptions.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE's research
Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE is a researcher at Albert Arendt Hopeman Professor of Engineering, University of Rochester. Their work has been cited 74,598 times across 899 publications (h-index 137), according to Google Scholar.
Their most-cited work, “DOTA: A large-scale dataset for object detection in aerial images” (2018), has accumulated 4,319 citations. Other influential works include “Learning multi-label scene classification” (2004) with 3,321 citations and “Image captioning with semantic attention” (2016) with 2,423 citations.
Citations of Jiebo Luo, Fellow of ACM/AAAI/IEEE/NAI/AIMBE/IAPR/SPIE'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.
