Osmar Zaiane: h-index, Total Citations, and Citation Map
Osmar Zaiane's h-index is 79 (284 i10-index, 27,302+ total citations across 593+ publications) according to Google Scholar as of August 2026. Osmar Zaiane is affiliated with University of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI Chair.
Osmar Zaiane is a researcher affiliated with University of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI Chair, specializing in various fields. Their work has been cited 27,302 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Osmar Zaiane's Citation Metrics
Bibliometric impact based on 593 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 79
- i10-Index
- 284
- Total Citations
- 27,302
- Citing Countries
- 67
As of August 2026.
Osmar Zaiane has an h-index of 79 and 27,302 total citations across 593 publications, with research cited by institutions in 67 countries.
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Global Impact Map
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U2-Net: Going deeper with nested U-structure for salient object detection
20202,927
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.
9 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational methods for evaluating learner behavior and building recommender agents in web-based distance learning environments.
The researcher advanced sentiment analysis by bridging opinion mining with emotion detection and extending these insights to automatic dialogue generation with expressed emotions.
The researcher developed U2-Net, a nested U-structure architecture that significantly advanced salient object detection performance and established a new standard in the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Osmar Zaiane's research
Osmar Zaiane is a researcher at University of Alberta - Alberta Machine Intelligence Institute, Canada CIFAR AI Chair. Their work has been cited 27,302 times across 593 publications (h-index 79), according to Google Scholar.
Their most-cited work, “U2-Net: Going deeper with nested U-structure for salient object detection” (2020), has accumulated 2,927 citations. Other influential works include “Uctransnet: rethinking the skip connections in u-net from a channel-wise perspective with transformer” (2022) with 1,552 citations and “Discovering web access patterns and trends by applying OLAP and data mining technology on web logs” (1998) with 782 citations.
Citations of Osmar Zaiane's research come primarily from China, United States and Canada, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
