Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
2010584 citationsStephanie J. Chiu, Cynthia A. Toth et al.profile →
Kernel regression based segmentation of optical coherence tomography images with diabetic macular edema
2015273 citationsStephanie J. Chiu, Joseph A. Izatt et al.Biomedical Optics Expressprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Stephanie J. Chiu
Since
Specialization
Citations
This map shows the geographic impact of Stephanie J. Chiu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephanie J. Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie J. Chiu more than expected).
Fields of papers citing papers by Stephanie J. Chiu
This network shows the impact of papers produced by Stephanie J. Chiu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephanie J. Chiu. The network helps show where Stephanie J. Chiu may publish in the future.
Co-authorship network of co-authors of Stephanie J. Chiu
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie J. Chiu.
A scholar is included among the top collaborators of Stephanie J. Chiu based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Stephanie J. Chiu. Stephanie J. Chiu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yuan, Eric, Francisco A. Folgar, Stephanie J. Chiu, Sina Farsiu, & Cynthia A. Toth. (2013). One-year macular volume change of the neurosensory retina in intermediate AMD by SDOCT semi-automated segmentation. Investigative Ophthalmology & Visual Science. 54(15). 6293–6293.1 indexed citations
Farsiu, Sina, Rachelle V. O’Connell, Stephanie J. Chiu, et al.. (2012). Comprehensive Atlas of RPE-Drusen Complex Thickness Maps for Classification of Eyes with and without Intermediate AMD. Investigative Ophthalmology & Visual Science. 53(14). 844–844.1 indexed citations
17.
LaRocca, Francesco, Stephanie J. Chiu, Anthony N. Kuo, Joseph A. Izatt, & Sina Farsiu. (2011). Robust Automatic Segmentation of Corneal Layer Boundaries in OCT Images using Graph Theory and Dynamic Programming. Investigative Ophthalmology & Visual Science. 52(14). 4182–4182.2 indexed citations
18.
Estrada, Rolando, Stephanie J. Chiu, Al-Hafeez Dhalla, et al.. (2011). Segmentation-Based Registration of Retinal Optical Coherence Tomography Images with Pathology. Investigative Ophthalmology & Visual Science. 52(14). 1309–1309.6 indexed citations
Toth, Cynthia A., Sina Farsiu, Stephanie J. Chiu, Aziz A. Khanifar, & Joseph A. Izatt. (2008). Automatic Drusen Segmentation and Characterization in Spectral Domain Optical Coherence Tomography (SDOCT) Images of AMD Eyes. Investigative Ophthalmology & Visual Science. 49(13). 5394–5394.8 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.