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.
Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
2018533 citationsZhixi Li, Yifan He et al.profile →
Macular Ganglion Cell–Inner Plexiform Layer: Automated Detection and Thickness Reproducibility with Spectral Domain–Optical Coherence Tomography in Glaucoma
2011367 citationsJonathan D. Oakley, Robert T. Chang et al.Investigative Ophthalmology & Visual Scienceprofile →
Glaucoma Diagnostic Accuracy of Ganglion Cell–Inner Plexiform Layer Thickness: Comparison with Nerve Fiber Layer and Optic Nerve Head
Countries citing papers authored by Robert T. Chang
Since
Specialization
Citations
This map shows the geographic impact of Robert T. Chang'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 Robert T. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Chang more than expected).
This network shows the impact of papers produced by Robert T. Chang. 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 Robert T. Chang. The network helps show where Robert T. Chang may publish in the future.
Co-authorship network of co-authors of Robert T. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Robert T. Chang.
A scholar is included among the top collaborators of Robert T. Chang 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 Robert T. Chang. Robert T. Chang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tran, Elaine, et al.. (2020). Comparison of Virtual Reality (PalmScan VF2000) Visual Fields Analyzer with Humphrey Visual Field in Glaucoma Patients. Investigative Ophthalmology & Visual Science. 61(7). 3893–3893.1 indexed citations
10.
Ran, An Ran, Xi Wang, Luyang Luo, et al.. (2019). A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans. Investigative Ophthalmology & Visual Science. 60(9). 5571–5571.1 indexed citations
Groth, Sylvia L., et al.. (2019). Recombinant human nerve growth factor (rhNGF) eye drops for glaucoma: Results from a prospective double -masked randomized controlled trial. Investigative Ophthalmology & Visual Science. 60(9). 2397–2397.1 indexed citations
13.
Leng, Theodore, et al.. (2018). Automatic identification of referral-warranted diabetic retinopathy using deep learning on mobile phone images. Investigative Ophthalmology & Visual Science. 59(9). 1705–1705.1 indexed citations
14.
Li, Zhong‐Qiu, et al.. (2018). Comparison of Automated Self-Refraction Using NETRA with Table-Mounted Autorefractor and Subjective Refraction in an Academic Optometry Clinic. Investigative Ophthalmology & Visual Science. 59(9). 3407–3407.2 indexed citations
15.
Groth, Sylvia L., Zhongqiu Li, Sophia Y. Wang, et al.. (2018). Recombinant human nerve growth factor (rhNGF) eye drops for glaucoma: Interim results. Investigative Ophthalmology & Visual Science. 59(9). 1241–1241.1 indexed citations
Yu, Caroline, et al.. (2016). Eye Fatigue During TV Watching: An Infrared Oculography Study of Linearly vs. Circularly Polarized LCD TV. Investigative Ophthalmology & Visual Science. 57(12). 4591–4591.1 indexed citations
18.
He, Lingmin, David Myung, Suzann Pershing, & Robert T. Chang. (2014). iPhone Photography of Eye Pathology for Remote Triage. Investigative Ophthalmology & Visual Science. 55(13). 4875–4875.1 indexed citations
19.
Chang, Robert T., et al.. (2013). Novel Corneal Biomechanical Parameters in Myopes vs Emmetropes. Investigative Ophthalmology & Visual Science. 54(15). 1638–1638.1 indexed citations
20.
Johung, Tessa, et al.. (2013). The Prevalence of Cirrus SD-OCT Ganglion Cell Segmentation Errors in High Myopes. Investigative Ophthalmology & Visual Science. 54(15). 4845–4845.1 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.