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.
Quantitative Optical Coherence Tomography Angiography of Choroidal Neovascularization in Age-Related Macular Degeneration
2014601 citationsYali Jia, Steven T. Bailey et al.Ophthalmologyprofile →
Quantitative OCT angiography of optic nerve head blood flow
2012378 citationsYali Jia, Ou Tan et al.Biomedical Optics Expressprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Chen D. Lu'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 Chen D. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen D. Lu more than expected).
This network shows the impact of papers produced by Chen D. Lu. 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 Chen D. Lu. The network helps show where Chen D. Lu may publish in the future.
Co-authorship network of co-authors of Chen D. Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Chen D. Lu.
A scholar is included among the top collaborators of Chen D. Lu 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 Chen D. Lu. Chen D. Lu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lu, Chen D., André J. Witkin, Nadia K. Waheed, et al.. (2016). Ultrahigh Speed Ophthalmic Surgical OCT for Intraoperative OCT Angiography and Widefield Imaging. Investigative Ophthalmology & Visual Science. 57(12). 466–466.1 indexed citations
7.
Moult, Eric M., WooJhon Choi, ByungKun Lee, et al.. (2016). SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY REVEALS CHORIOCAPILLARIS ALTERATIONS IN EYES WITH NASCENT GEOGRAPHIC ATROPHY AND DRUSEN-ASSOCIATED GEOGRAPHIC ATROPHY. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
Li, Yan, Chen D. Lu, Yali Jia, et al.. (2015). Anterior Segment Angiography with 1050 nm Swept-Source Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 56(7). 4512–4512.4 indexed citations
10.
Lee, ByungKun, Mehreen Adhi, Nadia K. Waheed, et al.. (2014). OCT Angiography of Retinal Pathologies Using Ultrahigh Speed Swept Source Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 55(13). 4538–4538.1 indexed citations
11.
Jia, Yali, Steven T. Bailey, David J. Wilson, et al.. (2014). Quantitative Optical Coherence Tomography Angiography of Choroidal Neovascularization in Age-Related Macular Degeneration. Ophthalmology. 121(7). 1435–1444.601 indexed citations breakdown →
Lu, Chen D., Martin F. Kraus, Ireneusz Grulkowski, et al.. (2013). Handheld High Speed 500 kHz Swept Source OCT Device Using a Micro Scanning Mirror. Investigative Ophthalmology & Visual Science. 54(15). 1489–1489.3 indexed citations
15.
Liu, Jonathan, André J. Witkin, Mehreen Adhi, et al.. (2013). Enhanced Vitreal Imaging of the Vitreoretinal Interface in Normal Eyes Using Swept-Source OCT. Investigative Ophthalmology & Visual Science. 54(15). 3167–3167.1 indexed citations
Grulkowski, Ireneusz, et al.. (2011). Imaging limbal and scleral vasculature using Swept Source Optical Coherence Tomography. DSpace@MIT (Massachusetts Institute of Technology).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.