Long To

13 papers receiving 357 citations

Peers

Long To
Comparison fields: 5 of 66
  • Cognitive Neuroscience 159
  • Ophthalmology 48
  • Epidemiology 172
  • Human-Computer Interaction 22
  • Neurology 18
Replace Fuensanta A. Vera‐Díaz with:
Fuensanta A. Vera‐Díaz United States
Milton Katz United States
Leon N. McLin United States
David W. Arathorn United States
José J. Esteve‐Taboada Spain
Yen Lee Yap United States
K.J. Ciuffreda United States
Nikole L. Himebaugh United States
Inna Tsirlin Canada
Abbas Riazi Iran
Long To relative to Fuensanta A. Vera‐Díaz United States Fuensanta A. Vera‐Díaz's profile →
Citations per field
00.5×4.5×
Fuensanta A. Vera‐Díaz · 1×
Citations per year

Countries citing papers authored by Long To

Since Specialization
Citations

This map shows the geographic impact of Long To'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 Long To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long To more than expected).

Fields of papers citing papers by Long To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long To. 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 Long To. The network helps show where Long To may publish in the future.

Co-authors

The 24 scholars most cited alongside Long To, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long To Line = papers co-authored together Long To links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011126
2 201849
3 201247
4 201547
5
Radar Cross Section measurements of small Unmanned Air Vehicle Systems in non-cooperative field environments
200925
6 201324
7 200322
8 201210
9
Advanced radar cross section clutter removal algorithms
20108
10 20058
11 20091
12 20021
13
Binocular iPad Treatment for Amblyopia
20131

About Long To

Long To is a scholar working on Cognitive Neuroscience, Epidemiology, Social Psychology, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 369 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (5 papers), Visual perception and processing mechanisms (5 papers), Electromagnetic Scattering and Analysis (1 paper), Optical measurement and interference techniques (1 paper), Color Science and Applications (1 paper), Color perception and design (1 paper), Scientific Research and Discoveries (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Cognitive Neuroscience (159 citations), Ophthalmology (48 citations), Epidemiology (172 citations), Human-Computer Interaction (22 citations) and Neurology (18 citations). Long To has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Jeremy R. Cooperstock, Robert F. Hess, Benjamin Thompson, Jeffrey R. Blum, Goro Maehara, Joanna Black, Z. H. Stachurski, Robert F. Hess, Jiawei Zhou and Guangyu Wang. Their work appears in journals such as Journal of Visualized Experiments, Journal of Vision, Journal of Non-Crystalline Solids, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Vision Research.

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.

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