Gang Luo

2.0k total citations
134 papers, 1.4k citations indexed

About

Gang Luo is a scholar working on Cognitive Neuroscience, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gang Luo has authored 134 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cognitive Neuroscience, 36 papers in Epidemiology and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gang Luo's work include Ophthalmology and Visual Impairment Studies (31 papers), Tactile and Sensory Interactions (24 papers) and Visual perception and processing mechanisms (21 papers). Gang Luo is often cited by papers focused on Ophthalmology and Visual Impairment Studies (31 papers), Tactile and Sensory Interactions (24 papers) and Visual perception and processing mechanisms (21 papers). Gang Luo collaborates with scholars based in United States, China and Singapore. Gang Luo's co-authors include Eli Peli, Shrinivas Pundlik, Alex R. Bowers, Shuhang Wang, Matteo Tomasi, Russell L. Woods, Cong Shi, Gong Chen, Fernando Vargas‐Martín and PremNandhini Satgunam and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Analytical Chemistry.

In The Last Decade

Gang Luo

123 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gang Luo United States 21 456 293 289 274 240 134 1.4k
Bosco S. Tjan United States 27 2.1k 4.5× 148 0.5× 234 0.8× 392 1.4× 241 1.0× 87 2.5k
Michael Dörr Germany 23 919 2.0× 316 1.1× 233 0.8× 782 2.9× 642 2.7× 93 2.0k
Lawrence Stark United States 23 883 1.9× 303 1.0× 467 1.6× 131 0.5× 122 0.5× 68 2.1k
Claudio M. Privitera United States 15 450 1.0× 169 0.6× 70 0.2× 528 1.9× 309 1.3× 45 1.2k
Russell L. Woods United States 27 937 2.1× 1.2k 3.9× 794 2.7× 299 1.1× 260 1.1× 134 2.5k
Hewitt D. Crane United States 16 767 1.7× 309 1.1× 189 0.7× 189 0.7× 291 1.2× 52 1.4k
Kazuhiko Ukai Japan 21 788 1.7× 183 0.6× 216 0.7× 162 0.6× 561 2.3× 56 1.4k
John A. Greenwood United Kingdom 23 1.2k 2.6× 234 0.8× 267 0.9× 195 0.7× 32 0.1× 68 1.8k
Alexander C. Schütz Germany 22 1.5k 3.3× 203 0.7× 112 0.4× 300 1.1× 250 1.0× 104 1.9k
Elizabeth L. Irving Canada 23 598 1.3× 792 2.7× 1.0k 3.6× 57 0.2× 102 0.4× 132 2.1k

Countries citing papers authored by Gang Luo

Since Specialization
Citations

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

Fields of papers citing papers by Gang Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Luo. A scholar is included among the top collaborators of Gang Luo 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 Gang Luo. Gang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luo, Gang, Jinxing Li, Ting Huang, et al.. (2025). Early life bifidobacterial mother–infant transmission: greater contribution from the infant gut to human milk revealed by microbiomic and culture-based methods. mSystems. 10(7). e0048025–e0048025. 3 indexed citations
2.
Wang, Li, Cong Shi, Shrinivas Pundlik, et al.. (2024). LLD-GAN: An end-to-end network for low-light image demosaicking. Displays. 85. 102856–102856. 2 indexed citations
3.
4.
Peli, Eli, et al.. (2022). Effects of Perceptual‐motor Training on Collision Judgments with Peripheral Prism Expanded Vision. Optometry and Vision Science. 99(12). 875–884. 1 indexed citations
5.
Pundlik, Shrinivas, et al.. (2021). Home-Use Evaluation of a Wearable Collision Warning Device for Individuals With Severe Vision Impairments. JAMA Ophthalmology. 139(9). 998–998. 4 indexed citations
6.
Singh, Abhishek, et al.. (2021). Field testing of All Aboard, an AI app for helping blind individuals to find bus stops. Investigative Ophthalmology & Visual Science. 62(8). 3529–3529. 1 indexed citations
7.
Satgunam, PremNandhini, et al.. (2021). Children with amblyopia have deficiency in searching real world images. Investigative Ophthalmology & Visual Science. 62(8). 143–143. 1 indexed citations
8.
Wang, Shuhang, et al.. (2020). Evaluation of the Driving Safety of Visually Impaired Bioptic Drivers Based on Critical Events in Naturalistic Driving. Translational Vision Science & Technology. 9(8). 14–14. 6 indexed citations
9.
Bronstad, P. Matthew, et al.. (2020). Hazard Detection With Monocular Bioptic Telescopes in a Driving Simulator. Translational Vision Science & Technology. 9(4). 26–26. 2 indexed citations
10.
Luo, Gang, et al.. (2020). Measuring Virtual Reality Headset Resolution and Field of View: Implications for Vision Care Applications. Optometry and Vision Science. 97(8). 573–582. 16 indexed citations
11.
Shi, Cong, Shrinivas Pundlik, & Gang Luo. (2020). Without low spatial frequencies, high resolution vision would be detrimental to motion perception. Journal of Vision. 20(8). 29–29. 3 indexed citations
12.
Pundlik, Shrinivas, et al.. (2018). Preliminary Evaluation of a Wearable Camera‐based Collision Warning Device for Blind Individuals. Optometry and Vision Science. 95(9). 747–756. 9 indexed citations
13.
Bowers, Alex R., et al.. (2018). Evaluation of a Paradigm to Investigate Detection of Road Hazards when Using a Bioptic Telescope. Optometry and Vision Science. 95(9). 785–794. 3 indexed citations
14.
Luo, Gang, et al.. (2012). Effect of image size on speed estimation for real world moving scenes. Journal of Vision. 12(9). 248–248. 1 indexed citations
15.
Luo, Gang, Zhengzhou Li, & Eli Peli. (2011). Mobile Electronic Magnification Device For People With Central Vision Loss. Investigative Ophthalmology & Visual Science. 52(14). 386–386. 4 indexed citations
16.
Luo, Gang, et al.. (2010). Peri-saccadic mislocalization centered at salient stimulus instead of saccade goal. Journal of Vision. 10(7). 519–519. 1 indexed citations
17.
Fu, Xianping, Gang Luo, & Eli Peli. (2009). Tracking Telescope Aiming Point for Bioptic Driving Surveillance. IPCV. 479–484. 1 indexed citations
18.
Peli, Eli, et al.. (2007). 22.4: Invited Paper : Augmented Vision Head‐Mounted Systems for Vision Impairments. SID Symposium Digest of Technical Papers. 38(1). 1074–1077. 7 indexed citations
19.
Luo, Gang & Eli Peli. (2006). Use of an Augmented-Vision Device for Visual Search by Patients with Tunnel Vision. Investigative Ophthalmology & Visual Science. 47(9). 4152–4152. 61 indexed citations
20.
Luo, Gang, et al.. (2003). Functionally Relevant Illumination Levels for Evaluation of a New Night Vision Device. Investigative Ophthalmology & Visual Science. 44(13). 2772–2772. 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.

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