Ayan Sinha

16 papers receiving 1.2k citations

Ayan Sinha's Hit Papers

Imaging through glass diffusers using densely connected convolutional networks 2018 · 311 citations
3110+3+6Years since publication100200300400500

Peers

Ayan Sinha
Comparison fields: 5 of 105
  • Acoustics and Ultrasonics 310
  • Instrumentation 122
  • Computer Graphics and Computer-Aided Design 82
  • Computer Vision and Pattern Recognition 478
  • Media Technology 205
Replace Xin Jin with:
Xin Jin China
Jiachen Wu China
Xiong Dun China
Xing Lin China
David Kittle United States
Matthew O’Toole United States
Kyoji Matsushima Japan
Alexandre Goy Switzerland
Zhihai Xu China
John Moore Canada
Ayan Sinha relative to Xin Jin China Xin Jin's profile →
Citations per field
00.5×2.6×
Xin Jin · 1×
Citations per year

Countries citing papers authored by Ayan Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayan Sinha, 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 Ayan Sinha Line = papers co-authored together Ayan Sinha links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Lensless computational imaging through deep learning
Hit paper breakdown →
2017509
2
Imaging through glass diffusers using densely connected convolutional networks
Hit paper breakdown →
2018311
3 2016109
4 201797
5 201789
6 200886
7 201535
8 201721
9
Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution
201814
10 201211
11 20184
12 20183
13 20163
14 20092
15 20112
16 20201

About Ayan Sinha

Ayan Sinha is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Automotive Engineering, Statistical and Nonlinear Physics and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Injection Molding Process and Properties (2 papers), Manufacturing Process and Optimization (2 papers), Digital Holography and Microscopy (2 papers), Immune Cell Function and Interaction (2 papers), Image Processing Techniques and Applications (2 papers), 3D Shape Modeling and Analysis (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Acoustics and Ultrasonics (310 citations), Instrumentation (122 citations), Computer Graphics and Computer-Aided Design (82 citations), Computer Vision and Pattern Recognition (478 citations) and Media Technology (205 citations). Ayan Sinha has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Justin Lee, George Barbastathis, Shuai Li, Mo Deng, Shuai Li, Karthik Ramani, Chiho Choi, Yee Cheong Lam, Karthik Ramani and C. Y. Yue. Their work appears in journals such as Optica, Journal of Micromechanics and Microengineering, Journal of Mechanical Design, JCI Insight and The Journal of Immunology.

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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