Sunny Chugh

848 total citations
13 papers, 623 citations indexed

About

Sunny Chugh is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Sunny Chugh has authored 13 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Biomedical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Sunny Chugh's work include Graphene research and applications (6 papers), Plasmonic and Surface Plasmon Research (5 papers) and Advanced Fiber Optic Sensors (3 papers). Sunny Chugh is often cited by papers focused on Graphene research and applications (6 papers), Plasmonic and Surface Plasmon Research (5 papers) and Advanced Fiber Optic Sensors (3 papers). Sunny Chugh collaborates with scholars based in United States, United Kingdom and India. Sunny Chugh's co-authors include Zhihong Chen, R. R. Mehta, Souvik Ghosh, B. M. A. Rahman, Ning Lü, Moon J. Kim, Kevin J. Webb, S. Sridevi, N. Ayyanar and Eric Pop and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Scientific Reports.

In The Last Decade

Sunny Chugh

13 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunny Chugh United States 10 405 258 176 145 121 13 623
Gregory A. Ten Eyck United States 16 479 1.2× 213 0.8× 135 0.8× 199 1.4× 310 2.6× 33 762
Henry A. Fernández Finland 13 327 0.8× 319 1.2× 200 1.1× 75 0.5× 191 1.6× 23 622
Dongfang Li United States 14 279 0.7× 199 0.8× 231 1.3× 219 1.5× 188 1.6× 33 603
E. Hourdakis Greece 15 467 1.2× 319 1.2× 164 0.9× 59 0.4× 139 1.1× 41 626
Mustafa Karabiyik United States 14 417 1.0× 232 0.9× 360 2.0× 270 1.9× 174 1.4× 44 717
Jie Fang China 16 336 0.8× 339 1.3× 200 1.1× 84 0.6× 154 1.3× 38 622
A. Benhaya Algeria 16 514 1.3× 384 1.5× 102 0.6× 141 1.0× 80 0.7× 49 668
Jianghong Wu China 15 522 1.3× 447 1.7× 274 1.6× 133 0.9× 172 1.4× 32 801
Guillaume Froehlicher France 16 499 1.2× 845 3.3× 213 1.2× 82 0.6× 179 1.5× 19 1.1k
Joe V. Carpenter United States 8 360 0.9× 164 0.6× 159 0.9× 207 1.4× 146 1.2× 14 617

Countries citing papers authored by Sunny Chugh

Since Specialization
Citations

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

Fields of papers citing papers by Sunny Chugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunny Chugh

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

All Works

13 of 13 papers shown
1.
Chugh, Sunny, et al.. (2023). A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers. Scientific Reports. 13(1). 1129–1129. 25 indexed citations
2.
Sridevi, S., et al.. (2022). Deep Learning Based Data Augmentation and Behavior Prediction of Photonic Crystal Fiber Temperature Sensor. IEEE Sensors Journal. 22(7). 6832–6839. 18 indexed citations
3.
Chugh, Sunny, et al.. (2022). Artificial Neural Network Modelling for Optimizing the Optical Parameters of Plasmonic Paired Nanostructures. Nanomaterials. 12(1). 170–170. 16 indexed citations
4.
Prasad, C., Sunny Chugh, M. A. Maksud, et al.. (2020). Silicon Reliability Characterization of Intel’s Foveros 3D Integration Technology for Logic-on-Logic Die Stacking. 8 indexed citations
5.
Chugh, Sunny, et al.. (2019). Machine Learning Regression Approach to the Nanophotonic Waveguide Analyses. Journal of Lightwave Technology. 37(24). 6080–6089. 61 indexed citations
6.
Chugh, Sunny, et al.. (2019). Machine learning approach for computing optical properties of a photonic crystal fiber. Optics Express. 27(25). 36414–36414. 153 indexed citations
7.
Mehta, R. R., Sunny Chugh, & Zhihong Chen. (2017). Transfer-free multi-layer graphene as a diffusion barrier. Nanoscale. 9(5). 1827–1833. 42 indexed citations
8.
Lo, Chun‐Li, Kirby K. H. Smithe, R. R. Mehta, et al.. (2017). Atomically thin diffusion barriers for ultra-scaled Cu interconnects implemented by 2D materials. MR–4.1. 9 indexed citations
9.
Chugh, Sunny, et al.. (2016). Optical Relaxation Time Enhancement in Graphene-Passivated Metal Films. Scientific Reports. 6(1). 30519–30519. 3 indexed citations
10.
Mehta, R. R., Sunny Chugh, & Zhihong Chen. (2015). Enhanced Electrical and Thermal Conduction in Graphene-Encapsulated Copper Nanowires. Nano Letters. 15(3). 2024–2030. 204 indexed citations
11.
Chugh, Sunny, et al.. (2015). Ultra-dark graphene stack metamaterials. Applied Physics Letters. 106(6). 14 indexed citations
12.
Chugh, Sunny, et al.. (2015). Comparison of graphene growth on arbitrary non-catalytic substrates using low-temperature PECVD. Carbon. 93. 393–399. 68 indexed citations
13.
Webb, Kevin J., et al.. (2014). Graphene Stacks as the Darkest Material}. SM3H.3–SM3H.3. 2 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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2026