Chaoran Huang

2.5k total citations · 2 hit papers
57 papers, 1.6k citations indexed

About

Chaoran Huang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Neurology. According to data from OpenAlex, Chaoran Huang has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 30 papers in Artificial Intelligence and 7 papers in Neurology. Recurrent topics in Chaoran Huang's work include Optical Network Technologies (30 papers), Neural Networks and Reservoir Computing (27 papers) and Photonic and Optical Devices (26 papers). Chaoran Huang is often cited by papers focused on Optical Network Technologies (30 papers), Neural Networks and Reservoir Computing (27 papers) and Photonic and Optical Devices (26 papers). Chaoran Huang collaborates with scholars based in Hong Kong, China and United States. Chaoran Huang's co-authors include Paul R. Prucnal, Aashu Jha, E. Woo, Bhavin J. Shastri, Thomas Ferreira de Lima, Eric C. Blow, Hsuan-Tung Peng, Simon Bilodeau, Alexander N. Tait and Qiming Zhang and has published in prestigious journals such as Nature, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Chaoran Huang

49 papers receiving 1.5k citations

Hit Papers

Photonic matrix multiplication lights up photonic acceler... 2022 2026 2023 2024 2022 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoran Huang Hong Kong 19 1.1k 915 194 186 178 57 1.6k
Yoon‐Chul Kim South Korea 20 53 0.0× 212 0.2× 157 0.8× 65 0.3× 87 0.5× 71 1.3k
Shuna Yang China 19 225 0.2× 18 0.0× 145 0.7× 212 1.1× 167 0.9× 102 1.1k
Rui Cao United States 21 87 0.1× 54 0.1× 43 0.2× 21 0.1× 120 0.7× 72 1.4k
Hirotaka Ono Japan 28 2.3k 2.0× 19 0.0× 20 0.1× 31 0.2× 371 2.1× 141 2.9k
Louise Allard Canada 18 144 0.1× 36 0.0× 53 0.3× 47 0.3× 65 0.4× 51 749
Congzhi Wang China 17 52 0.0× 187 0.2× 63 0.3× 12 0.1× 16 0.1× 49 1.0k
Bradley D. Clymer United States 15 105 0.1× 62 0.1× 22 0.1× 11 0.1× 66 0.4× 61 747
Sebastian Krinner Germany 22 110 0.1× 532 0.6× 162 0.8× 5 0.0× 1.1k 6.3× 55 2.0k
Alan C. Nelson United States 15 28 0.0× 92 0.1× 119 0.6× 13 0.1× 89 0.5× 51 1.2k

Countries citing papers authored by Chaoran Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoran Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoran Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoran Huang. A scholar is included among the top collaborators of Chaoran Huang 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 Chaoran Huang. Chaoran Huang 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.
Wu, Bo, Chaoran Huang, J. W. Zhang, et al.. (2025). Scaling up for end-to-end on-chip photonic neural network inference. Light Science & Applications. 14(1). 328–328. 1 indexed citations
2.
Aadhi, A., et al.. (2025). Fully integrated hybrid multimode-multiwavelength photonic processor with picosecond latency. Nature Communications. 17(1). 28–28.
3.
Aadhi, A., et al.. (2025). Programmable 200 GOPS Hopfield-inspired photonic Ising machine. Nature. 648(8094). 576–584.
5.
Tsang, Hon Ki, et al.. (2024). Meta‐Optics Based Parallel Convolutional Processing for Neural Network Accelerator. Laser & Photonics Review. 18(11). 5 indexed citations
6.
Wang, Dongliang, et al.. (2024). Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS. Nature Communications. 15(1). 10841–10841. 22 indexed citations
7.
Zhang, Jiawei, Zeyu Luo, Ming‐Cheng Luo, et al.. (2024). Control-free and efficient integrated photonic neural networks via hardware-aware training and pruning. Optica. 11(8). 1039–1039. 12 indexed citations
9.
Zhang, Chengguo, et al.. (2024). Multimodal data fusion for geo-hazard prediction in underground mining operation. Computers & Industrial Engineering. 193. 110268–110268. 4 indexed citations
10.
Zhou, Hailong, Jianji Dong, Junwei Cheng, et al.. (2022). Photonic matrix multiplication lights up photonic accelerator and beyond. Light Science & Applications. 11(1). 30–30. 321 indexed citations breakdown →
11.
Zhang, Weipeng, Chaoran Huang, Hsuan-Tung Peng, et al.. (2022). Silicon microring synapses enable photonic deep learning beyond 9-bit precision. Optica. 9(5). 579–579. 107 indexed citations
12.
Jha, Aashu, Chaoran Huang, Hsuan-Tung Peng, et al.. (2022). High-speed time series prediction and classification on an all-optical neural network. Optical Fiber Communication Conference (OFC) 2022. Tu3G.3–Tu3G.3. 2 indexed citations
13.
Jha, Aashu, Chaoran Huang, & Paul R. Prucnal. (2020). Reconfigurable all-optical nonlinear activation functions for neuromorphic photonics. Optics Letters. 45(17). 4819–4819. 120 indexed citations
14.
Jha, Aashu, Chaoran Huang, Thomas Ferreira de Lima, & Paul R. Prucnal. (2020). High-speed all-optical thresholding via carrier lifetime tunability. Optics Letters. 45(8). 2287–2287. 3 indexed citations
15.
Huang, Chaoran, Simon Bilodeau, Thomas Ferreira de Lima, et al.. (2020). Demonstration of scalable microring weight bank control for large-scale photonic integrated circuits. APL Photonics. 5(4). 40803–40803. 85 indexed citations
16.
Jha, Aashu, Thomas Ferreira de Lima, Hooman Saeidi, et al.. (2020). Lateral bipolar junction transistor on a silicon photonics platform. Optics Express. 28(8). 11692–11692. 7 indexed citations
17.
Philip, Y., Alexander N. Tait, Weipeng Zhang, et al.. (2020). Blind source separation with integrated photonics and reduced dimensional statistics. Optics Letters. 45(23). 6494–6494. 16 indexed citations
18.
Huang, Chaoran, Y. Philip, Eric C. Blow, Prateek Mittal, & Paul R. Prucnal. (2019). Accelerated secure key distribution based on localized and asymmetric fiber interferometers. Optics Express. 27(22). 32096–32096. 22 indexed citations
19.
Philip, Y., Alexander N. Tait, Thomas Ferreira de Lima, et al.. (2019). Photonic independent component analysis using an on-chip microring weight bank. Optics Express. 28(2). 1827–1827. 29 indexed citations
20.
Tsoi, T.H., et al.. (2008). Using the National Institutes of Health Stroke Scale (NIHSS) to predict the mortality and outcome of patients with intracerebral haemorrhage.. PubMed. 14(5). 367–70. 30 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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