Sang Chin

961 total citations
52 papers, 547 citations indexed

About

Sang Chin is a scholar working on Computational Mechanics, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sang Chin has authored 52 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computational Mechanics, 20 papers in Biomedical Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sang Chin's work include Sparse and Compressive Sensing Techniques (25 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). Sang Chin is often cited by papers focused on Sparse and Compressive Sensing Techniques (25 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). Sang Chin collaborates with scholars based in United States, United Kingdom and France. Sang Chin's co-authors include Trac D. Tran, Dũng Trần, Ralph Etienne‐Cummings, Mark A. Foster, Yuanming Suo, Tao Xiong, Jie Zhang, Bryan T. Bosworth, Jaewook Shin and Srinjoy Mitra and has published in prestigious journals such as Science Advances, Optics Letters and Optics Express.

In The Last Decade

Sang Chin

49 papers receiving 520 citations

Peers

Countries citing papers authored by Sang Chin

Since Specialization

Citations

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

Fields of papers citing papers by Sang Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Chin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Adversarial Learning for MRI Reconstruction and Classification of Cognitively Impaired Individuals 2024 ·IEEE Access ·Xiao Zhou, Akshara R. Balachandra, Michael F. Romano, Sang Chin, Rhoda Au, Vijaya B. Kolachalama	1
2	Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning 2021 ·Alzheimer s Research & Therapy ·Xiao Zhou, Shangran Qiu, Prajakta Joshi, Chonghua Xue, Ronald Killiany, Asim Mian, Sang Chin, Rhoda Au, Vijaya B. Kolachalama	56
3	A minimally invasive lens-free computational microendoscope 2019 ·Science Advances ·Jaewook Shin, Dũng Trần, (unknown), Sang Chin, Trac D. Tran, Mark A. Foster	48
4	Optical coherence tomography using physical domain data compression to achieve MHz A-scan rates 2019 ·Optics Express ·(unknown), (unknown), Sang Chin, Trac D. Tran, Mark A. Foster	5
5	Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses 2019 ·Xiao Wang, (unknown), Pin‐Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin	25
6	Widefield compressive multiphoton microscopy 2018 ·Optics Letters ·(unknown), Jaewook Shin, Dũng Trần, (unknown), Sang Chin, Trac D. Tran, Mark A. Foster	10
7	Using Deep Learning to Extract Scenery Information in Real Time Spatiotemporal Compressed Sensing 2018 ·Xiao Wang, Jie Zhang, Tao Xiong, Trac D. Tran, Sang Chin, Ralph Etienne‐Cummings	4
8	A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations 2018 ·Sang Chin, Trac D. Tran, (unknown), (unknown)	0
9	Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. 2017 ·arXiv (Cornell University) ·(unknown), (unknown), Ashish Arora, (unknown), Amitabh Basu, Sang Chin, Trac D. Tran	2
10	A Mathematical Analysis of Network Controllability Through Driver Nodes 2017 ·IEEE Transactions on Computational Social Systems ·Sang Chin, Jonathan D. Cohen, (unknown), (unknown), (unknown), Gavin M. Brown, (unknown)	5
11	Neuromorphic sampling on the SpiNNaker and parallella chip multiprocessors 2016 ·Research Explorer (The University of Manchester) ·(unknown), Sang Chin, Steve Furber, Andreas G. Andreou	4
12	72 MHz A-scan optical coherence tomography using continuous high-rate photonically-enabled compressed sensing (CHiRP-CS) 2016 ·Conference on Lasers and Electro-Optics ·(unknown), Bryan T. Bosworth, Dũng Trần, Trac D. Tran, Sang Chin, Mark A. Foster	2
13	Low-rank matrices recovery via entropy function 2016 ·Dũng Trần, Sang Chin, Trac D. Tran, Shuai Huang	6
14	Partial face recognition: A sparse representation-based approach 2016 ·(unknown), Trac D. Tran, Sang Chin	11
15	Predicting local field potentials with recurrent neural networks 2016 ·PubMed ·Louis Y. Kim, (unknown), (unknown), (unknown), Philip D. Parks, Alik S. Widge, Emad N. Eskandar, Darin D. Dougherty, Sang Chin	5
16	An unsupervised dictionary learning algorithm for neural recordings 2015 ·Tao Xiong, Jie Zhang, Yuanming Suo, Dũng Trần, Ralph Etienne‐Cummings, Sang Chin, (unknown)	9
17	Ultrawideband compressed sensing of arbitrary multi-tone sparse radio frequencies using spectrally encoded ultrafast laser pulses 2015 ·Optics Letters ·Bryan T. Bosworth, (unknown), Dũng Trần, Trac D. Tran, Sang Chin, Mark A. Foster	27
18	Geometric multi-resolution analysis based classification for high dimensional data 2014 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Dũng Trần, Sang Chin	4
19	Video frame interpolation via weighted robust principal component analysis 2013 ·Minh N. Dao, Yuanming Suo, Sang Chin, Trac D. Tran	6
20	Transportation demand forecasting with a computer-simulated neural network model 1992 ·Sang Chin, (unknown), Shaw‐Pin Miaou	10

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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