Sang Chin
- Biomedical Engineering
- Computational Mechanics top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Trac D. TranDũng TrầnRalph Etienne‐CummingsMark A. FosterYuanming SuoTao XiongJie ZhangBryan T. Bosworth
- Topics
- Sparse and Compressive Sensing Techniques (25 papers)Advanced Fluorescence Microscopy Techniques (10 papers)Photoacoustic and Ultrasonic Imaging (9 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Sang Chin
49 papers receiving 520 citations
Peers
Comparison fields: 5 of 71
- Biomedical Engineering 173
- Computational Mechanics 166
- Electrical and Electronic Engineering 152
- Artificial Intelligence 101
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by Sang Chin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 56 | |
| 3 | 48 | |
| 4 | 5 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | Critical Points Of An Autoencoder Can Provably Recover Sparsely Used Overcomplete Dictionaries. | 2 |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 27 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | Transportation demand forecasting with a computer-simulated neural network model | 10 |
About Sang Chin
Sang Chin is a scholar working on Acoustics and Ultrasonics, Biophysics and Computational Mechanics, having authored 52 papers that have together received 547 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Photoacoustic and Ultrasonic Imaging (9 papers). The work is most often cited by research in Acoustics and Ultrasonics (70 citations), Biophysics (64 citations) and Instrumentation (38 citations). Sang Chin has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as Science Advances, Optics Letters and Optics Express.
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.