Surat Teerapittayanon

3.5k total citations · 3 hit papers
18 papers, 2.3k citations indexed

About

Surat Teerapittayanon is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Surat Teerapittayanon has authored 18 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Biomedical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Surat Teerapittayanon's work include Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Surat Teerapittayanon is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Advanced Neural Network Applications (3 papers) and Biosensors and Analytical Detection (3 papers). Surat Teerapittayanon collaborates with scholars based in Thailand, United States and United Kingdom. Surat Teerapittayanon's co-authors include H. T. Kung, Bradley McDanel, George M. Church, Alejandro Vázquez, William M. Shih, Shawn M. Douglas, Adam Marblestone, Itthi Chatnuntawech, Sirawaj Itthipuripat and Chaipat Chunharas and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Surat Teerapittayanon

17 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rapid prototyping of 3D DNA-origami shapes with caDNAno

2009 955 citations Shawn M. Douglas, Adam Marblestone et al. Nucleic Acids Research profile →
BranchyNet: Fast inference via early exiting from deep neural networks

2016 692 citations Surat Teerapittayanon, Bradley McDanel et al. profile →
Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices

2017 528 citations Surat Teerapittayanon, Bradley McDanel et al. Digital Access to Scholarship at Harvard (DASH) (Harvard University) profile →

Peers

Countries citing papers authored by Surat Teerapittayanon

Since Specialization

Citations

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

Fields of papers citing papers by Surat Teerapittayanon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surat Teerapittayanon

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

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Structural and Kinetic Profiling of Rolling Circle Amplification via Solid-State Nanopore Sensing Using miR-21 as a Model 2025 ·ACS Sensors ·(unknown), (unknown), (unknown), Ibrar Alam, Alongkot Treetong, (unknown), Itthi Chatnuntawech, Surat Teerapittayanon, Ulrich F. Keyser, Albert Schulte, Deanpen Japrung	0
2	Investigating nanotoxicity: uncovering associations and predictive factors through machine learning analysis of published literature 2025 ·Environmental Science Nano ·Monrudee Liangruksa, (unknown), (unknown), (unknown), (unknown), Teeraphan Laomettachit, Surat Teerapittayanon	1
3	Enhancing efficiency in detection of COVID-19 through AI-driven colorimetric isothermal detection with multiplex primers 2024 ·Diagnostic Microbiology and Infectious Disease ·Wansadaj Jaroenram, Surat Teerapittayanon, Rapheephat Suvannakad, (unknown), Jantana Kampeera, Narong Arunrut, (unknown), Sarawut Sirithammajak, (unknown), (unknown), (unknown), Pornsawan Leaungwutiwong, Itthi Chatnuntawech, Wansika Kiatpathomchai	2
4	Blip-up blip-down circular EPI (BUDA-cEPI) for distortion-free dMRI with rapid unrolled deep learning reconstruction 2024 ·Magnetic Resonance Imaging ·Uten Yarach, Itthi Chatnuntawech, Congyu Liao, Surat Teerapittayanon, Siddharth Iyer, Tae Hyung Kim, Justin P. Haldar, Jaejin Cho, Berkin Bilgic̦, Yuxin Hu, Brian A. Hargreaves, Kawin Setsompop	1
5	Rapid reconstruction of Blip up-down circular EPI (BUDA-cEPI) for distortion-free dMRI using an Unrolled Network with U-Net as Priors 2023 ·Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition ·Uten Yarach, Itthi Chatnuntawech, Congyu Liao, Surat Teerapittayanon, Siddharth Iyer, Tae Hyung Kim, Jaejin Cho, Berkin Bilgic̦, Yuxin Hu, Brian A. Hargreaves, Kawin Setsompop	1
6	AI-driven colorimetric nucleic acid test for tilapia lake virus: A large-scale, point-of-care diagnostic model for future emerging diseases 2023 ·Aquaculture ·Wansadaj Jaroenram, Surat Teerapittayanon, Jantana Kampeera, Rapheephat Suvannakad, Saengchan Senapin, (unknown), Itthi Chatnuntawech, Wansika Kiatpathomchai	2
7	Attentive pairwise interaction network for AI-assisted clock drawing test assessment of early visuospatial deficits 2023 ·Scientific Reports ·(unknown), Surat Teerapittayanon, Sirawaj Itthipuripat, Kearkiat Praditpornsilpa, (unknown), (unknown), Chaipat Chunharas, Itthi Chatnuntawech	7
8	One-step colorimetric isothermal detection of COVID-19 with AI-assisted automated result analysis: A platform model for future emerging point-of-care RNA/DNA disease diagnosis 2022 ·Talanta ·Wansadaj Jaroenram, Itthi Chatnuntawech, Jantana Kampeera, (unknown), Pornsawan Leaungwutiwong, (unknown), Sarawut Sirithammajak, Rapheephat Suvannakad, (unknown), (unknown), Narong Arunrut, (unknown), Wang Nguitragool, (unknown), Paisan Khanchaitit, Jetsumon Sattabongkot, Surat Teerapittayanon, Wansika Kiatpathomchai	21
9	An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks 2022 ·Alzheimer s Research & Therapy ·(unknown), Itthi Chatnuntawech, Surat Teerapittayanon, Sira Sriswasdi, Sirawaj Itthipuripat, Solaphat Hemrungrojn, (unknown), (unknown), (unknown), (unknown), Chaipat Chunharas	22
10	Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study 2022 ·IEEE Transactions on Geoscience and Remote Sensing ·(unknown), Itthi Chatnuntawech, Surat Teerapittayanon, (unknown), (unknown), (unknown), Theerawit Wilaiprasitporn, Supasorn Suwajanakorn	9
11	DaiMoN: A Decentralized Artificial Intelligence Model Network 2019 ·Surat Teerapittayanon, H. T. Kung	2
12	Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference 2017 ·Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·(unknown), Surat Teerapittayanon, H. T. Kung	2
13	Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices breakdown → 2017 ·Digital Access to Scholarship at Harvard (DASH) (Harvard University) ·Surat Teerapittayanon, Bradley McDanel, H. T. Kung	528
14	BranchyNet: Fast inference via early exiting from deep neural networks breakdown → 2016 ·Surat Teerapittayanon, Bradley McDanel, H. T. Kung	692
15	Lambda means clustering: Automatic parameter search and distributed computing implementation 2016 ·(unknown), Miriam Cha, H. T. Kung, Surat Teerapittayanon	5
16	Compressive wireless pulse sensing 2015 ·(unknown), (unknown), H. T. Kung, Surat Teerapittayanon	4
17	Beyond 2010 ·Jinha Lee, Surat Teerapittayanon, Hiroshi Ishii	1
18	Rapid prototyping of 3D DNA-origami shapes with caDNAno breakdown → 2009 ·Nucleic Acids Research ·Shawn M. Douglas, Adam Marblestone, Surat Teerapittayanon, Alejandro Vázquez, George M. Church, William M. Shih	955

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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