Phyo Phyo San

1.6k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Phyo Phyo San is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience. According to data from OpenAlex, Phyo Phyo San has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cognitive Neuroscience. Recurrent topics in Phyo Phyo San's work include Diabetes Management and Research (12 papers), ECG Monitoring and Analysis (11 papers) and Heart Rate Variability and Autonomic Control (7 papers). Phyo Phyo San is often cited by papers focused on Diabetes Management and Research (12 papers), ECG Monitoring and Analysis (11 papers) and Heart Rate Variability and Autonomic Control (7 papers). Phyo Phyo San collaborates with scholars based in Australia, Singapore and United Kingdom. Phyo Phyo San's co-authors include Jian Yang, Minh Nhut Nguyen, Shonali Krishnaswamy, Xiaoli Li, Sai Ho Ling, Hung T. Nguyen, Beibei Ren, Shuzhi Sam Ge, Tong Heng Lee and Rifai Chai and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Phyo Phyo San

24 papers receiving 1.2k 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.

Deep convolutional neural networks on multichannel time series for human activity recognition

2015 668 citations Jian Yang, Minh Nhut Nguyen et al. International Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Phyo Phyo San Australia	13	466	319	284	183	174	24	1.2k
Κωνσταντίνος Μουστάκας Greece	21	428 0.9×	193 0.6×	224 0.8×	93 0.5×	72 0.4×	189	1.6k
Jeen-Shing Wang Taiwan	21	684 1.5×	607 1.9×	455 1.6×	344 1.9×	166 1.0×	60	2.1k
Amit M. Joshi India	20	197 0.4×	133 0.4×	502 1.8×	110 0.6×	107 0.6×	142	1.5k
Md Atiqur Rahman Ahad Bangladesh	25	1.1k 2.4×	358 1.1×	635 2.2×	78 0.4×	159 0.9×	153	2.0k
Maheshkumar H. Kolekar India	26	652 1.4×	291 0.9×	243 0.9×	112 0.6×	79 0.5×	99	1.7k
Marwa Qaraqe Qatar	20	136 0.3×	249 0.8×	204 0.7×	88 0.5×	337 1.9×	150	1.4k
Jit Biswas Singapore	22	520 1.1×	200 0.6×	261 0.9×	54 0.3×	459 2.6×	93	1.3k
Neila Mezghani Canada	18	239 0.5×	150 0.5×	333 1.2×	207 1.1×	46 0.3×	102	1.2k
Raman Paranjape Canada	17	362 0.8×	192 0.6×	156 0.5×	164 0.9×	93 0.5×	108	1.5k
Hongyu Zhao China	25	654 1.4×	471 1.5×	1.1k 3.8×	117 0.6×	157 0.9×	83	2.3k

Countries citing papers authored by Phyo Phyo San

Since Specialization

Citations

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

Fields of papers citing papers by Phyo Phyo San

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phyo Phyo San

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Chai, Rifai, Sai Ho Ling, Phyo Phyo San, et al.. (2017). Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks. Frontiers in Neuroscience. 11. 103–103. 121 indexed citations

Ling, Sai Ho, Phyo Phyo San, & Hung T. Nguyen. (2016). Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes. ISA Transactions. 64. 440–446. 53 indexed citations

San, Phyo Phyo, Sai Ho Ling, Rifai Chai, et al.. (2016). EEG-based driver fatigue detection using hybrid deep generic model. PubMed. 2016. 800–803. 27 indexed citations

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2016). Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes. PubMed. 2016. 3503–3506. 33 indexed citations

Yang, Jian, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, & Shonali Krishnaswamy. (2015). Deep convolutional neural networks on multichannel time series for human activity recognition. International Conference on Artificial Intelligence. 3995–4001. 668 indexed citations breakdown →

Ling, Sai Ho, Phyo Phyo San, Hak‐Keung Lam, & Hung T. Nguyen. (2015). Hypoglycemia detection: multiple regression-based combinational neural logic approach. Soft Computing. 21(2). 543–553. 12 indexed citations

Roy, Subhrajit, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, & Arindam Basu. (2015). Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Transactions on Neural Networks and Learning Systems. 27(7). 1572–1577. 14 indexed citations

San, Phyo Phyo, Shaista Hussain, & Arindam Basu. (2014). Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites. 47. 3192–3196. 4 indexed citations

Ling, Sai Ho, Phyo Phyo San, Hak‐Keung Lam, & Hung T. Nguyen. (2014). Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural system. Swinburne Research Bank (Swinburne University of Technology). 3. 1238–1242. 7 indexed citations

10.

Ling, Sai Ho, et al.. (2014). An intelligent swarm based-wavelet neural network for affective mobile phone design. Neurocomputing. 142. 30–38. 9 indexed citations

11.

San, Phyo Phyo, et al.. (2014). A novel extreme learning machine for hypoglycemia detection. PubMed. 8. 302–305. 7 indexed citations

12.

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2013). Combinational neural logic system and its industrial application on hypoglycemia monitoring system. Swinburne Research Bank (Swinburne University of Technology). 6. 947–952. 2 indexed citations

13.

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2012). Intelligent detection of hypoglycemic episodes in children with type 1 diabetes using adaptive neural-fuzzy inference system. PubMed. 2012. 6325–6328. 10 indexed citations

14.

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2012). Industrial Application of Evolvable Block-Based Neural Network to Hypoglycemia Monitoring System. IEEE Transactions on Industrial Electronics. 60(12). 5892–5901. 13 indexed citations

15.

Ling, Sai Ho, Phyo Phyo San, Hung T. Nguyen, & F.H.F. Leung. (2012). NON-INVASIVE NOCTURNAL HYPOGLYCEMIA DETECTION FOR INSULIN-DEPENDENT DIABETES MELLITUS USING GENETIC FUZZY LOGIC METHOD. International Journal of Computational Intelligence and Applications. 11(4). 1250025–1250025. 1 indexed citations

16.

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2012). Hybrid particle swarm optimization based normalized radial basis function neural network for hypoglycemia detection. Figshare. 3. 1–6. 4 indexed citations

17.

San, Phyo Phyo, Sai Ho Ling, & Hung T. Nguyen. (2011). Block based neural network for hypoglycemia detection. PubMed. 2011. 5666–5669. 15 indexed citations

18.

San, Phyo Phyo, Beibei Ren, Shuzhi Sam Ge, Tong Heng Lee, & Jinkun Liu. (2010). Adaptive Neural Network Control of Hard Disk Drives With Hysteresis Friction Nonlinearity. IEEE Transactions on Control Systems Technology. 19(2). 351–358. 33 indexed citations

19.

Ren, Beibei, Phyo Phyo San, Shuzhi Sam Ge, & Tong Heng Lee. (2009). Adaptive dynamic surface control for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis. National University of Singapore. 4482–4487. 94 indexed citations

20.

Ren, Beibei, Phyo Phyo San, Shuzhi Sam Ge, & Tong Heng Lee. (2008). Robust Adaptive Control of Hard Disk Drives with Hysteresis Friction Nonlinearity in Mobile Applications. IFAC Proceedings Volumes. 41(2). 2538–2543. 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.

Explore authors with similar magnitude of impact