Institution · Ngee Ann Polytechnic
Most cited papers from Ngee Ann Polytechnic
What are the most cited papers from Ngee Ann Polytechnic?
The most cited paper from Ngee Ann Polytechnic is "Heart rate variability: a review" (U. Rajendra Acharya, K. Paul Joseph, N. Kannathal et al., 2006), with 2,846 citations. Next come "A review of uncertainty quantification in deep learning: Techniques, applications and challenges" (2,702) and "Automated detection of COVID-19 cases using deep neural networks with X-ray images" (2,702).
Showing 50 of 60 papers. Every paper with more than 310 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Heart rate variability: a review U. Rajendra Acharya, K. Paul Joseph, N. Kannathal et al. · Medical & Biological Engineering & Computing | 16 Nov 2006 | 2,846 |
| 2 | A review of uncertainty quantification in deep learning: Techniques, applications and challenges Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al. · Information Fusion | 23 May 2021 | 2,702 |
| 3 | Automated detection of COVID-19 cases using deep neural networks with X-ray images Tülin Öztürk, Muhammed Talo, Eylul Azra Yildirim et al. · Computers in Biology and Medicine | 28 Apr 2020 | 2,702 |
| 4 | Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara et al. · Computers in Biology and Medicine | 28 Sep 2017 | 1,670 |
| 5 | A deep convolutional neural network model to classify heartbeats U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara et al. · Computers in Biology and Medicine | 25 Aug 2017 | 1,426 |
| 6 | Deep learning for healthcare applications based on physiological signals: A review Oliver Faust, Yuki Hagiwara, Tan Jen Hong et al. · Computer Methods and Programs in Biomedicine | 11 Apr 2018 | 1,046 |
| 7 | Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh et al. · Information Sciences | 23 Jun 2017 | 951 |
| 8 | Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya et al. · Computers in Biology and Medicine | 29 Apr 2020 | 882 |
| 9 | Arrhythmia detection using deep convolutional neural network with long duration ECG signals Özal Yıldırım, Paweł Pławiak, Ru‐San Tan et al. · Computers in Biology and Medicine | 15 Sep 2018 | 867 |
| 10 | Automated EEG analysis of epilepsy: A review U. Rajendra Acharya, S. Vinitha Sree, G. Swapna et al. · Knowledge-Based Systems | 5 Mar 2013 | 847 |
| 11 | Review of material research and development for vanadium redox flow battery applications Aishwarya Parasuraman, Tuti Mariana Lim, Chris Menictas et al. · Electrochimica Acta | 28 Sep 2012 | 783 |
| 12 | Entropies for detection of epilepsy in EEG N. Kannathal, Min Lim Choo, U. Rajendra Acharya et al. · Computer Methods and Programs in Biomedicine | 11 Oct 2005 | 764 |
| 13 | Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih et al. · Information Sciences | 8 Apr 2017 | 761 |
| 14 | ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar et al. · Future Generation Computer Systems | 3 Sep 2020 | 751 |
| 15 | Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats Shu Lih Oh, E. Y. K. Ng, Ru‐San Tan et al. · Computers in Biology and Medicine | 5 Jun 2018 | 730 |
| 16 | ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform Roshan Joy Martis, U. Rajendra Acharya, Lim Choo Min · Biomedical Signal Processing and Control | 11 Feb 2013 | 729 |
| 17 | Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022) Hui Wen Loh, Chui Ping Ooi, Silvia Seoni et al. · Computer Methods and Programs in Biomedicine | 26 Sep 2022 | 724 |
| 18 | Automated EEG-based screening of depression using deep convolutional neural network U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara et al. · Computer Methods and Programs in Biomedicine | 18 Apr 2018 | 653 |
| 19 | A deep learning approach for Parkinson’s disease diagnosis from EEG signals Shu Lih Oh, Yuki Hagiwara, U. Raghavendra et al. · Neural Computing and Applications | 30 Aug 2018 | 633 |
| 20 | EEG Signal Analysis: A Survey D. Puthankattil Subha, Paul K. Joseph, U. Rajendra Acharya et al. · Journal of Medical Systems | 5 Dec 2008 | 633 |
| 21 | Automated diagnosis of epileptic EEG using entropies U. Rajendra Acharya, Filippo Molinari, S. Vinitha Sree et al. · Biomedical Signal Processing and Control | 21 Aug 2011 | 630 |
| 22 | Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis Oliver Faust, U. Rajendra Acharya, Hojjat Adeli et al. · Seizure | 24 Jan 2015 | 572 |
| 23 | Synthesis of porous NiO nanocrystals with controllable surface area and their application as supercapacitor electrodes Xiaojun Zhang, Wenhui Shi, Jixin Zhu et al. · Nano Research | Sep 2010 | 568 |
| 24 | SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya · PLoS ONE | 7 May 2019 | 536 |
| 25 | Application of deep transfer learning for automated brain abnormality classification using MR images Muhammed Talo, Ulaş Baran Baloğlu, Özal Yıldırım et al. · Cognitive Systems Research | 21 Dec 2018 | 514 |
| 26 | Recovery of lithium from Uyuni salar brine Jeon Woong An, Dong Jun Kang, Khuyen Thi Tran et al. · Hydrometallurgy | 16 Feb 2012 | 511 |
| 27 | Application of entropies for automated diagnosis of epilepsy using EEG signals: A review U. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan et al. · Knowledge-Based Systems | 17 Aug 2015 | 494 |
| 28 | Classification of myocardial infarction with multi-lead ECG signals and deep CNN Ulaş Baran Baloğlu, Muhammed Talo, Özal Yıldırım et al. · Pattern Recognition Letters | 12 Feb 2019 | 478 |
| 29 | Microwave-assisted beneficiation of recycled concrete aggregates Ali Akbarnezhad, K. C. G. Ong, M.H. Zhang et al. · Construction and Building Materials | 14 Apr 2011 | 478 |
| 30 | Epileptic Seizures Detection Using Deep Learning Techniques: A Review Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi et al. · International Journal of Environmental Research and Public Health | 27 May 2021 | 463 |
| 31 | The use of ARIMA models for reliability forecasting and analysis Sze Ling Ho, Min Xie · Computers & Industrial Engineering | Oct 1998 | 460 |
| 32 | Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images U. Raghavendra, Hamido Fujita, Sulatha V. Bhandary et al. · Information Sciences | 2 Feb 2018 | 455 |
| 33 | Computer-aided diagnosis of diabetic retinopathy: A review Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Chua Kuang Chua et al. · Computers in Biology and Medicine | 14 Oct 2013 | 436 |
| 34 | Membranes for Redox Flow Battery Applications Helen Prifti, Aishwarya Parasuraman, Suminto Winardi et al. · Membranes | 19 Jun 2012 | 429 |
| 35 | Non-linear analysis of EEG signals at various sleep stages U. Rajendra Acharya, Oliver Faust, N. Kannathal et al. · Computer Methods and Programs in Biomedicine | 9 Sep 2005 | 420 |
| 36 | A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension Manish Dev Sharma, Ram Bilas Pachori, U. Rajendra Acharya · Pattern Recognition Letters | 25 Mar 2017 | 390 |
| 37 | The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis Massimo Salvi, U. Rajendra Acharya, Filippo Molinari et al. · Computers in Biology and Medicine | 21 Nov 2020 | 389 |
| 38 | Cascaded LSTM recurrent neural network for automated sleep stage classification using single-channel EEG signals Nicola Michielli, U. Rajendra Acharya, Filippo Molinari · Computers in Biology and Medicine | 19 Jan 2019 | 389 |
| 39 | A new approach for arrhythmia classification using deep coded features and LSTM networks Özal Yıldırım, Ulaş Baran Baloğlu, Ru‐San Tan et al. · Computer Methods and Programs in Biomedicine | 9 May 2019 | 387 |
| 40 | Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih et al. · Knowledge-Based Systems | 3 Jun 2017 | 377 |
| 41 | Transfer learning techniques for medical image analysis: A review Padmavathi Kora, Chui Ping Ooi, Oliver Faust et al. · Journal of Applied Biomedicine | 13 Dec 2021 | 373 |
| 42 | Application of artificial intelligence in wearable devices: Opportunities and challenges Darius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi et al. · Computer Methods and Programs in Biomedicine | 17 Nov 2021 | 371 |
| 43 | Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals Jen Hong Tan, Yuki Hagiwara, Winnie Pang et al. · Computers in Biology and Medicine | 2 Jan 2018 | 358 |
| 44 | Drug delivery systems for programmed and on-demand release Pooya Davoodi, Lai Yeng Lee, Qingxing Xu et al. · Advanced Drug Delivery Reviews | Jul 2018 | 354 |
| 45 | A new machine learning technique for an accurate diagnosis of coronary artery disease Moloud Abdar, Wojciech Książek, U. Rajendra Acharya et al. · Computer Methods and Programs in Biomedicine | 24 Jul 2019 | 346 |
| 46 | Li3V2(PO4)3 cathode materials for lithium-ion batteries: A review Xianhong Rui, Qingyu Yan, Maria Skyllas‐Kazacos et al. · Journal of Power Sources | Mar 2014 | 342 |
| 47 | A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prediction S. L. Ho, Min Xie, T.N Goh · Computers & Industrial Engineering | Apr 2002 | 335 |
| 48 | Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques U. Rajendra Acharya, Steven Lawrence Fernandes, Joel En WeiKoh et al. · Journal of Medical Systems | 9 Aug 2019 | 328 |
| 49 | APPLICATION OF RECURRENCE QUANTIFICATION ANALYSIS FOR THE AUTOMATED IDENTIFICATION OF EPILEPTIC EEG SIGNALS U. Rajendra Acharya, S. Vinitha Sree, SUBHAGATA CHATTOPADHYAY et al. · International Journal of Neural Systems | Jun 2011 | 327 |
| 50 | Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review Fatma Murat, Özal Yıldırım, Muhammed Talo et al. · Computers in Biology and Medicine | 8 Apr 2020 | 326 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.