Shu Lih Oh

10.8k citations

56 papers · 7.8k indexed · 8 hit papers · h-index 36

Cognitive Neuroscience top 0.2%
Cardiology and Cardiovascular Medicine top 0.5%
Biomedical Engineering top 2%
Artificial Intelligence top 1%
Pulmonary and Respiratory Medicine top 2%

Co-authors: U. Rajendra Acharya Yuki Hagiwara Jen Hong Tan Ru‐San Tan Muhammad Adam Hojjat Adeli Hamido Fujita E. Y. K. Ng
Topics: ECG Monitoring and Analysis (34 papers)EEG and Brain-Computer Interfaces (32 papers)Heart Rate Variability and Autonomic Control (13 papers)
Cited by: Cognitive Neuroscience Cardiology and Cardiovascular Medicine Signal Processing
Journals: Information Sciences International Journal of Environmental Research and Public Health Knowledge-Based Systems
Partner nations: Singapore Malaysia Japan

In The Last Decade

Shu Lih Oh

56 papers receiving 7.5k citations

Hit Papers

5 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 network for the automated detection and diagnosis of seizure using EEG signals

2017 1.2k citations U. Rajendra Acharya, Shu Lih Oh et al. Computers in Biology and Medicine profile →
A deep convolutional neural network model to classify heartbeats

2017 987 citations U. Rajendra Acharya, Shu Lih Oh et al. Computers in Biology and Medicine profile →
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals

2017 678 citations U. Rajendra Acharya, Hamido Fujita et al. Information Sciences profile →
Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

2018 535 citations Shu Lih Oh, E. Y. K. Ng et al. Computers in Biology and Medicine profile →
Automated EEG-based screening of depression using deep convolutional neural network

2018 450 citations U. Rajendra Acharya, Shu Lih Oh et al. Computer Methods and Programs in Biomedicine profile →
A deep learning approach for Parkinson’s disease diagnosis from EEG signals

2018 423 citations Shu Lih Oh, Yuki Hagiwara et al. profile →
Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

2018 289 citations Jen Hong Tan, Yuki Hagiwara et al. Computers in Biology and Medicine profile →
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals

2022 126 citations E. Y. K. Ng, Ru‐San Tan et al. Computers in Biology and Medicine profile →

Peers

Countries citing papers authored by Shu Lih Oh

Since Specialization

Citations

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

Fields of papers citing papers by Shu Lih Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu Lih Oh. 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 Shu Lih Oh. The network helps show where Shu Lih Oh may publish in the future.

Co-authorship network of co-authors of Shu Lih Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Lih Oh. A scholar is included among the top collaborators of Shu Lih Oh 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 Shu Lih Oh. Shu Lih Oh 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	EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient population 2023 ·Computers in Biology and Medicine ·Shu Lih Oh,Jahmunah Vicnesh,Elizabeth E. Palmer,Prabal Datta Barua,Şengül Doğan,Türker Tuncer,Salvador García,Filippo Molinari,U. Rajendra Acharya	50
2	Deep neural network technique for automated detection of ADHD and CD using ECG signal 2023 ·Computer Methods and Programs in Biomedicine ·Hui Wen Loh,Chui Ping Ooi,Shu Lih Oh,Prabal Datta Barua,(unknown),Filippo Molinari,Sonja March,U. Rajendra Acharya,Daniel Fung	29
3	ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique 2023 ·Cognitive Neurodynamics ·Hui Wen Loh,Chui Ping Ooi,Shu Lih Oh,Prabal Datta Barua,(unknown),U. Rajendra Acharya,Daniel Fung	12
4	Artificial Intelligence Enabled Personalised Assistive Tools to Enhance Education of Children with Neurodevelopmental Disorders—A Review 2022 ·International Journal of Environmental Research and Public Health ·Prabal Datta Barua,Jahmunah Vicnesh,Raj Gururajan,Shu Lih Oh,Elizabeth E. Palmer,Muhammad Mokhzaini Azizan,Nahrizul Adib Kadri,U. Rajendra Acharya	91
5	Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals 2022 ·International Journal of Machine Learning and Cybernetics ·Prabal Datta Barua,Emrah Aydemir,Şengül Doğan,Mehmet Ali Kobat,(unknown),Mehmet Bayğın,Türker Tuncer,Shu Lih Oh,Ru‐San Tan,U. Rajendra Acharya	15
6	Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signalsbreakdown → 2022 ·Computers in Biology and Medicine ·(unknown),E. Y. K. Ng,Ru‐San Tan,Shu Lih Oh,U. Rajendra Acharya	126
7	Uncertainty quantification in DenseNet model using myocardial infarction ECG signals 2022 ·Computer Methods and Programs in Biomedicine ·Jahmunah Vicnesh,E. Y. K. Ng,Ru‐San Tan,Shu Lih Oh,U. Rajendra Acharya	47
8	Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach 2021 ·Computer Methods and Programs in Biomedicine ·Joel E.W. Koh,Simona De Michele,Vidya K. Sudarshan,Jahmunah Vicnesh,Edward J. Ciaccio,Chui Ping Ooi,Raj Gururajan,Rashmi Gururajan,Shu Lih Oh,Suzanne K. Lewis,Peter H. Green,Govind Bhagat,U. Rajendra Acharya	18
9	Automated detection of conduct disorder and attention deficit hyperactivity disorder using decomposition and nonlinear techniques with EEG signals 2021 ·Computer Methods and Programs in Biomedicine ·(unknown),Chui Ping Ooi,(unknown),(unknown),Jahmunah Vicnesh,Shu Lih Oh,U. Rajendra Acharya,Daniel Fung	97
10	Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020) 2020 ·Applied Sciences ·Hui Wen Loh,Chui Ping Ooi,Jahmunah Vicnesh,Shu Lih Oh,Oliver Faust,Arkadiusz Gertych,U. Rajendra Acharya	81
11	Classification of heart sound signals using a novel deep WaveNet model 2020 ·Computer Methods and Programs in Biomedicine ·Shu Lih Oh,Jahmunah Vicnesh,Chui Ping Ooi,Ru‐San Tan,Edward J. Ciaccio,Toshitaka Yamakawa,Masayuki Tanabe,Makiko Kobayashi,U. Rajendra Acharya	130
12	Automated diagnostic tool for hypertension using convolutional neural network 2020 ·Computers in Biology and Medicine ·(unknown),E. Y. K. Ng,Jahmunah Vicnesh,Shu Lih Oh,Ru‐San Tan,U. Rajendra Acharya	35
13	Application of nonlinear methods to discriminate fractionated electrograms in paroxysmal versus persistent atrial fibrillation 2019 ·Computer Methods and Programs in Biomedicine ·U. Rajendra Acharya,Oliver Faust,Edward J. Ciaccio,Joel E.W. Koh,Shu Lih Oh,Ru‐San Tan,Hasan Garan	15
14	Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review 2018 ·Information Sciences ·Yuki Hagiwara,Hamido Fujita,Shu Lih Oh,Jen Hong Tan,Ru‐San Tan,Edward J. Ciaccio,U. Rajendra Acharya	151
15	Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals 2018 ·Computer Methods and Programs in Biomedicine ·Muhammad Adam,Shu Lih Oh,Vidya K. Sudarshan,Joel EW Koh,Yuki Hagiwara,Jen Hong Tan,Ru‐San Tan,U. Rajendra Acharya	43
16	Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beatsbreakdown → 2018 ·Computers in Biology and Medicine ·Shu Lih Oh,E. Y. K. Ng,Ru‐San Tan,U. Rajendra Acharya	535
17	Automated beat-wise arrhythmia diagnosis using modified U-net on extended electrocardiographic recordings with heterogeneous arrhythmia types 2018 ·Computers in Biology and Medicine ·Shu Lih Oh,E. Y. K. Ng,Ru‐San Tan,U. Rajendra Acharya	133
18	Automated EEG-based screening of depression using deep convolutional neural networkbreakdown → 2018 ·Computer Methods and Programs in Biomedicine ·U. Rajendra Acharya,Shu Lih Oh,Yuki Hagiwara,Jen Hong Tan,Hojjat Adeli,Subha D. Puthankattil	450
19	Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signalsbreakdown → 2017 ·Computers in Biology and Medicine ·U. Rajendra Acharya,Shu Lih Oh,Yuki Hagiwara,Jen Hong Tan,Hojjat Adeli	1167
20	Automated diagnosis of congestive heart failure using dual tree complex wavelet transform and statistical features extracted from 2 s of ECG signals 2017 ·Computers in Biology and Medicine ·Vidya K. Sudarshan,U. Rajendra Acharya,Shu Lih Oh,Muhammad Adam,Jen Hong Tan,Chua Kuang Chua,(unknown),Ru‐San Tan	67

About Shu Lih Oh

Shu Lih Oh is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Gastroenterology, having authored 56 papers that have together received 7.8k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (34 papers), EEG and Brain-Computer Interfaces (32 papers) and Heart Rate Variability and Autonomic Control (13 papers). The work is most often cited by research in Cognitive Neuroscience (4.5k citations), Cardiology and Cardiovascular Medicine (4.1k citations) and Signal Processing (899 citations). Shu Lih Oh has collaborated with scholars based in Singapore, Malaysia and Japan. Frequent co-authors include U. Rajendra Acharya, Yuki Hagiwara, Jen Hong Tan, Ru‐San Tan, Muhammad Adam, Hojjat Adeli, Hamido Fujita, E. Y. K. Ng, Jahmunah Vicnesh and Arkadiusz Gertych. Their work appears in journals such as Information Sciences, International Journal of Environmental Research and Public Health and Knowledge-Based Systems.

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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