Oh Shu Lih

2.9k citations

14 papers · 2.1k indexed · 2 hit papers · h-index 12

Cardiology and Cardiovascular Medicine top 1%
Cognitive Neuroscience top 2%
Biomedical Engineering top 5%
Artificial Intelligence top 5%
Pulmonary and Respiratory Medicine top 10%

Co-authors: U. Rajendra Acharya Jen Hong Tan Yuki Hagiwara Oliver Faust Hamido Fujita Muhammad Adam Ru‐San Tan Chua Kuang Chua
Topics: EEG and Brain-Computer Interfaces (9 papers)ECG Monitoring and Analysis (7 papers)Cardiac electrophysiology and arrhythmias (3 papers)
Cited by: Cardiology and Cardiovascular Medicine Cognitive Neuroscience Health Information Management
Journals: Information Sciences Knowledge-Based Systems Pattern Recognition Letters
Partner nations: Singapore Japan Malaysia

In The Last Decade

Oh Shu Lih

14 papers receiving 2.0k 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 learning for healthcare applications based on physiological signals: A review

2018 680 citations Oliver Faust, Yuki Hagiwara et al. Computer Methods and Programs in Biomedicine profile →
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network

2017 557 citations U. Rajendra Acharya, Hamido Fujita et al. Information Sciences profile →

Peers

Countries citing papers authored by Oh Shu Lih

Since Specialization

Citations

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

Fields of papers citing papers by Oh Shu Lih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy images 2022 ·Computer Methods and Programs in Biomedicine ·Oliver Faust,Simona De Michele,(unknown),Jahmunah Vicnesh,Oh Shu Lih,(unknown),Prabal Datta Barua,Edward J. Ciaccio,Suzanne K. Lewis,Peter H. Green,Govind Bhagat,U. Rajendra Acharya	7
2	Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review 2022 ·Cognitive Neurodynamics ·Prabal Datta Barua,Jahmunah Vicnesh,Oh Shu Lih,Elizabeth E. Palmer,(unknown),Makiko Kobayashi,U. Rajendra Acharya	25
3	Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signals 2021 ·Computers in Biology and Medicine ·Joel E.W. Koh,Chui Ping Ooi,(unknown),Jahmunah Vicnesh,(unknown),Oh Shu Lih,Ru‐San Tan,U. Rajendra Acharya,Daniel Fung	62
4	A novel machine learning framework for automated detection of arrhythmias in ECG segments 2021 ·Journal of Ambient Intelligence and Humanized Computing ·(unknown),(unknown),John Mapes,Sumeet Dua,Oh Shu Lih,Joel E.W. Koh,Edward J. Ciaccio,U. Rajendra Acharya	38
5	Comprehensive electrocardiographic diagnosis based on deep learning 2020 ·Artificial Intelligence in Medicine ·Oh Shu Lih,Jahmunah Vicnesh,Ru‐San Tan,Edward J. Ciaccio,Toshitaka Yamakawa,Masayuki Tanabe,Makiko Kobayashi,Oliver Faust,U. Rajendra Acharya	163
6	Accurate detection of myocardial infarction using non linear features with ECG signals 2020 ·Journal of Ambient Intelligence and Humanized Computing ·(unknown),Oh Shu Lih,Jahmunah Vicnesh,Joel E.W. Koh,Edward J. Ciaccio,Ru‐San Tan,N. Arunkumar,Seifedine Kadry,U. Rajendra Acharya	47
7	An adaptive feature extraction model for classification of thyroid lesions in ultrasound images 2020 ·Pattern Recognition Letters ·(unknown),Sumeet Dua,Joel E.W. Koh,Yuki Hagiwara,Oh Shu Lih,(unknown),(unknown),Kwan Hoong Ng,U. Rajendra Acharya	10
8	Automated detection of glaucoma using optical coherence tomography angiogram images 2019 ·Computers in Biology and Medicine ·(unknown),E. Y. K. Ng,Jahmunah Vicnesh,Joel E.W. Koh,Oh Shu Lih,(unknown),U. Rajendra Acharya	15
9	Automated plaque classification using computed tomography angiography and Gabor transformations 2019 ·Artificial Intelligence in Medicine ·U. Rajendra Acharya,Kristen M. Meiburger,Joel E.W. Koh,Jahmunah Vicnesh,Edward J. Ciaccio,Oh Shu Lih,(unknown),(unknown),Filippo Molinari,Kwan Hoong Ng	15
10	Deep learning for healthcare applications based on physiological signals: A reviewbreakdown → 2018 ·Computer Methods and Programs in Biomedicine ·Oliver Faust,Yuki Hagiwara,Jen Hong Tan,Oh Shu Lih,U. Rajendra Acharya	680
11	Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural networkbreakdown → 2017 ·Information Sciences ·U. Rajendra Acharya,Hamido Fujita,Oh Shu Lih,Yuki Hagiwara,Jen Hong Tan,Muhammad Adam	557
12	Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network 2017 ·Knowledge-Based Systems ·U. Rajendra Acharya,Hamido Fujita,Oh Shu Lih,Muhammad Adam,Jen Hong Tan,Chua Kuang Chua	281
13	Automated Diagnosis of Depression Electroencephalograph Signals Using Linear Prediction Coding and Higher Order Spectra Features 2017 ·Journal of Medical Imaging and Health Informatics ·G. Muralidhar Bairy,Oh Shu Lih,Yuki Hagiwara,Subha D. Puthankattil,Oliver Faust,U. C. Niranjan,U. Rajendra Acharya	31
14	Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study 2016 ·Information Sciences ·U. Rajendra Acharya,Hamido Fujita,Muhammad Adam,Oh Shu Lih,Vidya K. Sudarshan,Jen Hong Tan,Joel EW Koh,Yuki Hagiwara,Chua K. Chua,(unknown),Ru‐San Tan	193

About Oh Shu Lih

Oh Shu Lih is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Applied Psychology, having authored 14 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (9 papers), ECG Monitoring and Analysis (7 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cognitive Neuroscience (1.0k citations) and Health Information Management (163 citations). Oh Shu Lih has collaborated with scholars based in Singapore, Japan and Malaysia. Frequent co-authors include U. Rajendra Acharya, Jen Hong Tan, Yuki Hagiwara, Oliver Faust, Hamido Fujita, Muhammad Adam, Ru‐San Tan, Chua Kuang Chua, Jahmunah Vicnesh and Edward J. Ciaccio. Their work appears in journals such as Information Sciences, Knowledge-Based Systems and Pattern Recognition Letters.

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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