Chee Keong Kwoh

8.1k citations

182 papers · 5.2k indexed · 3 hit papers · h-index 37

Molecular Biology top 5%
Computational Theory and Mathematics top 0.2%
Artificial Intelligence top 1%
Cognitive Neuroscience top 5%
Radiology, Nuclear Medicine and Imaging top 5%

Co-authors: Min Wu Xiaoli Li Zhenghua Chen Emadeldeen Eldele Mohamed Ragab Cuntai Guan Yuguang Mu Amr Alhossary
Topics: Machine Learning in Bioinformatics (27 papers)Bioinformatics and Genomic Networks (25 papers)Computational Drug Discovery Methods (24 papers)
Cited by: Computational Theory and Mathematics Molecular Biology Signal Processing
Journals: Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations: Singapore China United States

In The Last Decade

Chee Keong Kwoh

171 papers receiving 5.0k 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.

An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG

2021 378 citations Emadeldeen Eldele, Zhenghua Chen et al. profile →
Time-Series Representation Learning via Temporal and Contextual Contrasting

2021 289 citations Emadeldeen Eldele, Mohamed Ragab et al. profile →
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

2023 89 citations Emadeldeen Eldele, Mohamed Ragab et al. profile →

Peers

Countries citing papers authored by Chee Keong Kwoh

Since Specialization

Citations

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

Fields of papers citing papers by Chee Keong Kwoh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Keong Kwoh. 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 Chee Keong Kwoh. The network helps show where Chee Keong Kwoh may publish in the future.

Co-authorship network of co-authors of Chee Keong Kwoh

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Keong Kwoh. A scholar is included among the top collaborators of Chee Keong Kwoh 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 Chee Keong Kwoh. Chee Keong Kwoh 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

#	Work	Indexed citations
1	Source-free Calibrated Uncertainty for RUL Adaptation with incomplete degradation 2025 ·Mechanical Systems and Signal Processing ·(unknown),(unknown),Min Wu,Chee Keong Kwoh,Xiaoli Li,Zhenghua Chen	1
2	Noise-robust multi-view graph neural network for fault diagnosis of rotating machinery 2024 ·Mechanical Systems and Signal Processing ·Chenyang Li,Lingfei Mo,Chee Keong Kwoh,(unknown),Zhenghua Chen,Min Wu,Ruqiang Yan	19
3	RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method 2024 ·Briefings in Bioinformatics ·L. H. Tan,Chee Keong Kwoh,Yuguang Mu	9
4	MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning 2024 ·Computers in Biology and Medicine ·(unknown),Hai-Cheng Yi,Zhu‐Hong You,Shihong Chen,Jia Zheng,Chee Keong Kwoh	6
5	Label-Efficient Time Series Representation Learning: A Review 2024 ·IEEE Transactions on Artificial Intelligence ·Emadeldeen Eldele,Mohamed Ragab,Zhenghua Chen,Min Wu,Chee Keong Kwoh,Xiaoli Li	9
6	COMET: Convolutional Dimension Interaction for Collaborative Filtering 2023 ·ACM Transactions on Intelligent Systems and Technology ·(unknown),Lei Feng,(unknown),Yu Zhang,Rui Yin,Chee Keong Kwoh,Chi Xu	3
7	ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences 2023 ·Journal of Biomedical Informatics ·Rui Yin,(unknown),Pei Zhuang,Min Zeng,Min Li,(unknown),Chee Keong Kwoh	6
8	A universal transfer network for machinery fault diagnosis 2023 ·Computers in Industry ·Xiaolei Yu,Zhibin Zhao,Xingwu Zhang,Shaohua Tian,Chee Keong Kwoh,(unknown),Xuefeng Chen	26
9	PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection 2023 ·(unknown),Tram Truong-Huu,Zhenghua Chen,Chee Keong Kwoh,Sin G. Teo	0
10	Jupytope: computational extraction of structural properties of viral epitopes 2022 ·Briefings in Bioinformatics ·(unknown),(unknown),Chee Keong Kwoh	1
11	Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic 2022 ·IEEE Transactions on Dependable and Secure Computing ·(unknown),Sin G. Teo,Zhenghua Chen,Min Wu,Chee Keong Kwoh,Tram Truong-Huu	6
12	Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation 2022 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown),(unknown),(unknown),Zhu Sun,J. Senthilnath,Chi Xu,Chee Keong Kwoh	13
13	Graph contextualized attention network for predicting synthetic lethality in human cancers 2021 ·Bioinformatics ·Yahui Long,Min Wu,Yong Liu,Jie Zheng,Chee Keong Kwoh,Jiawei Luo,Xiaoli Li	31
14	IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus 2021 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Rui Yin,(unknown),Pei Zhuang,(unknown),Chee Keong Kwoh	18
15	VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments 2020 ·Bioinformatics ·Rui Yin,(unknown),Pei Zhuang,(unknown),Chee Keong Kwoh	13
16	Beta Atomic Contacts: Identifying Critical Specific Contacts in Protein Binding Interfaces 2013 ·PLoS ONE ·Qian Liu,Chee Keong Kwoh,Steven C. H. Hoi	6
17	A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic 2012 ·Winter Simulation Conference ·Tianyou Zhang,Michael Lees,Chee Keong Kwoh,(unknown),Gary Kee Khoon Lee,Rick Siow Mong Goh	2
18	Evaluating Temporal Factors in Combined Interventions of Workforce Shift and School Closure for Mitigating the Spread of Influenza 2012 ·PLoS ONE ·Tianyou Zhang,Xiuju Fu,Stefan Ma,Gaoxi Xiao,Limsoon Wong,Chee Keong Kwoh,Michael Lees,Gary Kee Khoon Lee,Terence Hung	17
19	Validating text mining results on protein-protein interactions using gene expression profiles 2006 ·Open Research Online (The Open University) ·Deyu Zhou,Yulan He,Chee Keong Kwoh	4
20	Automated Endoscope Navigation and Advisory System from medical imaging 1999 ·Chee Keong Kwoh,Gul N. Khan,Duncan Gillies	7

About Chee Keong Kwoh

Chee Keong Kwoh is a scholar working on Computational Theory and Mathematics, Molecular Biology and Ophthalmology, having authored 182 papers that have together received 5.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (27 papers), Bioinformatics and Genomic Networks (25 papers) and Computational Drug Discovery Methods (24 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Molecular Biology (2.3k citations) and Signal Processing (346 citations). Chee Keong Kwoh has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Min Wu, Xiaoli Li, Zhenghua Chen, Emadeldeen Eldele, Mohamed Ragab, Cuntai Guan, Yuguang Mu, Amr Alhossary, Stephanus Daniel Handoko and Ali Ezzat. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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