Chee Keong Kwoh

8.1k citations

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

Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 24
Molecular Biology top 5%
- Machine Learning in Bioinformatics 27
- Bioinformatics and Genomic Networks 25
- RNA and protein synthesis mechanisms 21
- Protein Structure and Dynamics 19
- Gene expression and cancer classification 15
- vaccines and immunoinformatics approaches 14
Signal Processing top 2%
Artificial Intelligence top 1%
Ophthalmology top 2%
Epidemiology
- Influenza Virus Research Studies 18

Co-authors: Min Wu Xiaoli Li Zhenghua Chen Emadeldeen Eldele Mohamed Ragab Cuntai Guan Yuguang Mu Amr Alhossary
Cited by: Computational Theory and Mathematics Molecular Biology Signal Processing
Journals: Nucleic Acids Research (3 papers)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (10 papers)
Partner nations: Singapore China United States

In The Last Decade

Chee Keong Kwoh

171 papers receiving 5.0k citations

Hit Papers

align trajectories log scale

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.

2023 IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 IEEE Transactions on Neural Systems and Rehabilitation Engineering
2021 DR-NTU (Nanyang Technological University)

Peers

Replace Min Wu with:

Min Wu China

Jian Huang United States

Doheon Lee South Korea

De-Shuang Huang China

Kristin P. Bennett United States

Holger Fröhlich Germany

Min Li China

Yuehui Chen China

Bing Huang China

Sungroh Yoon South Korea

Chee Keong Kwoh relative to Min Wu China Min Wu's profile →

Citations per field

00.5×2×4×6×7.7×

Min Wu · 1×

×0.8 1k/2k

CTM

×0.7 2k/4k

MB

×0.6 346/608

SP

×0.5 930/2k

AI

×7.7 239/31

OPHTH

Citations per year

2016

2017

2018

2019

2020

2021

2022

2023

2024

2025

2026

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

The 25 scholars most cited alongside Chee Keong Kwoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chee Keong Kwoh Line = papers co-authored together Chee Keong Kwoh links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Source-free Calibrated Uncertainty for RUL Adaptation with incomplete degradation Mechanical Systems and Signal Processing ·Yubo Hou,Yucheng Wang,Min Wu,Chee Keong Kwoh,Xiaoli Li,Zhenghua Chen	2025	1
2	Noise-robust multi-view graph neural network for fault diagnosis of rotating machinery Mechanical Systems and Signal Processing ·Chenyang Li,Lingfei Mo,Chee Keong Kwoh,Xiaoli Li,Zhenghua Chen,Min Wu,Ruqiang Yan	2024	19
3	RmsdXNA: RMSD prediction of nucleic acid-ligand docking poses using machine-learning method Briefings in Bioinformatics ·L. H. Tan,Chee Keong Kwoh,Yuguang Mu	2024	9
4	MathEagle: Accurate prediction of drug-drug interaction events via multi-head attention and heterogeneous attribute graph learning Computers in Biology and Medicine ·Lin-Xuan Hou,Hai-Cheng Yi,Zhu‐Hong You,Shihong Chen,Jia Zheng,Chee Keong Kwoh	2024	6
5	Label-Efficient Time Series Representation Learning: A Review IEEE Transactions on Artificial Intelligence ·Emadeldeen Eldele,Mohamed Ragab,Zhenghua Chen,Min Wu,Chee Keong Kwoh,Xiaoli Li	2024	9
6	COMET: Convolutional Dimension Interaction for Collaborative Filtering ACM Transactions on Intelligent Systems and Technology ·Zhuoyi Lin,Lei Feng,Xingzhi Guo,Yu Zhang,Rui Yin,Chee Keong Kwoh,Chi Xu	2023	3
7	ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences Journal of Biomedical Informatics ·Rui Yin,Zihan Luo,Pei Zhuang,Min Zeng,Min Li,Zhuoyi Lin,Chee Keong Kwoh	2023	6
8	A universal transfer network for machinery fault diagnosis Computers in Industry ·Xiaolei Yu,Zhibin Zhao,Xingwu Zhang,Shaohua Tian,Chee Keong Kwoh,Xiaoli Li,Xuefeng Chen	2023	26
9	PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection Yubo Hou,Tram Truong-Huu,Zhenghua Chen,Chee Keong Kwoh,Sin G. Teo	2023	0
10	Jupytope: computational extraction of structural properties of viral epitopes Briefings in Bioinformatics ·Shamima Rashid,Teng Ann Ng,Chee Keong Kwoh	2022	1
11	Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic IEEE Transactions on Dependable and Secure Computing ·Yubo Hou,Sin G. Teo,Zhenghua Chen,Min Wu,Chee Keong Kwoh,Tram Truong-Huu	2022	6
12	Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation IEEE Transactions on Knowledge and Data Engineering ·Zhuoyi Lin,Sheng Zang,Rundong Wang,Zhu Sun,J. Senthilnath,Chi Xu,Chee Keong Kwoh	2022	13
13	Graph contextualized attention network for predicting synthetic lethality in human cancers Bioinformatics ·Yahui Long,Min Wu,Yong Liu,Jie Zheng,Chee Keong Kwoh,Jiawei Luo,Xiaoli Li	2021	31
14	IAV-CNN: A 2D Convolutional Neural Network Model to Predict Antigenic Variants of Influenza A Virus IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Rui Yin,Nyi Nyi Thwin,Pei Zhuang,Zhuoyi Lin,Chee Keong Kwoh	2021	18
15	VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments Bioinformatics ·Rui Yin,Zihan Luo,Pei Zhuang,Zhuoyi Lin,Chee Keong Kwoh	2020	13
16	Beta Atomic Contacts: Identifying Critical Specific Contacts in Protein Binding Interfaces PLoS ONE ·Qian Liu,Chee Keong Kwoh,Steven C. H. Hoi	2013	6
17	A contact-network-based simulation model for evaluating interventions under "what-if" scenarios in epidemic Winter Simulation Conference ·Tianyou Zhang,Michael Lees,Chee Keong Kwoh,Xuju Fu,Gary Kee Khoon Lee,Rick Siow Mong Goh	2012	2
18	Evaluating Temporal Factors in Combined Interventions of Workforce Shift and School Closure for Mitigating the Spread of Influenza PLoS ONE ·Tianyou Zhang,Xiuju Fu,Stefan Ma,Gaoxi Xiao,Limsoon Wong,Chee Keong Kwoh,Michael Lees,Gary Kee Khoon Lee,Terence Hung	2012	17
19	Validating text mining results on protein-protein interactions using gene expression profiles Open Research Online (The Open University) ·Deyu Zhou,Yulan He,Chee Keong Kwoh	2006	4
20	Automated Endoscope Navigation and Advisory System from medical imaging Chee Keong Kwoh,Gul N. Khan,Duncan Gillies	1999	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), Computational Drug Discovery Methods (24 papers), RNA and protein synthesis mechanisms (21 papers), Protein Structure and Dynamics (19 papers), Influenza Virus Research Studies (18 papers), Gene expression and cancer classification (15 papers) and vaccines and immunoinformatics approaches (14 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.

Explore authors with similar magnitude of impact