KongFatt Wong‐Lin

3.5k citations

89 papers · 2.2k indexed · 1 hit paper · h-index 23

Cognitive Neuroscience top 1%
Cellular and Molecular Neuroscience top 5%
Artificial Intelligence top 5%
Molecular Biology
Psychiatry and Mental health top 10%

Co-authors: Xiao‐Jing Wang Girijesh Prasad Philip Holmes José M. Sánchez‐Bornot Yogesh Kumar Meena Hubert Cecotti Philip A. Eckhoff Vahab Youssofzadeh
Topics: Neural dynamics and brain function (45 papers)EEG and Brain-Computer Interfaces (18 papers)Functional Brain Connectivity Studies (16 papers)
Cited by: Cognitive Neuroscience General Decision Sciences Cellular and Molecular Neuroscience
Journals: Nature Communications Journal of Neuroscience PLoS ONE
Partner nations: United Kingdom United States Ireland

In The Last Decade

KongFatt Wong‐Lin

85 papers receiving 2.2k 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.

A Recurrent Network Mechanism of Time Integration in Perceptual Decisions

2006 660 citations KongFatt Wong‐Lin, Xiao‐Jing Wang Journal of Neuroscience profile →

Peers

Countries citing papers authored by KongFatt Wong‐Lin

Since Specialization

Citations

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

Fields of papers citing papers by KongFatt Wong‐Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by KongFatt Wong‐Lin. 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 KongFatt Wong‐Lin. The network helps show where KongFatt Wong‐Lin may publish in the future.

Co-authorship network of co-authors of KongFatt Wong‐Lin

This figure shows the co-authorship network connecting the top 25 collaborators of KongFatt Wong‐Lin. A scholar is included among the top collaborators of KongFatt Wong‐Lin 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 KongFatt Wong‐Lin. KongFatt Wong‐Lin 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	Toward interpretable schizophrenia detection from EEG using autoencoder and EfficientNet 2025 ·Pattern Recognition Letters ·(unknown),Shaik Rafi Ahamed,KongFatt Wong‐Lin	0
2	Of Rodents and Primates: Time-Variant Gain in Drift–Diffusion Decision Models 2024 ·Computational Brain & Behavior ·(unknown),Hui Tan,(unknown),KongFatt Wong‐Lin	1
3	Autoencoder imputation of missing heterogeneous data for Alzheimer's disease classification 2024 ·Healthcare Technology Letters ·(unknown),José M. Sánchez‐Bornot,Paula L. McClean,KongFatt Wong‐Lin,(unknown)	1
4	Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers 2021 ·Sensors ·Su Yang,José M. Sánchez‐Bornot,Ricardo Bruña,Farzin Deravi,Sanaul Hoque,KongFatt Wong‐Lin,Girijesh Prasad	3
5	Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural\n Network Model 2020 ·arXiv (Cornell University) ·(unknown),(unknown),KongFatt Wong‐Lin	1
6	Changes-of-mind in the absence of new post-decision evidence 2020 ·PLoS Computational Biology ·(unknown),Arkady Zgonnikov,Denis O’Hora,(unknown),Stefan Scherbaum,KongFatt Wong‐Lin	18
7	Shaping a data-driven era in dementia care pathway through computational neurology approaches 2020 ·BMC Medicine ·KongFatt Wong‐Lin,Paula L. McClean,(unknown),(unknown),José M. Sánchez‐Bornot,Paddy Gillespie,Stephen Todd,David P. Finn,(unknown),Joseph Kane,Bernadette McGuinness	22
8	A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual 2019 ·Expert Systems with Applications ·Magda Bucholc,Xuemei Ding,Haiying Wang,David H. Glass,Hui Wang,Girijesh Prasad,Liam Maguire,Anthony J. Bjourson,Paula L. McClean,Stephen Todd,David P. Finn,KongFatt Wong‐Lin	66
9	A neural circuit model of decision uncertainty and change-of-mind 2019 ·Nature Communications ·(unknown),Iñaki Rañó,Girijesh Prasad,KongFatt Wong‐Lin	26
10	A hybrid computational approach for efficient Alzheimer’s disease classification based on heterogeneous data 2018 ·Scientific Reports ·Xuemei Ding,Magda Bucholc,Haiying Wang,David H. Glass,Hui Wang,(unknown),Anthony J. Bjourson,Le Roy C. Dowey,Maurice O’Kane,Girijesh Prasad,Liam Maguire,KongFatt Wong‐Lin	38
11	Development of a computer-based clinical decision support tool for identifying individuals with different levels of cognitive impairment 2018 ·Research Portal (Queen's University Belfast) ·Magda Bucholc,Xuemei Ding,(unknown),Huan‐Yu Wang,David H. Glass,Hui Wang,Girijesh Prasad,Liam Maguire,(unknown),Paula L. McClean,Stephen Todd,David P. Finn,KongFatt Wong‐Lin	1
12	Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses 2017 ·Frontiers in Human Neuroscience ·Vahab Youssofzadeh,Bernadette McGuinness,Liam Maguire,KongFatt Wong‐Lin	32
13	Can Post-Error Dynamics Explain Sequential Reaction Time Patterns? 2012 ·Frontiers in Psychology ·(unknown),KongFatt Wong‐Lin,Michael A. Schwemmer,Naomi Ehrich Leonard,Philip Holmes	23
14	Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications 2012 ·PubMed ·Shufan Yang,T.M. McGinnity,KongFatt Wong‐Lin	2
15	Network properties of a computational model of the dorsal raphe nucleus 2012 ·Neural Networks ·KongFatt Wong‐Lin,(unknown),Girijesh Prasad,T.M. McGinnity	14
16	Computational Study of Hippocampal-Septal Theta Rhythm Changes Due to Beta-Amyloid-Altered Ionic Channels 2011 ·PLoS ONE ·Xin Zou,Damien Coyle,KongFatt Wong‐Lin,Liam Maguire	25
17	Optimality and Robustness of a Biophysical Decision-Making Model under Norepinephrine Modulation 2009 ·Journal of Neuroscience ·Philip A. Eckhoff,KongFatt Wong‐Lin,Philip Holmes	52
18	Optimal performance in a countermanding saccade task 2009 ·Brain Research ·KongFatt Wong‐Lin,Philip A. Eckhoff,Philip Holmes,Jonathan D. Cohen	24
19	Analysis of a biologically realistic model for saccade-countermanding tasks 2007 ·Social Neuroscience ·KongFatt Wong‐Lin,Philip A. Eckhoff,Philip Holmes,Jonathan D. Cohen	3
20	A Recurrent Network Mechanism of Time Integration in Perceptual Decisionsbreakdown → 2006 ·Journal of Neuroscience ·KongFatt Wong‐Lin,Xiao‐Jing Wang	660

About KongFatt Wong‐Lin

KongFatt Wong‐Lin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Human-Computer Interaction, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (45 papers), EEG and Brain-Computer Interfaces (18 papers) and Functional Brain Connectivity Studies (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), General Decision Sciences (93 citations) and Cellular and Molecular Neuroscience (427 citations). KongFatt Wong‐Lin has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Xiao‐Jing Wang, Girijesh Prasad, Philip Holmes, José M. Sánchez‐Bornot, Yogesh Kumar Meena, Hubert Cecotti, Philip A. Eckhoff, Vahab Youssofzadeh, Michael N. Shadlen and Redmond G O’Connell. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

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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