Chong‐Yaw Wee

2.1k total citations
40 papers, 1.5k citations indexed

About

Chong‐Yaw Wee is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chong‐Yaw Wee has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chong‐Yaw Wee's work include Functional Brain Connectivity Studies (15 papers), Dementia and Cognitive Impairment Research (6 papers) and Image Retrieval and Classification Techniques (6 papers). Chong‐Yaw Wee is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Dementia and Cognitive Impairment Research (6 papers) and Image Retrieval and Classification Techniques (6 papers). Chong‐Yaw Wee collaborates with scholars based in United States, Malaysia and Singapore. Chong‐Yaw Wee's co-authors include Dinggang Shen, Raveendran Paramesran, Kim‐Han Thung, Pew‐Thian Yap, Han Zhang, Daoqiang Zhang, Xiaobo Chen, Yue Gao, Gang Li and Qian Wang and has published in prestigious journals such as Cerebral Cortex, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Chong‐Yaw Wee

36 papers receiving 1.5k citations

Peers

Countries citing papers authored by Chong‐Yaw Wee

Since Specialization

Citations

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

Fields of papers citing papers by Chong‐Yaw Wee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong‐Yaw Wee. 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 Chong‐Yaw Wee. The network helps show where Chong‐Yaw Wee may publish in the future.

Co-authorship network of co-authors of Chong‐Yaw Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Chong‐Yaw Wee. A scholar is included among the top collaborators of Chong‐Yaw Wee 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 Chong‐Yaw Wee. Chong‐Yaw Wee 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	Hyper-connectivity of functional networks for brain disease diagnosis 2020 ·UNC Libraries ·Chong‐Yaw Wee, Daoqiang Zhang, Dinggang Shen, Biao Jie	0
2	MRI-Based Intelligence Quotient (IQ) Estimation with Sparse Learning 2020 ·UNC Libraries ·Xiaoying Tang, Dinggang Shen, Chong‐Yaw Wee, Liye Wang, Heung‐Il Suk	2
3	Deep understanding of big multimedia data 2020 ·Neural Computing and Applications ·Xiaofeng Zhu, Chong‐Yaw Wee, Minjeong Kim	1
4	Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification 2020 ·UNC Libraries ·Dinggang Shen, Chong‐Yaw Wee, Huafu Chen, Feng Liu	2
5	Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations 2019 ·NeuroImage Clinical ·Chong‐Yaw Wee, Chaoqiang Liu, Annie Lee, Joann S. Poh, Hui Ji, Anqi Qiu	105
6	Maternal sensitivity predicts anterior hippocampal functional networks in early childhood 2019 ·Brain Structure and Function ·Qiang Wang, Han Zhang, Chong‐Yaw Wee, Annie Lee, Joann S. Poh, Yap Seng Chong, Kok Hian Tan, Peter D. Gluckman, Fabian Yap, Marielle V. Fortier, Anne Rifkin‐Graboi, Anqi Qiu	24
7	Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification 2018 ·IEEE Transactions on Medical Imaging ·Yang Li, (unknown), Baiying Lei, Jingyu Liu, Chong‐Yaw Wee	41
8	Fronto-parietal numerical networks in relation with early numeracy in young children 2018 ·Brain Structure and Function ·Han Zhang, Chong‐Yaw Wee, Joann S. Poh, Qiang Wang, Lynette Pei‐Chi Shek, Yap Seng Chong, Marielle V. Fortier, Michael J. Meaney, Birit F. P. Broekman, Anqi Qiu	7
9	Enhancing the representation of functional connectivity networks by fusing multi‐view information for autism spectrum disorder diagnosis 2018 ·Human Brain Mapping ·(unknown), (unknown), Yan Jin, Seong‐Whan Lee, Chong‐Yaw Wee, Dinggang Shen	40
10	Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting‐State Functional Connectivity Networks 2016 ·CNS Neuroscience & Therapeutics ·Chong‐Yaw Wee, Pew‐Thian Yap, Dinggang Shen	57
11	High‐order resting‐state functional connectivity network for MCI classification 2016 ·Human Brain Mapping ·Xiaobo Chen, Han Zhang, Yue Gao, Chong‐Yaw Wee, Gang Li, Dinggang Shen, (unknown)	180
12	Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes 2015 ·Lecture notes in computer science ·Yan Jin, Chong‐Yaw Wee, Feng Shi, Kim‐Han Thung, Pew‐Thian Yap, Dinggang Shen, (unknown)	9
13	Integration of Network Topological and Connectivity Properties for Neuroimaging Classification 2013 ·IEEE Transactions on Biomedical Engineering ·Biao Jie, Daoqiang Zhang, Wei Gao, Qian Wang, Chong‐Yaw Wee, Dinggang Shen	115
14	Constrained Sparse Functional Connectivity Networks for MCI Classification 2012 ·Lecture notes in computer science ·Chong‐Yaw Wee, Pew‐Thian Yap, Daoqiang Zhang, Lihong Wang, Dinggang Shen	38
15	Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns 2012 ·Human Brain Mapping ·Chong‐Yaw Wee, Pew‐Thian Yap, Dinggang Shen, (unknown)	196
16	Identification of Individuals with MCI via Multimodality Connectivity Networks 2011 ·Lecture notes in computer science ·Chong‐Yaw Wee, Pew‐Thian Yap, Daoqiang Zhang, Kevin Denny, Lihong Wang, Dinggang Shen	4
17	Measure of image sharpness using eigenvalues 2007 ·Information Sciences ·Chong‐Yaw Wee, Raveendran Paramesran	65
18	Selection of a Subset of EEG Channels using PCA to classify Alcoholics and Non-alcoholics 2005 ·PubMed ·(unknown), Kim‐Han Thung, Chong‐Yaw Wee, Raveendran Paramesran	27
19	New computational methods for full and subset Zernike moments 2003 ·Information Sciences ·Chong‐Yaw Wee	40
20	Classification of Rice Grain Using New Scale Invariant Zernike Moments 2002 ·Chong‐Yaw Wee, Raveendran Paramesran, Fumiaki Takeda, (unknown), Hiroshi Kadota, (unknown)	6

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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