Michael K. Ng

28.6k total citations · 4 hit papers
661 papers, 20.3k citations indexed

About

Michael K. Ng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Michael K. Ng has authored 661 papers receiving a total of 20.3k indexed citations (citations by other indexed papers that have themselves been cited), including 273 papers in Computer Vision and Pattern Recognition, 180 papers in Computational Mechanics and 135 papers in Artificial Intelligence. Recurrent topics in Michael K. Ng's work include Sparse and Compressive Sensing Techniques (151 papers), Image and Signal Denoising Methods (145 papers) and Matrix Theory and Algorithms (114 papers). Michael K. Ng is often cited by papers focused on Sparse and Compressive Sensing Techniques (151 papers), Image and Signal Denoising Methods (145 papers) and Matrix Theory and Algorithms (114 papers). Michael K. Ng collaborates with scholars based in Hong Kong, China and United States. Michael K. Ng's co-authors include Zhong‐Zhi Bai, Gene H. Golub, Wai‐Ki Ching, Raymond H. Chan, Mila Nikolova, Liping Jing, Joshua Zhexue Huang, Yumei Huang, You‐Wei Wen and Xi-Le Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Michael K. Ng

625 papers receiving 19.3k 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.

Hermitian and Skew-Hermitian Splitting Methods for Non-Hermitian Positive Definite Linear Systems

2003 793 citations Michael K. Ng et al. profile →
Conjugate Gradient Methods for Toeplitz Systems

1996 600 citations Raymond H. Chan, Michael K. Ng profile →
Automated variable weighting in k-means type clustering

2005 562 citations Michael K. Ng et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data

2007 446 citations Michael K. Ng et al. profile →

Peers

Countries citing papers authored by Michael K. Ng

Since Specialization

Citations

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

Fields of papers citing papers by Michael K. Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Ng. 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 Michael K. Ng. The network helps show where Michael K. Ng may publish in the future.

Co-authorship network of co-authors of Michael K. Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Michael K. Ng. A scholar is included among the top collaborators of Michael K. Ng 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 Michael K. Ng. Michael K. Ng 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	Deep image prior and weighted anisotropic-isotropic total variation regularization for solving linear inverse problems 2024 ·Applied Mathematics and Computation ·Yujia Xie, Wengu Chen, (unknown), Michael K. Ng	3
2	Adaptive sampling with tensor leverage scores for exact low-rank third-order tensor completion 2024 ·Applied Mathematical Modelling ·(unknown), Tai-Xiang Jiang, (unknown), (unknown), Michael K. Ng	1
3	An Optimal Transport View for Subspace Clustering and Spectral Clustering 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yuguang Yan, Zhihao Xu, (unknown), Jie Zhang, Ruichu Cai, Michael K. Ng	2
4	A matching Schur complement preconditioning technique for inverse source problems 2024 ·Applied Numerical Mathematics ·(unknown), Michael K. Ng	2
5	Quaternion Nuclear Norm Minus Frobenius Norm Minimization for color image reconstruction 2024 ·Pattern Recognition ·(unknown), Guoqing Chen, Tieyong Zeng, Qiyu Jin, Michael K. Ng	4
6	Deep Learning-Based Fast Full-Wave Electromagnetic Forward Solver Using Physics-Induced Loss 2024 ·IEEE Antennas and Wireless Propagation Letters ·(unknown), He Ming Yao, Yuanan Liu, Michael K. Ng	0
7	Fully-connected tensor network decomposition and group sparsity for multitemporal images cloud removal 2024 ·Inverse Problems and Imaging ·(unknown), (unknown), Hong Zhu, Wenyu Hu, Qingtang Jiang, Michael K. Ng	3
8	A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning 2024 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Qiankun Zuo, Michael K. Ng, Baiying Lei, Shuqiang Wang	40
9	Multilinear multitask learning by transformed tensor singular value decomposition 2023 ·SHILAP Revista de lepidopterología ·Xiongjun Zhang, Jin Wu, Michael K. Ng	1
10	Deep learning based source reconstruction method using asymmetric encoder–decoder structure and physics-induced loss 2023 ·Journal of Computational and Applied Mathematics ·Michael K. Ng, He Ming Yao	3
11	Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning 2023 ·ISPRS Journal of Photogrammetry and Remote Sensing ·Calvin K. F. Lee, Guangqin Song, Helene C. Muller‐Landau, Shengbiao Wu, S. Joseph Wright‬, K. C. Cushman, (unknown), Stephanie Bohlman, Yingyi Zhao, Ziyu Lin, (unknown), (unknown), Michael K. Ng, Jin Wu	16
12	Solving Electromagnetic Inverse Scattering Problems in Inhomogeneous Media by Deep Convolutional Encoder–Decoder Structure 2023 ·IEEE Transactions on Antennas and Propagation ·Huan Huan Zhang, He Ming Yao, Lijun Jiang, Michael K. Ng	13
13	Collaborative contrastive learning for hypergraph node classification 2023 ·Pattern Recognition ·Hanrui Wu, (unknown), Jia Zhang, Sentao Chen, Michael K. Ng, Jinyi Long	21
14	Gaussian Patch Mixture Model Guided Low-Rank Covariance Matrix Minimization for Image Denoising 2022 ·SIAM Journal on Imaging Sciences ·Jing Guo, (unknown), Qiyu Jin, Michael K. Ng, (unknown)	6
15	Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN 2022 ·IEEE Transactions on Neural Networks and Learning Systems ·Yu Wen, Baiying Lei, Shuqiang Wang, Yong Liu, Zhiguang Feng, Yong Hu, Yanyan Shen, Michael K. Ng	87
16	Multi-Dimensional Visual Data Completion via Low-Rank Tensor Representation Under Coupled Transform 2021 ·IEEE Transactions on Image Processing ·Jian-Li Wang, Ting‐Zhu Huang, Xi-Le Zhao, Tai-Xiang Jiang, Michael K. Ng	41
17	On Recovery of Sparse Signals With Prior Support Information via Weighted ℓₚ-Minimization 2021 ·IEEE Transactions on Information Theory ·(unknown), Wengu Chen, Michael K. Ng	3
18	Quaternion-Based Dictionary Learning and Saturation-Value Total Variation Regularization for Color Image Restoration 2021 ·IEEE Transactions on Multimedia ·(unknown), Michael K. Ng, Tingting Wu, Tieyong Zeng	24
19	Conjugate gradient methods for Markov modulated Poisson processes 1998 ·ePrints Soton (University of Southampton) ·Michael K. Ng, Raymond H. Chan, Xing Zhou	2
20	Optimal trigonometric preconditioners for elliptic problems and queueing problems 1996 ·ePrints Soton (University of Southampton) ·Raymond H. Chan, Michael K. Ng, (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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