Ming–Jung Seow

481 total citations
26 papers, 311 citations indexed

About

Ming–Jung Seow is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ming–Jung Seow has authored 26 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Ming–Jung Seow's work include Neural Networks and Applications (12 papers), Image Enhancement Techniques (9 papers) and Image and Signal Denoising Methods (5 papers). Ming–Jung Seow is often cited by papers focused on Neural Networks and Applications (12 papers), Image Enhancement Techniques (9 papers) and Image and Signal Denoising Methods (5 papers). Ming–Jung Seow collaborates with scholars based in United States and Germany. Ming–Jung Seow's co-authors include Vijayan K. Asari, Tao Li, Tao Li, Rajkiran Gottumukkal, K. Vijayan Asari, Tao Li, Kevin C. Furman, Jizhou Li, Minjian Zhang and Yufen Shao and has published in prestigious journals such as Neurocomputing, Neural Networks and Pattern Recognition Letters.

In The Last Decade

Ming–Jung Seow

26 papers receiving 286 citations

Peers

Ming–Jung Seow

CVPR

AMPO

Fangnian Lang China

Kailing Guo China

K. Sobottka Switzerland

Pravin Bhat United States

Chih‐Yuan Lien Taiwan

Tomohiro Hase Japan

Josef Kittler United Kingdom

Shoulie Xie Singapore

Bochang Moon South Korea

Fangnian Lang China

Ming–Jung Seow

239 ×0.9

CVPR

94 ×0.8

15 ×0.4

13 ×0.5

AMPO

31 ×1.7

Citations per year, relative to Ming–Jung Seow Ming–Jung Seow (= 1×) peers Fangnian Lang

Countries citing papers authored by Ming–Jung Seow

Since Specialization

Citations

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

Fields of papers citing papers by Ming–Jung Seow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Jung Seow. 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 Ming–Jung Seow. The network helps show where Ming–Jung Seow may publish in the future.

Co-authorship network of co-authors of Ming–Jung Seow

This figure shows the co-authorship network connecting the top 25 collaborators of Ming–Jung Seow. A scholar is included among the top collaborators of Ming–Jung Seow 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 Ming–Jung Seow. Ming–Jung Seow 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

Seow, Ming–Jung, et al.. (2024). Knowledge Augmented Intelligence Using Large Language Models for Advanced Data Analytics. SPE Eastern Regional Meeting. 7 indexed citations

Shao, Yufen, et al.. (2022). Integrated Concept Analytics and Development Optimization Under Uncertainties. 1 indexed citations

Seow, Ming–Jung, et al.. (2012). Learning embedded lines of attraction by self organization for pose and expression invariant face recognition. Optical Engineering. 51(10). 107201–1. 1 indexed citations

Seow, Ming–Jung, et al.. (2009). Learning as a nonlinear line of attraction in a recurrent neural network. Neural Computing and Applications. 19(2). 337–342. 10 indexed citations

Seow, Ming–Jung & Vijayan K. Asari. (2008). Towards representation of a perceptual color manifold using associative memory for color constancy. Neural Networks. 22(1). 91–99. 2 indexed citations

Seow, Ming–Jung, et al.. (2008). A tunable high-performance architecture for enhancement of stream video captured under non-uniform lighting conditions. Microprocessors and Microsystems. 32(7). 386–393. 9 indexed citations

Asari, Vijayan K., et al.. (2006). A High Performance Architecture for Color Image Enhancement Using a Machine Learning Approach. 2(1). 5 indexed citations

Li, Tao, Ming–Jung Seow, & Vijayan K. Asari. (2006). Nonlinear image enhancement to improve face detection in complex lighting environment. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6064. 606416–606416. 15 indexed citations

Zhang, Minjian, Ming–Jung Seow, & Vijayan K. Asari. (2006). A Hardware Architecture for Color Image Enhancement Using a Machine Learning Approach with Adaptive Parameterization. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 35–40. 1 indexed citations

10.

Seow, Ming–Jung & Vijayan K. Asari. (2005). Ratio rule and homomorphic filter for enhancement of digital colour image. Neurocomputing. 69(7-9). 954–958. 127 indexed citations

11.

Seow, Ming–Jung & Vijayan K. Asari. (2005). Color Characterization and Balancing by a Nonlinear Line Attractor Network for Image Enhancement. Neural Processing Letters. 22(3). 291–309. 4 indexed citations

12.

Seow, Ming–Jung & Vijayan K. Asari. (2004). Associative memory based on ratio learning for real time skin color detection. 151–156. 1 indexed citations

13.

Seow, Ming–Jung & Vijayan K. Asari. (2004). High performance associative memory with distance based training algorithm for character recognition. 2. 1185–1188. 2 indexed citations

14.

Seow, Ming–Jung, et al.. (2004). A robust face recognition system for real time surveillance. 83. 631–635 Vol.1. 6 indexed citations

15.

Seow, Ming–Jung & Vijayan K. Asari. (2004). Associative memory using ratio rule for multi-valued pattern association. 4. 2518–2522. 8 indexed citations

16.

Seow, Ming–Jung, et al.. (2003). Systolic implementation of 2D block-based Hopfield neural network for efficient pattern association. Microprocessors and Microsystems. 27(8). 359–366. 5 indexed citations

17.

Seow, Ming–Jung & Vijayan K. Asari. (2003). Learning using distance based training algorithm for pattern recognition. Pattern Recognition Letters. 25(2). 189–196. 3 indexed citations

18.

Seow, Ming–Jung & Vijayan K. Asari. (2002). Modular architecture for Hopfield network and distance based training algorithm for pattern association. Neural, Parallel & Scientific Computations archive. 10(4). 371–386. 2 indexed citations

19.

Seow, Ming–Jung & Vijayan K. Asari. (2002). A generalized cellular neural network architecture for high storage capacity pattern recognition. 63–68. 1 indexed citations

20.

Seow, Ming–Jung & Vijayan K. Asari. (2002). High storage capacity architecture for pattern recognition using an array of Hopfield neural networks. 79. 169–174. 6 indexed citations

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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