Fu-Lai Chung

8.3k total citations
248 papers, 6.1k citations indexed

About

Fu-Lai Chung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Fu-Lai Chung has authored 248 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Artificial Intelligence, 106 papers in Computer Vision and Pattern Recognition and 41 papers in Signal Processing. Recurrent topics in Fu-Lai Chung's work include Face and Expression Recognition (63 papers), Neural Networks and Applications (62 papers) and Fuzzy Logic and Control Systems (40 papers). Fu-Lai Chung is often cited by papers focused on Face and Expression Recognition (63 papers), Neural Networks and Applications (62 papers) and Fuzzy Logic and Control Systems (40 papers). Fu-Lai Chung collaborates with scholars based in Hong Kong, China and United States. Fu-Lai Chung's co-authors include Shitong Wang, Zhaohong Deng, Kup‐Sze Choi, Robert W. P. Luk, Jun Wang, Pengjiang Qian, Tong Lee, Yizhang Jiang, Tak-chung Fu and Hongtao Lu and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Journal of Solid-State Circuits.

In The Last Decade

Fu-Lai Chung

241 papers receiving 5.8k citations

Peers

Fu-Lai Chung
Comparison fields: 5 of 163
  • Artificial Intelligence 3.6k
  • Computer Vision and Pattern Recognition 2.1k
  • Signal Processing 901
  • Information Systems 588
  • Control and Systems Engineering 427
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Shiliang Sun China
Robi Polikar United States
Koby Crammer Israel
Jia Wu Australia
Marco Gori Italy
Jiaguang Sun China
Chris Burges United States
Pabitra Mitra India
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Citations per field, relative to Fu-Lai Chung
Fu-Lai Chung · 1×
Citations per year, relative to Fu-Lai Chung
Fu-Lai Chung · 1×

Countries citing papers authored by Fu-Lai Chung

Since Specialization
Citations

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

Fields of papers citing papers by Fu-Lai Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu-Lai Chung. 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 Fu-Lai Chung. The network helps show where Fu-Lai Chung may publish in the future.

Co-authorship network of co-authors of Fu-Lai Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Fu-Lai Chung. A scholar is included among the top collaborators of Fu-Lai Chung 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 Fu-Lai Chung. Fu-Lai Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 9
4 3
5 18
6 68
7
A Closer Look at the Training Strategy for Modern Meta-Learning
4
8 19
9 83
10 22
11 27
12 9
13 19
14
Attention Modeling for Face Recognition via Deep Learning
2
15 5
16
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification.
18
17
Towards Collaborative Travel Recommender Systems
4
18 3
19
Flexible time series pattern matching based on perceptually important points
95
20
A post-analysis framework for mining generalized association rules with multiple minimum supports
2

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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