Wei Koong Chai

6.7k citations
76 papers · 3.8k indexed · 2 hit papers · h-index 21
Topics
Caching and Content Delivery (21 papers)Opportunistic and Delay-Tolerant Networks (13 papers)Fault Detection and Control Systems (11 papers)

In The Last Decade

Wei Koong Chai

69 papers receiving 3.7k citations

Hit Papers

Wide & Deep Learning for Recommender Systems20122026201620212016201250010001.5k

Peers

Wei Koong Chai
Comparison fields: 5 of 130
  • Computer Networks and Communications 1.6k
  • Information Systems 1.6k
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 736
  • Electrical and Electronic Engineering 384
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Wei Koong Chai relative to Junhao Wen China Junhao Wen's profile →
Citations per field
00.5×5.5×
Junhao Wen · 1×
Citations per year

Countries citing papers authored by Wei Koong Chai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Koong Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Koong Chai. 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 Wei Koong Chai. The network helps show where Wei Koong Chai may publish in the future.

Co-authorship network of co-authors of Wei Koong Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Koong Chai. A scholar is included among the top collaborators of Wei Koong Chai 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 Wei Koong Chai. Wei Koong Chai 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 43
6 0
7 11
8 1
9 5
10 1
11 27
12 3
13
Collaborative Learning for Deep Neural Networks
26
14 36
15 4
16 71
17 199
18 10
19 2
20
Nonlinear set membership filtering using ellipsoids and its application in fault diagnosis
6

About Wei Koong Chai

Wei Koong Chai is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Transportation, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Caching and Content Delivery (21 papers), Opportunistic and Delay-Tolerant Networks (13 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Computer Networks and Communications (1.6k citations), Information Systems (1.6k citations) and Artificial Intelligence (1.2k citations). Wei Koong Chai has collaborated with scholars based in United Kingdom, China and Switzerland. Frequent co-authors include George Pavlou, Ioannis Psaras, Heng-Tze Cheng, Vihan Jain, Hemal Shah, Greg S. Corrado, Lichan Hong, Tal Shaked, Levent Koç and Jeremiah Harmsen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.

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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