Hon Wai Chun

36 papers receiving 328 citations

Peers

Hon Wai Chun
Comparison fields: 5 of 69
  • Artificial Intelligence 105
  • Signal Processing 81
  • Management Science and Operations Research 79
  • Computer Vision and Pattern Recognition 78
  • Industrial and Manufacturing Engineering 76
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Countries citing papers authored by Hon Wai Chun

Since Specialization
Citations

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

Fields of papers citing papers by Hon Wai Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hon Wai Chun. 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 Hon Wai Chun. The network helps show where Hon Wai Chun may publish in the future.

Co-authorship network of co-authors of Hon Wai Chun

This figure shows the co-authorship network connecting the top 25 collaborators of Hon Wai Chun. A scholar is included among the top collaborators of Hon Wai Chun 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 Hon Wai Chun. Hon Wai Chun 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 3
2
Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network
71
3
Using AI for olympic equestrian event preparation
1
4 14
5
Automatic tag recommendation for the web 2.0 blogosphere using collaborative tagging and hybrid ANN semantic structures
24
6
Automatic rule-based assessment of e-government application forms
1
7
Using AI for e-government automatic assessment of immigration application forms
9
8
Scheduling engineering works for the MTR corporation in Hong Kong
5
9 2
10 26
11 1
12
Optimizing User Preferences While Scheduling Meetings.
1
13
Nurse Rostering at the Hospital Authority of Hong Kong
20
14 8
15
HKIA SAS: a constraint-based airport stand allocation system developed with software components
4
16 2
17
Network regions: alternatives to the winner-take-all structure
5
18
A representation for temporal sequence and duration in massively parallel networks: exploiting link interactions
5
19
ISCS - a tool kit for constructing knowledge-based system configurators
3
20 1

About Hon Wai Chun

Hon Wai Chun is a scholar working on Signal Processing, Computer Networks and Communications and Management Science and Operations Research, having authored 43 papers that have together received 370 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (18 papers), Scheduling and Timetabling Solutions (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (76 citations), Signal Processing (81 citations) and Management Science and Operations Research (79 citations). Hon Wai Chun has collaborated with scholars based in Hong Kong, United States and Australia. Frequent co-authors include Antoni B. Chan, James D. Turner, Jer-Nan Juang, Jean Wong, Richard S.E. Keefe, Daniel Lai, James Turner, David L. Waltz, Bruce Thompson and Warren Seering. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Knowledge and Data Engineering and Engineering Applications of Artificial Intelligence.

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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