Carson K. Leung
- Signal Processing top 0.5%
- Data Management and Algorithms 90
- Information Systems top 0.2%
- Data Mining Algorithms and Applications 140
- Health Information Management top 0.2%
- Artificial Intelligence top 0.5%
- Data Stream Mining Techniques 30
- Computational Theory and Mathematics top 0.5%
- Rough Sets and Fuzzy Logic 52
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- Complex Network Analysis Techniques 37
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- Data Visualization and Analytics 22
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- COVID-19 diagnosis using AI 22
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- Traffic Prediction and Management Techniques 21
- Co-authors
- Fan JiangAlfredo CuzzocreaRichard Kyle MacKinnonChowdhury Farhan AhmedChristopher L. CarmichaelAdam G.M. PazdorSyed Khairuzzaman TanbeerRaymond T. Ng
- Journals
- Applied Intelligence (5 papers)Information Sciences (4 papers)Expert Systems with Applications (3 papers)
- Partner nations
- CanadaItalyBangladesh
In The Last Decade
Carson K. Leung
275 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 134
- Signal Processing 1.2k
- Information Systems 2.0k
- Health Information Management 344
- Artificial Intelligence 2.1k
- Computational Theory and Mathematics 614
Countries citing papers authored by Carson K. Leung
This map shows the geographic impact of Carson K. Leung'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 Carson K. Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carson K. Leung more than expected).
Fields of papers citing papers by Carson K. Leung
This network shows the impact of papers produced by Carson K. Leung. 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 Carson K. Leung. The network helps show where Carson K. Leung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carson K. Leung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | Non-Linear Analytic Prediction of IP Addresses for Supporting Cyber Attack Detection and Analysis. | 2021 | 1 |
| 11 | 2020 | 57 | |
| 12 | WeFreS: weighted frequent subgraph mining in a single large graph | 2019 | 8 |
| 13 | Sliding window based weighted periodic pattern mining over time series data | 2019 | 1 |
| 14 | 2018 | 23 | |
| 15 | 2016 | 9 | |
| 16 | Frequent subgraph mining from streams of linked graph structured data | 2015 | 5 |
| 17 | Frequent pattern mining from dense graph streams | 2014 | 7 |
| 18 | Mining of Diverse Social Entities from Linked Data | 2014 | 3 |
| 19 | Frequent Itemset Mining of Distributed Uncertain Data under User-Defined Constraints. | 2012 | 1 |
| 20 | 2007 | 4 |
About Carson K. Leung
Carson K. Leung is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 295 papers that have together received 4.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (140 papers), Data Management and Algorithms (90 papers), Rough Sets and Fuzzy Logic (52 papers), Complex Network Analysis Techniques (37 papers), Data Stream Mining Techniques (30 papers), Data Visualization and Analytics (22 papers), COVID-19 diagnosis using AI (22 papers) and Traffic Prediction and Management Techniques (21 papers). The work is most often cited by research in Signal Processing (1.2k citations), Information Systems (2.0k citations) and Health Information Management (344 citations). Carson K. Leung has collaborated with scholars based in Canada, Italy and Bangladesh. Frequent co-authors include Fan Jiang, Alfredo Cuzzocrea, Richard Kyle MacKinnon, Chowdhury Farhan Ahmed, Christopher L. Carmichael, Adam G.M. Pazdor, Syed Khairuzzaman Tanbeer, Raymond T. Ng, Wookey Lee and Pingzhao Hu. Their work appears in journals such as Applied Intelligence, Information Sciences, Expert Systems with Applications, IEEE Access and Future Generation Computer Systems.
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.