Yanmin Sun
- Artificial Intelligence top 0.5%
- Imbalanced Data Classification Techniques 3
- Accounting top 5%
- Financial Distress and Bankruptcy Prediction 3
- Information Systems top 2%
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- Electricity Theft Detection Techniques 3
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- Medical Imaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 1
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- Infrastructure Maintenance and Monitoring 2
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- Railway Engineering and Dynamics 2
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- Advanced X-ray and CT Imaging 2
- Journals
- Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Applied Sciences (1 paper)Pattern Recognition (1 paper)
- Partner nations
- CanadaUnited KingdomChina
In The Last Decade
Yanmin Sun
7 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 1.7k
- Health Information Management 177
- Accounting 191
- Computer Vision and Pattern Recognition 299
- Information Systems 300
Countries citing papers authored by Yanmin Sun
This map shows the geographic impact of Yanmin Sun'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 Yanmin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanmin Sun more than expected).
Fields of papers citing papers by Yanmin Sun
This network shows the impact of papers produced by Yanmin Sun. 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 Yanmin Sun. The network helps show where Yanmin Sun may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Yanmin Sun, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2020 | 38 | |
| 5 | 2019 | 13 | |
| 6 | 2016 | 12 | |
| 7 | CLASSIFICATION OF IMBALANCED DATA: A REVIEWbreakdown → | 2009 | 1158 |
| 8 | Cost-sensitive boosting for classification of imbalanced databreakdown → | 2007 | 1059 |
| 9 | An Overview of Associative Classifiers. | 2006 | 9 |
| 10 | 2006 | 214 |
About Yanmin Sun
Yanmin Sun is a scholar working on Accounting, Signal Processing, Human-Computer Interaction, Artificial Intelligence and Neurology, having authored 10 papers that have together received 2.5k indexed citations. Recurring topics across this work include Electricity Theft Detection Techniques (3 papers), Imbalanced Data Classification Techniques (3 papers), Financial Distress and Bankruptcy Prediction (3 papers), Medical Imaging Techniques and Applications (2 papers), Infrastructure Maintenance and Monitoring (2 papers), Railway Engineering and Dynamics (2 papers), Advanced X-ray and CT Imaging (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Artificial Intelligence (1.7k citations), Health Information Management (177 citations), Accounting (191 citations), Computer Vision and Pattern Recognition (299 citations) and Information Systems (300 citations). Yanmin Sun has collaborated with scholars based in Canada, United Kingdom and China. Frequent co-authors include Mohamed S. Kamel, Andrew K. C. Wong, Yang Wang, Chunsheng Yang, Yan Liu, Yan Liu, Yang Wang, Ailong Cai, Lei Li and Guoen Hu. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences, Pattern Recognition, IEEE Transactions on Nuclear Science and International Journal of Pattern Recognition and 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.