LI Cheng-hui
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Marketing top 10%
- Customer churn and segmentation
- Consumer Market Behavior and Pricing
Papers in
-
- Railway Engineering and Dynamics 4
- Gear and Bearing Dynamics Analysis 2
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- Simulation and Modeling Applications 2
- Co-authors
- Charles X. Ling (1 shared paper)Yongqiang Tang (1 shared paper)Feng Dai (1 shared paper)Yutao Liu (1 shared paper)Jelena Diakonikolas (1 shared paper)Shuguang Yan (1 shared paper)
- Journals
- Journal of Petroleum Science and Engineering (1 paper)Knowledge Discovery and Data Mining (1 paper)Engineering Mechanics (1 paper)Journal of the China Railway Society (1 paper)
In The Last Decade
LI Cheng-hui
6 papers receiving 423 citations
Peers
Comparison fields: 5 of 104
- Artificial Intelligence 274
- Marketing 66
- Information Systems 124
- Health Information Management 20
- Software 10
Countries citing papers authored by LI Cheng-hui
This map shows the geographic impact of LI Cheng-hui'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 LI Cheng-hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LI Cheng-hui more than expected).
Fields of papers citing papers by LI Cheng-hui
This network shows the impact of papers produced by LI Cheng-hui. 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 LI Cheng-hui. The network helps show where LI Cheng-hui may publish in the future.
Co-authors
The 6 scholars most cited alongside LI Cheng-hui, 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 | Data mining for direct marketing: problems and solutions | 1998 | 443 |
| 2 | 2013 | 24 | |
| 3 | 2020 | 1 | |
| 4 | COMPARATIVE STUDIES ON STRESS ANALYSIS MODEL OF RAILWAY RAILS | 2013 | 1 |
| 5 | Study on Controlling the Swiching Force and Scant Displacement of the Point Rail of the High Speed Turnout | 2008 | 1 |
| 6 | 2013 | 1 | |
| 7 | Wheel/Rail Contact Irregularity in Crossing Zone of High-Speed Turnout | 2008 | 1 |
| 8 | 2022 | 0 |
About LI Cheng-hui
LI Cheng-hui is a scholar working on Mechanical Engineering, Control and Systems Engineering, General Engineering, Information Systems and Ocean Engineering, having authored 8 papers that have together received 472 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (4 papers), Civil and Geotechnical Engineering Research (2 papers), Simulation and Modeling Applications (2 papers), Gear and Bearing Dynamics Analysis (2 papers), Imbalanced Data Classification Techniques (1 paper), Spam and Phishing Detection (1 paper), Railway Systems and Energy Efficiency (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Artificial Intelligence (274 citations), Marketing (66 citations), Information Systems (124 citations), Health Information Management (20 citations) and Software (10 citations). LI Cheng-hui has collaborated with scholars based in China and Canada. Frequent co-authors include Charles X. Ling, Yongqiang Tang, Feng Dai, Yutao Liu, Jelena Diakonikolas and Shuguang Yan. Their work appears in journals such as Journal of Petroleum Science and Engineering, Knowledge Discovery and Data Mining, Engineering Mechanics and Journal of the China Railway Society.
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.