Ye Ren
Impact in
- Artificial Intelligence top 2%
- Solar Radiation and Photovoltaics
- Machine Learning and ELM
- Machine Learning and Data Classification
- Neural Networks and Applications
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- Energy Load and Power Forecasting
Papers in
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- Machine Learning and Data Classification 6
- Machine Learning and ELM 4
- Imbalanced Data Classification Techniques 4
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- Energy Load and Power Forecasting 11
- Advancements in Semiconductor Devices and Circuit Design 5
- Co-authors
- Ponnuthurai Nagaratnam Suganthan (18 shared papers)Le Zhang (5 shared papers)Gehan A. J. Amaratunga (5 shared papers)Narasimalu Srikanth (4 shared papers)Xueheng Qiu (5 shared papers)Dipak Laha (1 shared paper)Yinhua Liu (3 shared papers)Soham Sarkar (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Applied Soft Computing (1 paper)IEEE Transactions on Sustainable Energy (1 paper)IEEE Computational Intelligence Magazine (1 paper)
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Ye Ren
30 papers receiving 2.5k citations
Ye Ren's Hit Papers
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 606
- Electrical and Electronic Engineering 959
- Management Science and Operations Research 280
- Signal Processing 107
- Environmental Engineering 124
Countries citing papers authored by Ye Ren
This map shows the geographic impact of Ye Ren'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 Ye Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ren more than expected).
Fields of papers citing papers by Ye Ren
This network shows the impact of papers produced by Ye Ren. 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 Ye Ren. The network helps show where Ye Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Ren, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article] Hit paper breakdown → | 2016 | 573 |
| 2 | Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting Hit paper breakdown → | 2017 | 389 |
| 3 | Ensemble methods for wind and solar power forecasting—A state-of-the-art review Hit paper breakdown → | 2015 | 373 |
| 4 | 2014 | 297 | |
| 5 | 2014 | 285 | |
| 6 | 2016 | 251 | |
| 7 | 2014 | 186 | |
| 8 | 2015 | 80 | |
| 9 | 2014 | 26 | |
| 10 | 2014 | 24 | |
| 11 | 2015 | 18 | |
| 12 | 2014 | 16 | |
| 13 | 2013 | 12 | |
| 14 | 2017 | 12 | |
| 15 | 2023 | 10 | |
| 16 | Empirical comparison of bagging-based ensemble classifiers | 2012 | 9 |
| 17 | 2013 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 6 |
About Ye Ren
Ye Ren is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Statistics and Probability and Information Systems, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (11 papers), Machine Learning and Data Classification (6 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Machine Learning and ELM (4 papers), Imbalanced Data Classification Techniques (4 papers), GNSS positioning and interference (4 papers), Network Time Synchronization Technologies (2 papers) and Advanced Frequency and Time Standards (2 papers). The work is most often cited by research in Artificial Intelligence (606 citations), Electrical and Electronic Engineering (959 citations), Management Science and Operations Research (280 citations), Signal Processing (107 citations) and Environmental Engineering (124 citations). Ye Ren has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Ponnuthurai Nagaratnam Suganthan, Le Zhang, Gehan A. J. Amaratunga, Narasimalu Srikanth, Xueheng Qiu, Dipak Laha, Yinhua Liu, Soham Sarkar, Xiulong Wu and Huijun Zhang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems, Applied Soft Computing, IEEE Transactions on Sustainable Energy and IEEE Computational Intelligence Magazine.
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.