Shifei Ding
Impact in
- Artificial Intelligence top 0.1%
- Machine Learning and ELM
- Advanced Clustering Algorithms Research
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Text and Document Classification Technologies
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- Face and Expression Recognition
Papers in
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- Advanced Clustering Algorithms Research 48
- Neural Networks and Applications 47
- Machine Learning and ELM 45
- Advanced Computational Techniques and Applications 29
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- Face and Expression Recognition 94
- Co-authors
- Junzhao Yu (12 shared papers)Chunyang Su (10 shared papers)Xinzheng Xu (28 shared papers)Hongjie Jia (19 shared papers)Mingjing Du (12 shared papers)Weikuan Jia (28 shared papers)Yu Xue (23 shared papers)Ru Nie (4 shared papers)
In The Last Decade
Shifei Ding
271 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 4.1k
- Computer Vision and Pattern Recognition 2.4k
- Signal Processing 640
- Media Technology 418
- Statistical and Nonlinear Physics 577
Countries citing papers authored by Shifei Ding
This map shows the geographic impact of Shifei Ding'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 Shifei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shifei Ding more than expected).
Fields of papers citing papers by Shifei Ding
This network shows the impact of papers produced by Shifei Ding. 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 Shifei Ding. The network helps show where Shifei Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Shifei Ding, 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 288 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An optimizing BP neural network algorithm based on genetic algorithm Hit paper breakdown → | 2011 | 597 |
| 2 | Extreme learning machine: algorithm, theory and applications Hit paper breakdown → | 2013 | 450 |
| 3 | Study on density peaks clustering based on k-nearest neighbors and principal component analysis Hit paper breakdown → | 2016 | 371 |
| 4 | 2011 | 297 | |
| 5 | A stochastic configuration network based on chaotic sparrow search algorithm Hit paper breakdown → | 2021 | 267 |
| 6 | 2013 | 247 | |
| 7 | 2017 | 175 | |
| 8 | 2020 | 162 | |
| 9 | An improved grid search algorithm to optimize SVR for prediction Hit paper breakdown → | 2021 | 160 |
| 10 | 2013 | 146 | |
| 11 | 2019 | 134 | |
| 12 | 2015 | 131 | |
| 13 | 2015 | 120 | |
| 14 | 2020 | 98 | |
| 15 | 2011 | 89 | |
| 16 | 2018 | 88 | |
| 17 | 2012 | 81 | |
| 18 | 2016 | 76 | |
| 19 | 2015 | 73 | |
| 20 | 2017 | 67 |
About Shifei Ding
Shifei Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 288 papers that have together received 7.8k indexed citations. Recurring topics across this work include Face and Expression Recognition (94 papers), Advanced Clustering Algorithms Research (48 papers), Neural Networks and Applications (47 papers), Machine Learning and ELM (45 papers), Advanced Algorithms and Applications (43 papers), Rough Sets and Fuzzy Logic (32 papers), Advanced Computational Techniques and Applications (29 papers) and Complex Network Analysis Techniques (28 papers). The work is most often cited by research in Artificial Intelligence (4.1k citations), Computer Vision and Pattern Recognition (2.4k citations), Signal Processing (640 citations), Media Technology (418 citations) and Statistical and Nonlinear Physics (577 citations). Shifei Ding has collaborated with scholars based in China, Singapore and Taiwan. Frequent co-authors include Junzhao Yu, Chunyang Su, Xinzheng Xu, Hongjie Jia, Mingjing Du, Weikuan Jia, Yu Xue, Ru Nie, Nan Zhang and Zhongzhi Shi. Their work appears in journals such as Neural Computing and Applications, International Journal of Machine Learning and Cybernetics, Applied Intelligence, Soft Computing and Information Sciences.
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.