Yuehui Chen
- Artificial Intelligence top 0.5%
- Neural Networks and Applications 37
- Evolutionary Algorithms and Applications 20
- Signal Processing top 2%
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- Network Security and Intrusion Detection 19
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- Machine Learning in Bioinformatics 38
- RNA and protein synthesis mechanisms 16
- Gene expression and cancer classification 16
- Genomics and Phylogenetic Studies 15
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- Face and Expression Recognition 15
- Co-authors
- Bo YangAjith AbrahamJiwen DongLizhi PengShiyuan HanQingfang MengBin YangYuan Zhang
- Journals
- Neurocomputing (10 papers)BMC Bioinformatics (7 papers)International Journal of Fuzzy Systems (6 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yuehui Chen
234 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 163
- Artificial Intelligence 1.5k
- Signal Processing 388
- Computer Networks and Communications 629
- Control and Systems Engineering 523
- Management Science and Operations Research 263
Countries citing papers authored by Yuehui Chen
This map shows the geographic impact of Yuehui Chen'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 Yuehui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuehui Chen more than expected).
Fields of papers citing papers by Yuehui Chen
This network shows the impact of papers produced by Yuehui Chen. 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 Yuehui Chen. The network helps show where Yuehui Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuehui Chen, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 34 | |
| 12 | 2020 | 15 | |
| 13 | 2020 | 36 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 8 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2016 | 36 | |
| 19 | Pricing model of bidirectional peak-valley for motivating CCHP to participate in DSM | 2016 | 2 |
| 20 | 2011 | 1 |
About Yuehui Chen
Yuehui Chen is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Media Technology and Computer Networks and Communications, having authored 250 papers that have together received 3.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (38 papers), Neural Networks and Applications (37 papers), Evolutionary Algorithms and Applications (20 papers), Network Security and Intrusion Detection (19 papers), RNA and protein synthesis mechanisms (16 papers), Gene expression and cancer classification (16 papers), Genomics and Phylogenetic Studies (15 papers) and Face and Expression Recognition (15 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Signal Processing (388 citations), Computer Networks and Communications (629 citations), Control and Systems Engineering (523 citations) and Management Science and Operations Research (263 citations). Yuehui Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bo Yang, Ajith Abraham, Jiwen Dong, Lizhi Peng, Shiyuan Han, Qingfang Meng, Bin Yang, Yuan Zhang, Nitesh V. Chawla and Wenzheng Bao. Their work appears in journals such as Neurocomputing, BMC Bioinformatics, International Journal of Fuzzy Systems, IEEE Access and Electronics.
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.