Rui Ye

943 total citations
24 papers, 588 citations indexed

About

Rui Ye is a scholar working on Artificial Intelligence, Management Science and Operations Research and Control and Systems Engineering. According to data from OpenAlex, Rui Ye has authored 24 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Control and Systems Engineering. Recurrent topics in Rui Ye's work include Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (3 papers). Rui Ye is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and ELM (3 papers). Rui Ye collaborates with scholars based in China, United States and Israel. Rui Ye's co-authors include Qun Dai, Zhuan Liu, Jinhua Li, Luojia Wang, Guangzhen Li, Xianfeng Chen, Yuanlin Zheng, Luqi Yuan, Yiling Xu and Xiaozhong Xu and has published in prestigious journals such as Nature Communications, Nanoscale and IEEE Transactions on Signal Processing.

In The Last Decade

Rui Ye

23 papers receiving 580 citations

Peers

Rui Ye
Zijian Li China
Jingru Zhang China
Hae‐Dong Kim South Korea
Yu Yang China
Zhigang Liu China
Zhihui Li China
Wei Cao China
Yu Xiang China
Xiaofeng Zhou China
Zijian Li China
Rui Ye
Citations per year, relative to Rui Ye Rui Ye (= 1×) peers Zijian Li

Countries citing papers authored by Rui Ye

Since Specialization
Citations

This map shows the geographic impact of Rui Ye'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 Rui Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Ye more than expected).

Fields of papers citing papers by Rui Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rui Ye. 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 Rui Ye. The network helps show where Rui Ye may publish in the future.

Co-authorship network of co-authors of Rui Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Ye. A scholar is included among the top collaborators of Rui Ye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rui Ye. Rui Ye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ye, Rui, Yanyan He, Guangzhen Li, et al.. (2025). Observing non-Hermiticity induced chirality breaking in a synthetic Hall ladder. Light Science & Applications. 14(1). 39–39. 12 indexed citations
2.
Ye, Rui, et al.. (2025). Incentivizing inclusive contributions in model sharing markets. Nature Communications. 16(1). 7923–7923. 1 indexed citations
3.
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Ye, Rui, et al.. (2024). Self-assembled methodologies for the construction of DNA nanostructures and biological applications. Biomaterials Science. 12(15). 3712–3724. 5 indexed citations
6.
Ye, Rui, Wenhao Wang, Yuxiao Wang, et al.. (2024). FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units. IEEE Transactions on Intelligent Transportation Systems. 25(11). 18321–18337. 1 indexed citations
7.
Yi, Jingwei, Rui Ye, Bin Zhu, et al.. (2024). On the Vulnerability of Safety Alignment in Open-Access LLMs. 9236–9260. 2 indexed citations
8.
Ye, Rui, et al.. (2023). FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning. IEEE Transactions on Signal Processing. 71. 4224–4239. 18 indexed citations
9.
Li, Guangzhen, Luojia Wang, Rui Ye, et al.. (2023). Direct extraction of topological Zak phase with the synthetic dimension. Light Science & Applications. 12(1). 81–81. 39 indexed citations
10.
Yang, Qi, Rui Ye, Yujie Zhang, et al.. (2023). GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. IEEE Transactions on Visualization and Computer Graphics. 30(8). 4955–4967. 46 indexed citations
11.
Luo, Chuyao, et al.. (2022). RAP-Net: Region Attention Predictive Network for precipitation nowcasting. Geoscientific model development. 15(13). 5407–5419. 10 indexed citations
12.
Zhang, Baoquan, et al.. (2022). MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 36(8). 9014–9021. 24 indexed citations
13.
Ji, Zhenya, Hao Li, Yu‐Qing Bao, et al.. (2022). Selection Game for Consensus-Based Decentralized Aggregators of Distributed Energy Resources in a Blockchain Ecosystem. IEEE Access. 10. 108722–108735. 1 indexed citations
14.
Jiang, Kai, Di Zhao, Rui Ye, et al.. (2021). Transdermal delivery of poly-hyaluronic acid-based spherical nucleic acids for chemogene therapy. Nanoscale. 14(5). 1834–1846. 18 indexed citations
15.
Ye, Rui & Qun Dai. (2020). Implementing transfer learning across different datasets for time series forecasting. Pattern Recognition. 109. 107617–107617. 79 indexed citations
16.
Ye, Rui & Qun Dai. (2018). A novel transfer learning framework for time series forecasting. Knowledge-Based Systems. 156. 74–99. 101 indexed citations
17.
Li, Jinhua, Qun Dai, & Rui Ye. (2018). A novel double incremental learning algorithm for time series prediction. Neural Computing and Applications. 31(10). 6055–6077. 33 indexed citations
18.
Ye, Rui & Qun Dai. (2017). A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. Neural Processing Letters. 5 indexed citations
19.
Dai, Qun, Rui Ye, & Zhuan Liu. (2017). Considering diversity and accuracy simultaneously for ensemble pruning. Applied Soft Computing. 58. 75–91. 65 indexed citations
20.
Ye, Rui. (2008). Research on and Design of Liquor Blending Management Automation System. Liquor-making Science & Technology. 1 indexed citations

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.

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