Chao Ren

1.9k total citations
74 papers, 1.2k citations indexed

About

Chao Ren is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Chao Ren has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 29 papers in Artificial Intelligence and 22 papers in Control and Systems Engineering. Recurrent topics in Chao Ren's work include Power System Optimization and Stability (16 papers), Smart Grid Security and Resilience (14 papers) and Machine Learning and ELM (11 papers). Chao Ren is often cited by papers focused on Power System Optimization and Stability (16 papers), Smart Grid Security and Resilience (14 papers) and Machine Learning and ELM (11 papers). Chao Ren collaborates with scholars based in Singapore, China and Australia. Chao Ren's co-authors include Yan Xu, Rui Zhang, Yuchen Zhang, Qiaoqiao Li, Chao Wu, Ming Du, Xiaochen Bo, Feng Liu, Wenjie Shu and Xianbing Xu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Chao Ren

65 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chao Ren Singapore 18 587 353 280 201 168 74 1.2k
Tomo Popović Montenegro 17 362 0.6× 209 0.6× 104 0.4× 74 0.4× 25 0.1× 78 997
R. Chakrabarti India 14 2.1k 3.5× 366 1.0× 423 1.5× 92 0.5× 110 0.7× 44 2.4k
Muhammad Mohsin Ansari Pakistan 14 306 0.5× 237 0.7× 363 1.3× 15 0.1× 105 0.6× 17 1.2k
Yu‐Huei Cheng Taiwan 18 400 0.7× 244 0.7× 66 0.2× 85 0.4× 409 2.4× 101 1.2k
Joachim Schmid Germany 20 105 0.2× 81 0.2× 244 0.9× 212 1.1× 733 4.4× 90 1.9k
Yankai Cao Canada 19 599 1.0× 361 1.0× 57 0.2× 95 0.5× 30 0.2× 65 1.2k
Cong Liu China 16 99 0.2× 98 0.3× 704 2.5× 24 0.1× 38 0.2× 58 1.2k
Kyung‐Bin Song South Korea 16 679 1.2× 299 0.8× 90 0.3× 58 0.3× 73 0.4× 81 917
Sourabh Jain India 20 619 1.1× 114 0.3× 114 0.4× 59 0.3× 130 0.8× 102 1.6k

Countries citing papers authored by Chao Ren

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ren. A scholar is included among the top collaborators of Chao Ren 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 Chao Ren. Chao Ren 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.
2.
Li, Qiaoqiao, Yan Xu, Chao Ren, & Rui Zhang. (2025). Enhancing Trustworthiness of Data-Driven Power System Dynamic Security Assessment via Hybrid Credibility Learning. IEEE Transactions on Power Systems. 40(3). 2791–2794.
3.
Cai, Wenqiang, Xiaokang Na, Chao Ren, et al.. (2024). Structure of yuba films at the air/liquid interface as effected by the interfacial adsorption behavior of protein aggregates. Food Chemistry. 460(Pt 3). 140818–140818. 7 indexed citations
4.
Cai, Wenqiang, Junwei Zhang, Xiaokang Na, et al.. (2024). A straight-forward fabrication of yuba films with controllable mechanical properties by oil-in-water emulsion model system rather than soymilk. International Journal of Biological Macromolecules. 281(Pt 3). 136457–136457. 2 indexed citations
5.
Ren, Chao, C. L. Zou, Zehui Xiong, et al.. (2024). Achieving 500X Acceleration for Adversarial Robustness Verification of Tree-Based Smart Grid Dynamic Security Assessment. IEEE/CAA Journal of Automatica Sinica. 11(3). 800–802.
6.
7.
Ren, Chao, et al.. (2024). Forecasting masked‐load with invisible distributed energy resources based on transfer learning and Bayesian tuning. SHILAP Revista de lepidopterología. 5(5). 316–326. 4 indexed citations
8.
Ren, Chao, Zhao Yang Dong, Han Yu, et al.. (2024). ESQFL: Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids. IEEE Journal of Selected Topics in Signal Processing. 18(5). 964–978. 8 indexed citations
9.
Ren, Chao, et al.. (2023). Novel ternary compound transition metal dichalcogenide TiNbS4 as promising anodes materials for Li-ion batteries: A DFT study. Applied Surface Science. 615. 156322–156322. 13 indexed citations
10.
Ren, Chao, Rudai Yan, Minrui Xu, et al.. (2023). QFDSA: A Quantum-Secured Federated Learning System for Smart Grid Dynamic Security Assessment. IEEE Internet of Things Journal. 11(5). 8414–8426. 13 indexed citations
11.
Ren, Chao, Han Yu, Rudai Yan, et al.. (2023). SecFedSA: A Secure Differential-Privacy-Based Federated Learning Approach for Smart Cyber–Physical Grid Stability Assessment. IEEE Internet of Things Journal. 11(4). 5578–5588. 14 indexed citations
12.
Song, Qun, Rui Tan, Chao Ren, et al.. (2022). On Credibility of Adversarial Examples Against Learning-Based Grid Voltage Stability Assessment. IEEE Transactions on Dependable and Secure Computing. 21(2). 585–599. 9 indexed citations
13.
Ren, Chao, Xiaohan Zheng, Jiamei Wang, et al.. (2022). Enhanced thermal stability of soy protein particles by a combined treatment of microfluidic homogenisation and preheating. International Journal of Food Science & Technology. 57(5). 3089–3097. 4 indexed citations
14.
Ren, Chao & Yan Xu. (2022). A Universal Defense Strategy for Data-Driven Power System Stability Assessment Models Under Adversarial Examples. IEEE Internet of Things Journal. 10(9). 7568–7576. 16 indexed citations
15.
Ren, Chao & Yan Xu. (2022). Robustness Verification for Machine-Learning-Based Power System Dynamic Security Assessment Models Under Adversarial Examples. IEEE Transactions on Control of Network Systems. 9(4). 1645–1654. 27 indexed citations
16.
Xu, Yan, et al.. (2022). A Transfer Learning Method for Forecasting Masked-Load With Behind-the-Meter Distributed Energy Resources. IEEE Transactions on Smart Grid. 13(6). 4961–4964. 12 indexed citations
17.
Ren, Chao, Xiaoning Du, Yan Xu, et al.. (2021). Vulnerability Analysis, Robustness Verification, and Mitigation Strategy for Machine Learning-Based Power System Stability Assessment Model Under Adversarial Examples. IEEE Transactions on Smart Grid. 13(2). 1622–1632. 29 indexed citations
18.
Li, Qiaoqiao, Yan Xu, & Chao Ren. (2020). A Hierarchical Data-Driven Method for Event-Based Load Shedding Against Fault-Induced Delayed Voltage Recovery in Power Systems. IEEE Transactions on Industrial Informatics. 17(1). 699–709. 57 indexed citations
19.
Ren, Chao & Yan Xu. (2019). A Fully Data-Driven Method Based on Generative Adversarial Networks for Power System Dynamic Security Assessment With Missing Data. IEEE Transactions on Power Systems. 34(6). 5044–5052. 188 indexed citations
20.
Ren, Chao & Yan Xu. (2019). Transfer Learning-Based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults. IEEE Transactions on Power Systems. 35(1). 821–824. 83 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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