Di Cao

4.7k total citations · 1 hit paper
124 papers, 3.4k citations indexed

About

Di Cao is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Di Cao has authored 124 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Electrical and Electronic Engineering, 60 papers in Control and Systems Engineering and 13 papers in Energy Engineering and Power Technology. Recurrent topics in Di Cao's work include Smart Grid Energy Management (35 papers), Microgrid Control and Optimization (33 papers) and Optimal Power Flow Distribution (24 papers). Di Cao is often cited by papers focused on Smart Grid Energy Management (35 papers), Microgrid Control and Optimization (33 papers) and Optimal Power Flow Distribution (24 papers). Di Cao collaborates with scholars based in China, Denmark and United States. Di Cao's co-authors include Weihao Hu, Zhe Chen, Qi Huang, Frede Blaabjerg, Junbo Zhao, Bin Zhang, Xiao Xu, Guozhou Zhang, Zhou Liu and Fei Ding and has published in prestigious journals such as Journal of Power Sources, Journal of Cleaner Production and IEEE Transactions on Industrial Electronics.

In The Last Decade

Di Cao

111 papers receiving 3.3k citations

Hit Papers

Reinforcement Learning and Its Applications in Modern Pow... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review
    2020 280 citations Di Cao, Weihao Hu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Cao China 31 2.7k 1.5k 580 354 260 124 3.4k
Morteza Nazari‐Heris Iran 32 2.5k 1.0× 948 0.6× 461 0.8× 314 0.9× 233 0.9× 85 3.0k
Akhtar Kalam Australia 29 2.6k 1.0× 2.2k 1.4× 483 0.8× 419 1.2× 233 0.9× 205 3.5k
Seyed Hossein Hosseinian Iran 37 4.5k 1.7× 2.8k 1.8× 567 1.0× 395 1.1× 168 0.6× 289 5.3k
Ali Reza Seifi Iran 36 3.5k 1.3× 2.1k 1.3× 721 1.2× 210 0.6× 286 1.1× 120 4.2k
Siqi Bu Hong Kong 32 2.7k 1.0× 1.7k 1.1× 383 0.7× 287 0.8× 178 0.7× 208 3.3k
Guoqing Li China 28 3.2k 1.2× 1.3k 0.9× 582 1.0× 283 0.8× 140 0.5× 149 3.8k
Chun‐Lien Su Taiwan 28 2.4k 0.9× 1.3k 0.9× 388 0.7× 674 1.9× 126 0.5× 196 3.4k
José A. Domínguez‐Navarro Spain 19 2.3k 0.9× 829 0.5× 511 0.9× 519 1.5× 183 0.7× 85 2.8k
Shantha Gamini Jayasinghe Australia 25 1.6k 0.6× 1.3k 0.9× 826 1.4× 529 1.5× 119 0.5× 105 2.7k
Mostafa Sedighizadeh Iran 31 2.6k 1.0× 1.7k 1.1× 306 0.5× 405 1.1× 131 0.5× 140 3.0k

Countries citing papers authored by Di Cao

Since Specialization
Citations

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

Fields of papers citing papers by Di Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Di Cao. A scholar is included among the top collaborators of Di Cao 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 Di Cao. Di Cao 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.
Sun, Haibo, Di Cao, & Zhonglu Liu. (2025). Climate policy uncertainty and corporate supply chain stability. International Review of Economics & Finance. 104. 104581–104581.
3.
Cheng, Xiaomin, Shuo Shi, Di Cao, et al.. (2025). Cavidine alleviates paclitaxel-induced peripheral neuropathy by promoting mitochondrial autophagy through inhibiting PKM2-mediated histone lactylation. Free Radical Biology and Medicine. 241. 367–383.
4.
Cao, Di, et al.. (2025). Resilience-based importance measure for ultra-high voltage converter stations under mainshock-aftershock sequences. Reliability Engineering & System Safety. 262. 111245–111245. 2 indexed citations
5.
Yu, Nanpeng, Patricia Hidalgo-Gonzalez, Roel Dobbe, et al.. (2025). Data-driven control, optimization, and decision-making in active power distribution networks. Applied Energy. 397. 126253–126253. 3 indexed citations
6.
7.
Cao, Di, et al.. (2025). Deep Reinforcement Learning in Power Systems Resilience: A Review. IEEE Transactions on Reliability. 74(4). 5356–5370. 1 indexed citations
8.
Hu, Weihao, et al.. (2024). Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method. Renewable Energy. 225. 120253–120253. 30 indexed citations
9.
10.
Hu, Weihao, Di Cao, Yuehui Huang, et al.. (2023). Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms. Applied Energy. 355. 122185–122185. 22 indexed citations
11.
Hu, Weihao, Di Cao, Qi Huang, et al.. (2023). Application of Deep Reinforcement Learning in Optimal Operation of Distribution Network. VBN Forskningsportal (Aalborg Universitet).
12.
Sun, Haibo & Di Cao. (2023). Impact of China’s carbon emissions trading scheme on urban air quality: a time-varying DID model. Environmental Science and Pollution Research. 30(47). 103862–103876. 4 indexed citations
13.
Zhang, Guozhou, Junbo Zhao, Weihao Hu, et al.. (2023). A Novel Data-Driven Self-Tuning SVC Additional Fractional-Order Sliding Mode Controller for Transient Voltage Stability With Wind Generations. IEEE Transactions on Power Systems. 38(6). 5755–5767. 12 indexed citations
14.
Liao, Qishu, Di Cao, Zhe Chen, Frede Blaabjerg, & Weihao Hu. (2023). Probabilistic wind power forecasting for newly-built wind farms based on multi-task Gaussian process method. Renewable Energy. 217. 119054–119054. 20 indexed citations
15.
Wang, Pu, Di Cao, Shaobo Xia, & Cheng Wang. (2022). A Crown Guess and Selection Framework for Individual Tree Detection From ALS Point Clouds. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 3533–3538. 7 indexed citations
16.
Zhang, Guozhou, Junbo Zhao, Weihao Hu, et al.. (2022). A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation. IEEE Transactions on Control Systems Technology. 31(1). 483–492. 8 indexed citations
17.
Zhang, Guozhou, Weihao Hu, Junbo Zhao, et al.. (2021). A Novel Deep Reinforcement Learning Enabled Multi-Band PSS for Multi-Mode Oscillation Control. IEEE Transactions on Power Systems. 36(4). 3794–3797. 22 indexed citations
18.
Zhang, Guozhou, Weihao Hu, Di Cao, et al.. (2020). Deep Reinforcement Learning-Based Approach for Proportional Resonance Power System Stabilizer to Prevent Ultra-Low-Frequency Oscillations. IEEE Transactions on Smart Grid. 11(6). 5260–5272. 81 indexed citations
19.
Cao, Di. (2013). The Logistics Policy Simulation of Energy Saving and Emission Reduction Based on System Dynamics. Systems Engineering. 1 indexed citations
20.
Liu, Dongsheng, et al.. (2007). Finite element formulation of slender structures with shear deformation based on the Cosserat theory. International Journal of Solids and Structures. 44(24). 7785–7802. 11 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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