Di Shi

6.2k total citations · 1 hit paper
182 papers, 4.4k citations indexed

About

Di Shi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Di Shi has authored 182 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Electrical and Electronic Engineering, 101 papers in Control and Systems Engineering and 19 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Di Shi's work include Optimal Power Flow Distribution (57 papers), Power System Optimization and Stability (57 papers) and Microgrid Control and Optimization (54 papers). Di Shi is often cited by papers focused on Optimal Power Flow Distribution (57 papers), Power System Optimization and Stability (57 papers) and Microgrid Control and Optimization (54 papers). Di Shi collaborates with scholars based in United States, China and Denmark. Di Shi's co-authors include Zhiwei Wang, Jiajun Duan, Ruisheng Diao, Zhehan Yi, Daniel Tylavsky, Zhe Yu, Desong Bian, Xiaohu Zhang, Naim Logic and Yishen Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Di Shi

175 papers receiving 4.3k citations

Hit Papers

Deep-Reinforcement-Learning-Based Autonomous Voltage Cont... 2019 2026 2021 2023 2019 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. Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations
    2019 296 citations Jiajun Duan, Di Shi et al. IEEE Transactions on Power Systems 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 Shi United States 37 3.3k 2.2k 325 284 227 182 4.4k
Salman Mohagheghi United States 28 2.6k 0.8× 1.8k 0.8× 235 0.7× 565 2.0× 238 1.0× 120 3.8k
Baosen Zhang United States 31 3.1k 0.9× 1.5k 0.7× 376 1.2× 301 1.1× 126 0.6× 138 3.7k
Yasuhiro Hayashi Japan 25 2.6k 0.8× 1.4k 0.6× 348 1.1× 307 1.1× 289 1.3× 465 3.5k
Zbigniew Leonowicz Poland 35 2.5k 0.7× 1.3k 0.6× 417 1.3× 517 1.8× 153 0.7× 250 4.4k
Sherif S. M. Ghoneim Saudi Arabia 37 3.1k 0.9× 1.2k 0.5× 367 1.1× 621 2.2× 98 0.4× 223 4.4k
Guowei Cai China 38 1.9k 0.6× 2.3k 1.0× 462 1.4× 364 1.3× 182 0.8× 136 4.6k
Hui Liu China 31 2.5k 0.8× 1.2k 0.6× 688 2.1× 143 0.5× 102 0.4× 204 3.9k
Zheng Yan China 33 2.5k 0.7× 1.1k 0.5× 269 0.8× 369 1.3× 323 1.4× 248 3.6k
Fang Liu China 31 2.6k 0.8× 1.4k 0.7× 296 0.9× 531 1.9× 76 0.3× 209 3.9k
Dongsheng Yang China 32 1.2k 0.4× 1.3k 0.6× 168 0.5× 429 1.5× 95 0.4× 245 3.4k

Countries citing papers authored by Di Shi

Since Specialization
Citations

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

Fields of papers citing papers by Di Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Di Shi. A scholar is included among the top collaborators of Di Shi 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 Shi. Di Shi 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.
Dang, Jiajia, Yaqi Wang, Ning Ma, et al.. (2024). The impact of long-term exposure to NO2, O3, and their oxidative potential on adolescents’ mental health, and the protective role of school-based greenness. Environment International. 195. 109212–109212. 7 indexed citations
2.
Shi, Di, et al.. (2024). Investigating emotional design of the intelligent cockpit based on visual sequence data and improved LSTM. Advanced Engineering Informatics. 61. 102557–102557. 16 indexed citations
3.
Zhao, Xiaoli, Di Shi, Zhaomin Dong, et al.. (2023). Integrating Physiologically Based Pharmacokinetic Modeling-Based Forward Dosimetry and in Vitro Bioassays to Improve the Risk Assessment of Organophosphate Esters on Human Health. Environmental Science & Technology. 57(4). 1764–1775. 15 indexed citations
4.
Teng, Miaomiao, Xiaoli Zhao, Di Shi, et al.. (2022). Zebrafish (Danio rerio) Reproduction Is Affected by Life-Cycle Exposure to Differently Charged Polystyrene Nanoplastics with Sex-Specific Responses. ACS ES&T Water. 2(12). 2558–2566. 11 indexed citations
5.
Lin, You, Yishen Wang, Jianhui Wang, & Di Shi. (2021). Tensor-Based Parameter Reduction of Dynamic Load Models With Variable Frequency Drive. IEEE Transactions on Power Systems. 37(2). 1091–1101. 5 indexed citations
6.
Kamruzzaman, Md., Xiaohu Zhang, Michael Abdelmalak, Di Shi, & Mohammed Benidris. (2021). A data-driven accurate battery model to use in probabilistic analyses of power systems. Journal of Energy Storage. 44. 103292–103292. 8 indexed citations
7.
Wang, Xinan, Yishen Wang, Di Shi, Jianhui Wang, & Zhiwei Wang. (2020). Two-Stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach. IEEE Transactions on Smart Grid. 11(5). 4331–4344. 51 indexed citations
8.
Yu, Zhe, et al.. (2020). Wide-Area Measurement System-Based Low Frequency Oscillation Damping Control Through Reinforcement Learning. IEEE Transactions on Smart Grid. 11(6). 5072–5083. 51 indexed citations
9.
Wang, Shengyi, Jiajun Duan, Di Shi, et al.. (2020). A Data-Driven Multi-Agent Autonomous Voltage Control Framework Using Deep Reinforcement Learning. IEEE Transactions on Power Systems. 35(6). 4644–4654. 209 indexed citations
10.
Ma, Zixiao, Kaveh Dehghanpour, Zhaoyu Wang, et al.. (2020). Imitation and Transfer Q-Learning-Based Parameter Identification for Composite Load Modeling. IEEE Transactions on Smart Grid. 12(2). 1674–1684. 21 indexed citations
11.
Meng, Yao, Zhe Yu, Ning Lü, & Di Shi. (2020). Time Series Classification for Locating Forced Oscillation Sources. IEEE Transactions on Smart Grid. 12(2). 1712–1721. 35 indexed citations
12.
Wang, Siqi, Ruisheng Diao, Chunlei Xu, Di Shi, & Zhiwei Wang. (2020). On Multi-Event Co-Calibration of Dynamic Model Parameters Using Soft Actor-Critic. IEEE Transactions on Power Systems. 36(1). 521–524. 40 indexed citations
13.
Li, Haifeng, Ruisheng Diao, Xiaohu Zhang, et al.. (2019). An Integrated Online Dynamic Security Assessment System for Improved Situational Awareness and Economic Operation. IEEE Access. 7. 162571–162582. 12 indexed citations
14.
Duan, Jiajun, Di Shi, Ruisheng Diao, et al.. (2019). Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operations. IEEE Transactions on Power Systems. 35(1). 814–817. 296 indexed citations breakdown →
15.
Li, Haifeng, et al.. (2019). Bayesian Estimation on Load Model Coefficients of ZIP and Induction Motor Model. Energies. 12(3). 547–547. 10 indexed citations
16.
Yao, Rui, Kai Sun, Di Shi, & Xiaohu Zhang. (2018). Voltage Stability Analysis of Power Systems With Induction Motors Based on Holomorphic Embedding. IEEE Transactions on Power Systems. 34(2). 1278–1288. 37 indexed citations
17.
Zhang, Xiaohu, Di Shi, Zhiwei Wang, et al.. (2017). Optimal allocation of static var compensator via mixed integer conic programming. 1–5. 4 indexed citations
18.
Asghari, Babak, et al.. (2016). Resilient microgrid management solution. Queensland's institutional digital repository (The University of Queensland). 10(2). 103–106. 1 indexed citations
19.
20.
Shi, Di. (2014). PMU-Based Transmission Line Parameter Identification at China Southern Power Grid. Indonesian Journal of Electrical Engineering and Computer Science. 3(3). 190–198. 2 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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