Qun Zhou

1.0k total citations
44 papers, 747 citations indexed

About

Qun Zhou is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Qun Zhou has authored 44 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Qun Zhou's work include Smart Grid Energy Management (16 papers), Energy Load and Power Forecasting (11 papers) and Optimal Power Flow Distribution (11 papers). Qun Zhou is often cited by papers focused on Smart Grid Energy Management (16 papers), Energy Load and Power Forecasting (11 papers) and Optimal Power Flow Distribution (11 papers). Qun Zhou collaborates with scholars based in United States, China and Ireland. Qun Zhou's co-authors include Wei Sun, Amir Golshani, Qipeng P. Zheng, Feng Cao, Wenyi Wang, Shuangshuang Jin, Lei Wang, Chen‐Ching Liu, Leigh Tesfatsion and Yunhe Hou and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Access.

In The Last Decade

Qun Zhou

42 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qun Zhou United States 14 540 281 105 95 90 44 747
Mousa Afrasiabi Iran 18 676 1.3× 375 1.3× 57 0.5× 62 0.7× 166 1.8× 35 861
Shahabodin Afrasiabi Iran 17 606 1.1× 346 1.2× 56 0.5× 57 0.6× 150 1.7× 40 789
Chengjin Ye China 18 865 1.6× 358 1.3× 58 0.6× 61 0.6× 79 0.9× 66 1.1k
S.N. Khalid Malaysia 17 599 1.1× 197 0.7× 30 0.3× 89 0.9× 136 1.5× 60 799
Dechang Yang China 17 762 1.4× 444 1.6× 43 0.4× 39 0.4× 82 0.9× 74 933
Stephen Frank United States 15 1.0k 1.9× 529 1.9× 48 0.5× 156 1.6× 47 0.5× 35 1.3k
Robert John Millar Finland 19 734 1.4× 351 1.2× 32 0.3× 54 0.6× 92 1.0× 66 868
Ivo Palu Estonia 15 625 1.2× 292 1.0× 34 0.3× 47 0.5× 41 0.5× 101 772
Andrea Michiorri France 18 722 1.3× 630 2.2× 66 0.6× 72 0.8× 42 0.5× 39 1.0k
Da Huo China 17 767 1.4× 269 1.0× 41 0.4× 61 0.6× 57 0.6× 59 990

Countries citing papers authored by Qun Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Qun Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Zhou. A scholar is included among the top collaborators of Qun Zhou 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 Qun Zhou. Qun Zhou 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.
Zhou, Qun, et al.. (2024). Government R&D Subsidies, Environmental regulation and corporate green innovation performance. Finance research letters. 69. 106088–106088. 13 indexed citations
2.
Wang, Shan, et al.. (2021). On Automating BACnet Device Discovery and Property Identification. 1–6. 1 indexed citations
3.
Dimitrovski, Aleksandar, et al.. (2021). Predictive Coordinated and Cooperative Voltage Control for Systems With High Penetration of PV. IEEE Transactions on Industry Applications. 57(3). 2212–2222. 37 indexed citations
4.
Gu, Yingzhong, et al.. (2021). Neural-network-based Power System State Estimation with Extended Observability. Journal of Modern Power Systems and Clean Energy. 9(5). 1043–1053. 22 indexed citations
5.
Faddel, Samy, et al.. (2021). Privacy-Based Coordination of Commercial Buildings in Distribution Systems. 2021 IEEE Industry Applications Society Annual Meeting (IAS). 9. 1–6. 1 indexed citations
6.
Safayatullah, Md, Qun Zhou, & Issa Batarseh. (2021). Smoothing of PV Output Power in Grid-Tied Energy Storage System with Model Predictive Control and Battery Lifetime Consideration. 45. 504–511. 3 indexed citations
7.
Gu, Yingzhong, Zhe Yu, Qibing Zhang, et al.. (2021). Enhanced denosing autoencoder aided bad data filtering for synchrophasor-based state estimation. CSEE Journal of Power and Energy Systems. 2 indexed citations
8.
Faddel, Samy, et al.. (2020). Optimal Coordination of HVAC Scheduling for Commercial Buildings. 1–5. 6 indexed citations
9.
Faddel, Samy, et al.. (2020). Data Driven Q-Learning for Commercial HVAC Control. 9 indexed citations
10.
Wang, Lei, Qun Zhou, & Shuangshuang Jin. (2020). Physics-guided Deep Learning for Power System State Estimation. Journal of Modern Power Systems and Clean Energy. 8(4). 607–615. 62 indexed citations
11.
Wang, Lei & Qun Zhou. (2019). Physics-Guided Deep Learning for Time-Series State Estimation Against False Data Injection Attacks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–6. 9 indexed citations
12.
Zhou, Qun, et al.. (2019). A copula-based Bayesian method for probabilistic solar power forecasting. Solar Energy. 196. 336–345. 61 indexed citations
13.
Holloway, Lawrence E., Zhihua Qu, Margaret J. Mohr‐Schroeder, et al.. (2017). A Multi-Institutional Approach to Delivering Shared Curricula for Developing a Next-Generation Energy Workforce. IEEE Access. 5. 1416–1427. 1 indexed citations
14.
Golshani, Amir, Wei Sun, Qun Zhou, Qipeng P. Zheng, & Jianzhong Tong. (2017). Two-Stage Adaptive Restoration Decision Support System for a Self-Healing Power Grid. IEEE Transactions on Industrial Informatics. 13(6). 2802–2812. 70 indexed citations
15.
Sun, Wei, et al.. (2015). Chance-constrained real-time volt/var optimization using simulated annealing. 1–5. 7 indexed citations
16.
Sun, Wei, et al.. (2014). On battery storage system for load pickup in power system restoration. 1–5. 14 indexed citations
17.
Sun, Wei, Pei Zhang, & Qun Zhou. (2012). Optimization-based strategies towards a self-healing smart grid. 1–6. 6 indexed citations
18.
Zhou, Qun, Leigh Tesfatsion, & Chen‐Ching Liu. (2010). Short-Term Congestion Forecasting in Wholesale Power Markets. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
19.
Zhou, Qun, Leigh Tesfatsion, & Chen‐Ching Liu. (2010). Global sensitivity analysis for the short-term prediction of system variables. 1–8. 5 indexed citations
20.
Zhou, Qun, Leigh Tesfatsion, & Chen‐Ching Liu. (2009). Scenario generation for price forecasting in restructured wholesale power markets. 37. 1–8. 6 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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