Mao Tan

1.3k total citations
56 papers, 853 citations indexed

About

Mao Tan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Mao Tan has authored 56 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 15 papers in Control and Systems Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Mao Tan's work include Smart Grid Energy Management (25 papers), Energy Load and Power Forecasting (15 papers) and Electric Vehicles and Infrastructure (8 papers). Mao Tan is often cited by papers focused on Smart Grid Energy Management (25 papers), Energy Load and Power Forecasting (15 papers) and Electric Vehicles and Infrastructure (8 papers). Mao Tan collaborates with scholars based in China, United Kingdom and Singapore. Mao Tan's co-authors include Yongxin Su, Ling Wang, Shuaihu Li, Hui Li, Feng He, Rui Wang, Jie Chen, Bin Duan, Chenglin Hu and Zhengmao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geochimica et Cosmochimica Acta and Journal of Cleaner Production.

In The Last Decade

Mao Tan

51 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao Tan China 15 623 172 149 103 99 56 853
Yongxin Su China 13 537 0.9× 151 0.9× 94 0.6× 85 0.8× 84 0.8× 46 848
Mohsen Mohammadi Iran 8 577 0.9× 204 1.2× 153 1.0× 58 0.6× 77 0.8× 19 819
Mohamed Massaoudi Qatar 15 604 1.0× 197 1.1× 298 2.0× 105 1.0× 79 0.8× 40 937
Nalin Behari Dev Choudhury India 15 809 1.3× 282 1.6× 143 1.0× 132 1.3× 76 0.8× 79 942
Abdulaziz Almalaq Saudi Arabia 18 657 1.1× 258 1.5× 219 1.5× 64 0.6× 112 1.1× 37 939
Hamed H. Aly Canada 15 692 1.1× 173 1.0× 263 1.8× 104 1.0× 70 0.7× 78 901
Ariel Liebman Australia 14 667 1.1× 188 1.1× 112 0.8× 67 0.7× 208 2.1× 55 924
Mehdi Rafiei Denmark 15 520 0.8× 165 1.0× 100 0.7× 63 0.6× 29 0.3× 19 788
Noman Shabbir Estonia 15 541 0.9× 134 0.8× 141 0.9× 35 0.3× 56 0.6× 65 688

Countries citing papers authored by Mao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Tan. A scholar is included among the top collaborators of Mao Tan 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 Mao Tan. Mao Tan 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.
Tan, Mao, et al.. (2025). Massive Coordination of Distributed Energy Resources in VPP: A Mean Field RL-Based Bi-Level Optimization Approach. IEEE Transactions on Cybernetics. 55(3). 1332–1346. 4 indexed citations
2.
Tan, Mao, et al.. (2025). LFArc-PFE: A Series Arc Fault Detection Method Based on Low-Frequency Current Data and Perturbation Feature Extraction. IEEE Transactions on Instrumentation and Measurement. 74. 1–11. 2 indexed citations
3.
Tan, Mao, et al.. (2024). Multi-stage deep sorting strategy for retired batteries based on the clustering of static and dynamic features. Journal of Energy Storage. 99. 113387–113387. 4 indexed citations
4.
Su, Yongxin, et al.. (2024). Integrating few-shot personalized thermal comfort model and reinforcement learning for HVAC demand response optimization. Journal of Building Engineering. 91. 109509–109509. 12 indexed citations
5.
Xie, Huan, et al.. (2024). Formation mechanisms of Fe-dominated versus Fe polymetallic deposits in the West Tianshan, NW China: A magnetite perspective. Ore Geology Reviews. 170. 106111–106111. 2 indexed citations
6.
Tan, Mao, Xiaowen Huang, Yu-Miao Meng, & Liang Qi. (2024). Distribution and enrichment mechanism of rhenium in sediment-hosted stratiform copper deposits: A case study from the Tangdan deposit, SW China. Ore Geology Reviews. 175. 106342–106342.
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Su, Yongxin, Tao Zhang, Mengyao Xu, et al.. (2023). Rough knowledge enhanced dueling deep Q-network for household integrated demand response optimization. Sustainable Cities and Society. 101. 105065–105065. 7 indexed citations
10.
Tan, Mao, et al.. (2023). Trace Element Composition of Molybdenite: Deposit Type Discrimination and Limitations. Minerals. 13(1). 114–114. 8 indexed citations
11.
Xiao, Jun, et al.. (2023). Nonintrusive Load Identification Considering Unknown Load Based on Bimodal Fusion and One-Class Classification. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 4 indexed citations
12.
Tan, Mao, et al.. (2023). Fair and Efficient Electric Vehicle Charging Scheduling Optimization Considering the Maximum Individual Waiting Time and Operating Cost. IEEE Transactions on Vehicular Technology. 72(8). 9808–9820. 34 indexed citations
13.
Wang, Lulu, et al.. (2022). Multi-task learning based multi-energy load prediction in integrated energy system. Applied Intelligence. 53(9). 10273–10289. 27 indexed citations
14.
Tan, Mao, et al.. (2022). Multi-node load forecasting based on multi-task learning with modal feature extraction. Engineering Applications of Artificial Intelligence. 112. 104856–104856. 53 indexed citations
15.
Tan, Mao, Yuqing Zhou, Ling Wang, et al.. (2021). Fair-efficient energy trading for microgrid cluster in an active distribution network. Sustainable Energy Grids and Networks. 26. 100453–100453. 24 indexed citations
16.
Wang, Lulu, et al.. (2021). A Multistep Prediction of Hydropower Station Inflow Based on Bagging-LSTM Model. Discrete Dynamics in Nature and Society. 2021. 1–12. 1 indexed citations
17.
Wang, Rui, Mao Tan, Guohua Wu, et al.. (2020). Preference-inspired coevolutionary algorithm with active diversity strategy for multi-objective multi-modal optimization. Information Sciences. 546. 1148–1165. 36 indexed citations
18.
Tan, Mao, et al.. (2019). Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning. IEEE Transactions on Power Systems. 35(4). 2937–2948. 240 indexed citations
19.
Tan, Mao, et al.. (2019). Genetic algorithms with greedy strategy for green batch scheduling on non-identical parallel machines. Memetic Computing. 11(4). 439–452. 18 indexed citations
20.
Tan, Mao, et al.. (2017). A learning-based approach to text image retrieval: using CNN features and improved similarity metrics. arXiv (Cornell University). 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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