Huadong Mo

1.5k total citations · 1 hit paper
70 papers, 968 citations indexed

About

Huadong Mo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Huadong Mo has authored 70 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Electrical and Electronic Engineering, 33 papers in Control and Systems Engineering and 14 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Huadong Mo's work include Smart Grid Energy Management (19 papers), Microgrid Control and Optimization (17 papers) and Advanced Battery Technologies Research (13 papers). Huadong Mo is often cited by papers focused on Smart Grid Energy Management (19 papers), Microgrid Control and Optimization (17 papers) and Advanced Battery Technologies Research (13 papers). Huadong Mo collaborates with scholars based in Australia, China and Hong Kong. Huadong Mo's co-authors include Min Xie, Daoyi Dong, Giovanni Sansavini, Moslem Uddin, Sondoss Elsawah, Josep M. Guerrero, Jianguo Zhu, Gregory Levitin, Jun Yang and Junlin Xiong and has published in prestigious journals such as Automatica, Applied Energy and European Journal of Operational Research.

In The Last Decade

Huadong Mo

56 papers receiving 931 citations

Hit Papers

Microgrids: A review, outstanding issues and future trends 2023 2026 2024 2025 2023 50 100 150
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. Microgrids: A review, outstanding issues and future trends
    2023 186 citations Moslem Uddin, Huadong Mo 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
Huadong Mo Australia 18 516 451 201 122 104 70 968
Nelson Kagan Brazil 19 1.0k 2.0× 494 1.1× 367 1.8× 40 0.3× 41 0.4× 136 1.3k
Sohrab Asgarpoor United States 18 924 1.8× 620 1.4× 745 3.7× 80 0.7× 47 0.5× 68 1.6k
Sachin Kumar India 16 531 1.0× 342 0.8× 131 0.7× 108 0.9× 46 0.4× 54 951
Wenxia Liu China 20 903 1.8× 619 1.4× 257 1.3× 94 0.8× 85 0.8× 133 1.3k
Yifei Wang China 20 658 1.3× 389 0.9× 171 0.9× 49 0.4× 47 0.5× 81 967
Yao Cheng United States 14 200 0.4× 217 0.5× 205 1.0× 43 0.4× 58 0.6× 61 662
Ali Azizivahed Australia 22 1.4k 2.7× 901 2.0× 154 0.8× 83 0.7× 87 0.8× 57 1.6k
Akshay Kumar Saha South Africa 20 1.1k 2.0× 743 1.6× 117 0.6× 133 1.1× 167 1.6× 144 1.4k
Kexing Lai United States 18 526 1.0× 375 0.8× 65 0.3× 167 1.4× 61 0.6× 33 718
Felician Campean United Kingdom 16 143 0.3× 235 0.5× 80 0.4× 78 0.6× 19 0.2× 87 730

Countries citing papers authored by Huadong Mo

Since Specialization
Citations

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

Fields of papers citing papers by Huadong Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huadong Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Huadong Mo. A scholar is included among the top collaborators of Huadong Mo 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 Huadong Mo. Huadong Mo 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.
Rana, Md Masud, Huadong Mo, GM Shafiullah, Li Qiao, & Daoyi Dong. (2025). Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network. IEEE Transactions on Industry Applications. 62(2). 2172–2185.
2.
Zhang, Zhibo, Hailing Zhou, Guo Chen, et al.. (2025). Battery SOH Prediction Under Different Conditions via MBLSTM and iTransformer With Anomaly Detection and Explainability. IEEE Open Journal of the Computer Society. 6. 1847–1857.
3.
4.
Mo, Huadong, et al.. (2025). Energy storage systems for carbon neutrality: Challenges and opportunities. Frontiers of Engineering Management. 12(2). 305–329. 1 indexed citations
5.
Xiao, Xun, et al.. (2025). TFTformer: A novel transformer based model for short-term load forecasting. International Journal of Electrical Power & Energy Systems. 166. 110549–110549. 9 indexed citations
6.
Pota, H. R., et al.. (2024). Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder. Ain Shams Engineering Journal. 15(10). 102972–102972.
7.
Xiao, Xun, et al.. (2024). A Selective Review on Information Criteria in Multiple Change Point Detection. Entropy. 26(1). 50–50. 2 indexed citations
8.
Mo, Huadong, Jian‐Zhang Wu, Lei Pan, et al.. (2024). A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting. Electronics. 13(14). 2719–2719. 19 indexed citations
9.
Yan, Yi‐Ming, et al.. (2024). Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties. 512–517. 3 indexed citations
10.
Mo, Huadong, et al.. (2024). State of Health Prediction for Battery Energy Storage Systems under Random Walk Operations. ANU Open Research (Australian National University). 8–14.
11.
12.
Wang, Chengjie, Jun Wu, Yifan Yang, Haiping Zhu, & Huadong Mo. (2024). Multi-scale self-attention feature decoupling transfer network-based cross-domain capacity prediction of lithium-ion batteries. Journal of Energy Storage. 103. 114286–114286. 1 indexed citations
13.
Mo, Huadong, et al.. (2024). Safe Optimal Control of Battery Energy Storage Systems via Hierarchical Deep Reinforcement Learning. ANU Open Research (Australian National University). 1–6.
14.
Uddin, Moslem, Huadong Mo, Daoyi Dong, & Sondoss Elsawah. (2023). Techno-economic potential of multi-energy community microgrid: The perspective of Australia. Renewable Energy. 219. 119544–119544. 24 indexed citations
15.
Hu, Qingpei, et al.. (2023). Remaining Useful Life Prediction of PV Systems Under Dynamic Environmental Conditions. IEEE Journal of Photovoltaics. 13(4). 590–602. 9 indexed citations
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Bouchekara, Houssem R. E. H., et al.. (2021). Optimization of electric spring operational strategy to minimize electricity bill. Electric Power Systems Research. 201. 107540–107540. 1 indexed citations
19.
Mo, Huadong & Giovanni Sansavini. (2020). Hidden Markov model-based smith predictor for the mitigation of the impact of communication delays in wide-area power systems. Applied Mathematical Modelling. 89. 19–48. 12 indexed citations
20.
Chakrabortty, Ripon K., Humyun Fuad Rahman, Huadong Mo, & Michael J. Ryan. (2019). Digital Twin-based Cyber Physical System for Sustainable Project Scheduling. UNSWorks (University of New South Wales, Sydney, Australia). 820–824. 7 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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