Hao Liang

6.8k total citations · 2 hit papers
139 papers, 5.2k citations indexed

About

Hao Liang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Hao Liang has authored 139 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Electrical and Electronic Engineering, 47 papers in Control and Systems Engineering and 45 papers in Computer Networks and Communications. Recurrent topics in Hao Liang's work include Smart Grid Energy Management (45 papers), Electric Vehicles and Infrastructure (29 papers) and Smart Grid Security and Resilience (27 papers). Hao Liang is often cited by papers focused on Smart Grid Energy Management (45 papers), Electric Vehicles and Infrastructure (29 papers) and Smart Grid Security and Resilience (27 papers). Hao Liang collaborates with scholars based in Canada, China and United States. Hao Liang's co-authors include Ruilong Deng, Weihua Zhuang, Peng Zhuang, Xuemin Shen, Rongxing Lu, Bong Jun Choi, Venkata Dinavahi, Chengzhe Lai, Tom H. Luan and Zhichao Shi and has published in prestigious journals such as Physical Review Letters, IEEE Transactions on Industrial Electronics and Applied Energy.

In The Last Decade

Hao Liang

133 papers receiving 5.1k citations

Hit Papers

Optimal Workload Allocati... 2016 2026 2019 2022 2016 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Liang Canada 39 3.5k 2.3k 1.8k 626 574 139 5.2k
Arif I. Sarwat United States 33 3.0k 0.9× 1.8k 0.8× 1.1k 0.6× 670 1.1× 570 1.0× 228 4.7k
S. M. Suhail Hussain India 41 3.4k 1.0× 3.3k 1.4× 606 0.3× 519 0.8× 451 0.8× 166 4.8k
Melike Erol‐Kantarci Canada 36 3.9k 1.1× 1.4k 0.6× 2.2k 1.2× 307 0.5× 439 0.8× 214 5.5k
Peter Pálenský Netherlands 31 4.5k 1.3× 3.3k 1.5× 715 0.4× 487 0.8× 356 0.6× 294 6.2k
Anurag K. Srivastava United States 44 5.6k 1.6× 4.8k 2.1× 986 0.5× 395 0.6× 748 1.3× 387 7.5k
Concettina Buccella Italy 23 4.3k 1.2× 2.9k 1.3× 832 0.5× 282 0.5× 245 0.4× 153 5.1k
Qiuye Sun China 35 3.3k 0.9× 3.2k 1.4× 863 0.5× 315 0.5× 415 0.7× 258 5.1k
Zhiyi Li China 47 4.8k 1.4× 3.4k 1.5× 751 0.4× 436 0.7× 226 0.4× 181 6.2k
Ferdinanda Ponci Germany 37 5.0k 1.4× 3.9k 1.7× 537 0.3× 426 0.7× 454 0.8× 312 6.4k
Yusheng Xue China 48 6.0k 1.7× 3.4k 1.5× 679 0.4× 1.0k 1.7× 461 0.8× 258 7.4k

Countries citing papers authored by Hao Liang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Liang. A scholar is included among the top collaborators of Hao Liang 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 Hao Liang. Hao Liang 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.
Liang, Hao, et al.. (2024). Dynamic microgrid formation for resilient distribution systems considering large-scale deployment of mobile energy resources. Applied Energy. 362. 122978–122978. 12 indexed citations
2.
Huo, Zhouyuan, et al.. (2024). Rapid detection of microplastics in chicken feed based on near infrared spectroscopy and machine learning algorithm. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 329. 125617–125617. 3 indexed citations
3.
Liang, Hao, et al.. (2024). Data-Driven Resilience Enhancement for Power Distribution Systems Against Multishocks of Earthquakes. IEEE Transactions on Industrial Informatics. 20(5). 7357–7369. 4 indexed citations
4.
Liu, Yuan & Hao Liang. (2022). A Data-Driven Approach for Electric Bus Energy Consumption Estimation. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17027–17038. 11 indexed citations
5.
Liu, Chensheng, Ruilong Deng, Wangli He, Hao Liang, & Wenli Du. (2021). Optimal Coding Schemes for Detecting False Data Injection Attacks in Power System State Estimation. IEEE Transactions on Smart Grid. 13(1). 738–749. 27 indexed citations
6.
7.
Liang, Hao, et al.. (2019). Vehicle Anti-Lock Braking System Control Algorithm Design and Experiment Verification. 221–223.
8.
Deng, Ruilong, Yuan Liu, Wenzhuo Chen, & Hao Liang. (2019). A Survey on Electric Buses—Energy Storage, Power Management, and Charging Scheduling. IEEE Transactions on Intelligent Transportation Systems. 22(1). 9–22. 67 indexed citations
9.
Liang, Hao, et al.. (2019). Effect of processing method on wax content in three vegetable oils.. Zhongguo youzhi. 44(5). 96–107. 2 indexed citations
10.
Zhuang, Peng, Ruilong Deng, & Hao Liang. (2019). False Data Injection Attacks Against State Estimation in Multiphase and Unbalanced Smart Distribution Systems. IEEE Transactions on Smart Grid. 10(6). 6000–6013. 88 indexed citations
11.
12.
Deng, Ruilong, Peng Zhuang, & Hao Liang. (2018). False Data Injection Attacks Against State Estimation in Power Distribution Systems. IEEE Transactions on Smart Grid. 10(3). 2871–2881. 177 indexed citations
13.
Deng, Ruilong & Hao Liang. (2018). False Data Injection Attacks With Limited Susceptance Information and New Countermeasures in Smart Grid. IEEE Transactions on Industrial Informatics. 15(3). 1619–1628. 84 indexed citations
14.
Liang, Hao, et al.. (2018). A Novel Node Selection Algorithm for Collaborative Beamforming in Wireless Sensor Networks. 345–349. 3 indexed citations
15.
Zhang, Fenghui, Ruilong Deng, & Hao Liang. (2018). An Optimal Real-Time Distributed Algorithm for Utility Maximization of Mobile Ad Hoc Cloud. IEEE Communications Letters. 22(4). 824–827. 12 indexed citations
16.
Liu, Yuan, Ruilong Deng, & Hao Liang. (2017). A Stochastic Game Approach for PEV Charging Station Operation in Smart Grid. IEEE Transactions on Industrial Informatics. 14(3). 969–979. 43 indexed citations
17.
Liu, Weirong, Peng Zhuang, Yuan Liu, et al.. (2017). Cooperative Neural Fitted Learning for Distributed Energy Management in Microgrids via Wireless Networks. 1–5. 2 indexed citations
18.
Liang, Hao, et al.. (2016). An Analytical Method for Probabilistic Modeling of the Steady-State Behavior of Secondary Residential System. IEEE Transactions on Smart Grid. 8(6). 2575–2584. 21 indexed citations
19.
Liang, Hao, et al.. (2013). A precise time measurement evaluation board for a radiography system of high-Z materials. 《核技术》(英文版). 23(5). 5 indexed citations
20.
Liang, Hao, et al.. (2006). Progress of the studies on the bioactive substances in the Stichopus japonicus. Zhongguo sheng-hua yaowu zazhi. 3 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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