Hong Liu

3.2k total citations · 1 hit paper
148 papers, 2.4k citations indexed

About

Hong Liu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hong Liu has authored 148 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Electrical and Electronic Engineering, 53 papers in Control and Systems Engineering and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hong Liu's work include Smart Grid Energy Management (21 papers), Optimal Power Flow Distribution (17 papers) and Electric Vehicles and Infrastructure (15 papers). Hong Liu is often cited by papers focused on Smart Grid Energy Management (21 papers), Optimal Power Flow Distribution (17 papers) and Electric Vehicles and Infrastructure (15 papers). Hong Liu collaborates with scholars based in China, United States and United Kingdom. Hong Liu's co-authors include Min Ouyang, Shaoyun Ge, Huansheng Ning, Qi Li, Weirong Chen, Yan Zhang, Yuchen Pu, Zijun Mao, Chenghong Gu and Fei Qi and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and International Journal of Hydrogen Energy.

In The Last Decade

Hong Liu

133 papers receiving 2.3k citations

Hit Papers

Hierarchical optimal scheduling method for regional integ... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Liu China 28 1.1k 696 435 329 247 148 2.4k
Pradeep Jangir India 37 1.7k 1.6× 833 1.2× 369 0.8× 172 0.5× 152 0.6× 182 4.5k
Zheng Yan China 33 2.5k 2.3× 1.1k 1.6× 278 0.6× 269 0.8× 230 0.9× 248 3.6k
Jun Yan Canada 32 1.9k 1.7× 2.6k 3.8× 388 0.9× 361 1.1× 126 0.5× 140 4.2k
Siddhartha Kumar Khaitan United States 17 523 0.5× 471 0.7× 599 1.4× 54 0.2× 154 0.6× 49 2.2k
Zhenzhi Lin China 36 3.2k 2.9× 1.5k 2.2× 183 0.4× 149 0.5× 349 1.4× 214 3.9k
Wenyin Gong China 49 1.2k 1.1× 800 1.1× 317 0.7× 168 0.5× 88 0.4× 203 7.2k
Zhile Yang China 39 2.6k 2.4× 878 1.3× 187 0.4× 1.3k 4.0× 172 0.7× 185 4.9k
Xiaofang Yuan China 30 1.1k 1.0× 1.0k 1.5× 110 0.3× 739 2.2× 81 0.3× 155 3.3k
Nirmal‐Kumar C. Nair New Zealand 27 2.3k 2.0× 1.2k 1.7× 102 0.2× 316 1.0× 281 1.1× 212 3.2k
Zhinong Wei China 40 3.8k 3.5× 1.2k 1.7× 131 0.3× 291 0.9× 429 1.7× 201 4.8k

Countries citing papers authored by Hong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Liu. A scholar is included among the top collaborators of Hong Liu 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 Hong Liu. Hong Liu 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.
Li, Junkai, Shaoyun Ge, Hong Liu, et al.. (2024). A network-secure two-stage framework for hierarchical energy management of EVs, charging stations, and distribution network. Applied Energy. 371. 123139–123139. 7 indexed citations
2.
Zhang, Xihai, Shaoyun Ge, Yue Zhou, & Hong Liu. (2024). Deep Learning Framework for Low-Observable Distribution System State Estimation With Multitimescale Measurements. IEEE Transactions on Industrial Informatics. 20(11). 13273–13283.
3.
Liu, Hong. (2023). Research on the Symbiotic Evolution of Subjects in Emerging Technology Innovation Ecosystem. Frontiers in Business Economics and Management. 8(1). 56–61.
4.
Li, Junkai, et al.. (2023). Distribution locational pricing mechanisms for flexible interconnected distribution system with variable renewable energy generation. Applied Energy. 335. 120476–120476. 4 indexed citations
5.
Liu, Hong, et al.. (2023). A review of uncertainty quantification and its applications in numerical simulation of scramjet combustor. International Journal of Thermofluids. 18. 100351–100351. 4 indexed citations
6.
Li, Junkai, et al.. (2022). A Wasserstein Distributionally Robust Planning Model for Renewable Sources and Energy Storage Systems Under Multiple Uncertainties. IEEE Transactions on Sustainable Energy. 14(3). 1346–1356. 34 indexed citations
7.
Tan, Xiaoqing, et al.. (2021). Deep Learning‐Assisted Visualized Fluorometric Sensor Array for Biogenic Amines Detection. Chinese Journal of Chemistry. 40(5). 609–616. 18 indexed citations
8.
Zhao, Pengfei, et al.. (2020). Cyber-Resilience Enhancement and Protection for Uneconomic Power Dispatch Under Cyber-Attacks. IEEE Transactions on Power Delivery. 36(4). 2253–2263. 21 indexed citations
9.
Xiao, Yong, et al.. (2020). Reliability Evaluation Method for Regional Integrated Energy System Applying Complex Network Theory. Electric Power Construction. 41(4). 1. 2 indexed citations
10.
Zhao, Pengfei, Xi Lu, Zhidong Cao, et al.. (2020). Volt-VAR-Pressure Optimization of Integrated Energy Systems With Hydrogen Injection. IEEE Transactions on Power Systems. 36(3). 2403–2415. 29 indexed citations
11.
Liu, Hong, Chenyang Zhao, Wěipéng Huáng, & Wei Shi. (2018). An End-To-End Siamese Convolutional Neural Network for Loop Closure Detection in Visual Slam System. 3121–3125. 7 indexed citations
12.
Liu, Hong, et al.. (2018). A Multi-Species Artificial Bee Colony Algorithm and Its Application for Crowd Simulation. IEEE Access. 7. 2549–2558. 12 indexed citations
13.
Zhang, Qiangqiang, Xin Li, Zhifeng Wang, Zhi Li, & Hong Liu. (2017). Function testing and failure analysis of control system for molten salt receiver system. Renewable Energy. 115. 260–268. 2 indexed citations
14.
Liu, Hong, Bin Hu, & Philip Moore. (2015). HCI Model with Learning Mechanism for Cooperative Design in Pervasive Computing Environment. 網際網路技術學刊. 16(2). 201–210. 5 indexed citations
15.
Liu, Hong, et al.. (2014). Research on the conical resonator of a bell vibratory gyroscope under axial impact. Journal of Vibroengineering. 16(4). 2054–2061. 1 indexed citations
16.
Xu, Bing, et al.. (2013). Review on Self-healing Control Technique in Smart Distribution Grid. 25(5). 65–70. 1 indexed citations
17.
Liu, Hong, et al.. (2011). Feasibility study for automatic calibration of transportation simulation models. Annual Simulation Symposium. 87–94. 3 indexed citations
18.
Liu, Hong. (2011). Reliability Evaluation of Distribution Systems Including Microgrids with Consideration of Feeder Capacity Constraint. Journal of Tianjin University Science and Technology. 1 indexed citations
19.
Yu, Tzuyang, Honggang Wang, & Hong Liu. (2011). Denoising of time domain responses in wireless sensor network for the structural health monitoring of transportation infrastructure. Annual Simulation Symposium. 183–187.
20.
Liu, Hong. (2005). A Preprocessing Algorithm for Meter Display Value Recognition. Jisuanji yingyong yanjiu. 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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