Fengzhang Luo

65 papers receiving 726 citations

Hit Papers

An Online Reinforcement Learning-Based Energy Management ...2024202620252024255075

Peers

Fengzhang Luo
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 610
  • Control and Systems Engineering 301
  • Safety, Risk, Reliability and Quality 161
  • Energy Engineering and Power Technology 99
  • Automotive Engineering 67
Replace Payam Teimourzadeh Baboli with:
Payam Teimourzadeh Baboli Iran
Mehrdad Setayesh Nazar Iran
Ignacio Hernando‐Gil United Kingdom
Ahmad Nikoobakht Iran
Gian Giuseppe Soma Italy
Alzenira da Rosa Abaide Brazil
Cristian Bovo Italy
Giuditta Pisano Italy
Muhammad Murtadha Othman Malaysia
Donghan Feng China
Fengzhang Luo relative to Payam Teimourzadeh Baboli Iran Payam Teimourzadeh Baboli's profile →
Citations per field
00.5×3.0×
Payam Teimourzadeh Baboli · 1×
Citations per year

Countries citing papers authored by Fengzhang Luo

Since Specialization
Citations

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

Fields of papers citing papers by Fengzhang Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengzhang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Fengzhang Luo. A scholar is included among the top collaborators of Fengzhang Luo 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 Fengzhang Luo. Fengzhang Luo 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
#WorkIndexed citations
1 0
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3 2
4 0
5 1
6 52
7
An Online Reinforcement Learning-Based Energy Management Strategy for Microgrids With Centralized Controlbreakdown →
82
8 48
9 0
10 3
11 50
12 2
13 20
14 3
15 3
16 35
17 48
18 6
19
Distribution Network Planning Based on Interval Algorithm and Paradigm Learning
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20
Exploration on the methods of weight calculation in the interval-based AHP
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About Fengzhang Luo

Fengzhang Luo is a scholar working on Energy Engineering and Power Technology, Safety, Risk, Reliability and Quality and Electrical and Electronic Engineering, having authored 74 papers that have together received 751 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (24 papers), Smart Grid and Power Systems (22 papers) and Smart Grid Energy Management (21 papers). The work is most often cited by research in Energy Engineering and Power Technology (99 citations), Safety, Risk, Reliability and Quality (161 citations) and Control and Systems Engineering (301 citations). Fengzhang Luo has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Chengshan Wang, Jun Xiao, Qinglin Meng, Sheharyar Hussain, Zhongguan Wang, Xiaolong Jin, Liangzhong Yao, Fangxing Li, Peng Li and Yanzhang Liu. Their work appears in journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Access.

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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