Fangyuan Xu

583 citations
36 papers · 395 indexed · h-index 11
Topics
Smart Grid Energy Management (10 papers)Energy Load and Power Forecasting (8 papers)Power Systems and Renewable Energy (5 papers)
Partner nations
ChinaUnited KingdomJapan

In The Last Decade

Fangyuan Xu

32 papers receiving 385 citations

Peers

Fangyuan Xu
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 231
  • Control and Systems Engineering 128
  • Automotive Engineering 102
  • Artificial Intelligence 67
  • Computer Vision and Pattern Recognition 43
Replace Muhammad Faisal Nadeem Khan with:
Muhammad Faisal Nadeem Khan Pakistan
Daisy Flora Selvaraj United States
Jinqiang Liu China
Ayman Aljarbouh Kyrgyzstan
Kishor V. Bhadane India
R. Mahalakshmi India
Xin Jianbo China
Zhangyu Lu China
Mohsin Shahzad Pakistan
Yongpeng Shen China
Fangyuan Xu relative to Muhammad Faisal Nadeem Khan Pakistan Muhammad Faisal Nadeem Khan's profile →
Citations per field
00.5×2.8×
Muhammad Faisal Nadeem Khan · 1×
Citations per year

Countries citing papers authored by Fangyuan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Fangyuan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyuan Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyuan Xu. A scholar is included among the top collaborators of Fangyuan Xu 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 Fangyuan Xu. Fangyuan Xu 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 7
2 1
3 0
4 0
5 0
6 20
7 6
8 16
9 8
10 4
11 43
12 1
13 1
14 23
15 12
16 54
17 8
18 34
19 53
20 3

About Fangyuan Xu

Fangyuan Xu is a scholar working on Energy Engineering and Power Technology, Automotive Engineering and Control and Systems Engineering, having authored 36 papers that have together received 395 indexed citations. Recurring topics across this work include Smart Grid Energy Management (10 papers), Energy Load and Power Forecasting (8 papers) and Power Systems and Renewable Energy (5 papers). The work is most often cited by research in Automotive Engineering (102 citations), Energy Engineering and Power Technology (25 citations) and Control and Systems Engineering (128 citations). Fangyuan Xu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Haoliang Yuan, Loi Lei Lai, Long Zhou, Li Tang, Yan‐Jun Liu, Yifei Wang, Sizhe Chen, Ling Yang, Chun Sing Lai and Xuecong Li. Their work appears in journals such as Automatica, Applied Energy 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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