Bin Hu

2.6k citations
113 papers · 1.8k · h-index 22

Impact in

Papers in

Bin Hu

103 papers receiving 1.8k citations

Peers

Bin Hu
Comparison fields: 5 of 140
  • Energy Engineering and Power Technology 283
  • Control and Systems Engineering 812
  • Electrical and Electronic Engineering 917
  • Modeling and Simulation 38
  • Computational Theory and Mathematics 110
Replace Anurag Singh with:
Anurag Singh India
Yanjun Li China
Mohamed Sharaf Saudi Arabia
Hussein Mohammed Ridha Malaysia
Muhammad Umair Ali South Korea
Chengxi Liu China
Shabana Urooj India
Bo Zeng China
Leijiao Ge China
Tahir Khurshaid South Korea
Bin Hu relative to Anurag Singh India Anurag Singh's profile →
Citations per field
00.5×6.3×
Anurag Singh · 1×
Citations per year

Countries citing papers authored by Bin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Hu Line = papers co-authored together Bin Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010258
2 2020128
3 201795
4 201492
5 202088
6 200980
7 202150
8 202048
9
EEG Based Emotion Identification Using Unsupervised Deep Feature Learning
201548
10 202145
11 201143
12 202242
13 201640
14 202036
15 201734
16 202030
17 202030
18 202229
19 201727
20 200125

About Bin Hu

Bin Hu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Mechanical Engineering and Mechanics of Materials, having authored 113 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (32 papers), Power Systems and Renewable Energy (22 papers), Wind Turbine Control Systems (14 papers), HVDC Systems and Fault Protection (11 papers), Fault Detection and Control Systems (9 papers), Islanding Detection in Power Systems (9 papers), High-Voltage Power Transmission Systems (6 papers) and EEG and Brain-Computer Interfaces (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (283 citations), Control and Systems Engineering (812 citations), Electrical and Electronic Engineering (917 citations), Modeling and Simulation (38 citations) and Computational Theory and Mathematics (110 citations). Bin Hu has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Heng Nian, Jiabing Hu, Yunyang Xu, Meng Li, Yikang He, Z. Q. Zhu, Xiaoqiang Sun, Frede Blaabjerg, Chao Wu and Yuming Liao. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics, IEEE Transactions on Energy Conversion, IEEE Access and IEEE Journal of Emerging and Selected Topics in Power Electronics.

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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