Shunfan He

676 total citations
22 papers, 531 citations indexed

About

Shunfan He is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shunfan He has authored 22 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 9 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shunfan He's work include Power Quality and Harmonics (6 papers), Blind Source Separation Techniques (4 papers) and Advanced Electrical Measurement Techniques (4 papers). Shunfan He is often cited by papers focused on Power Quality and Harmonics (6 papers), Blind Source Separation Techniques (4 papers) and Advanced Electrical Measurement Techniques (4 papers). Shunfan He collaborates with scholars based in China, Norway and Chile. Shunfan He's co-authors include Kaicheng Li, Ming Zhang, Sun Mao, Jinsong Wu, Chen Chen, Feng Ding, Zhuang Chen, Lanlan Chen, Wei Tian and Dapeng Lan and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Industrial Informatics.

In The Last Decade

Shunfan He

21 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunfan He China 10 318 184 163 110 63 22 531
Anirban Ghosh India 11 212 0.7× 111 0.6× 140 0.9× 43 0.4× 55 0.9× 51 465
Chaorui Zhang China 12 506 1.6× 107 0.6× 304 1.9× 58 0.5× 77 1.2× 36 679
David López-Pérez France 10 416 1.3× 264 1.4× 97 0.6× 114 1.0× 27 0.4× 23 644
Mohamed Mokhtar Egypt 17 723 2.3× 194 1.1× 379 2.3× 80 0.7× 77 1.2× 83 975
Saeid Iranmanesh Australia 14 162 0.5× 226 1.2× 32 0.2× 250 2.3× 35 0.6× 32 525
Khairun Nidzam Ramli Malaysia 13 462 1.5× 175 1.0× 30 0.2× 168 1.5× 19 0.3× 64 614
Mario H. Castañeda García Germany 8 572 1.8× 251 1.4× 79 0.5× 113 1.0× 21 0.3× 17 705
Fuqiang Li China 15 289 0.9× 401 2.2× 588 3.6× 40 0.4× 18 0.3× 70 860
Wen Ouyang Taiwan 11 413 1.3× 73 0.4× 221 1.4× 40 0.4× 43 0.7× 55 604

Countries citing papers authored by Shunfan He

Since Specialization
Citations

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

Fields of papers citing papers by Shunfan He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunfan He

This figure shows the co-authorship network connecting the top 25 collaborators of Shunfan He. A scholar is included among the top collaborators of Shunfan He 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 Shunfan He. Shunfan He 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.
He, Shunfan, et al.. (2024). Online Compression of Multichannel Power Waveform Data in Distribution Grid With Novel Tensor Method. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 1 indexed citations
2.
Li, You, et al.. (2023). Open Circuit Fault Detection of T-Type Grid Connected Inverters Using Fast S Transform and Random Forest. Entropy. 25(5). 778–778. 5 indexed citations
3.
He, Shunfan, Wei Tian, Rongbo Zhu, Yan Zhang, & Sun Mao. (2022). Electrical Signature Analysis for Open-Circuit Faults Detection of Inverter With Various Disturbances in Distribution Grid. IEEE Transactions on Industrial Informatics. 19(7). 8351–8361. 7 indexed citations
4.
Zhang, Ming, et al.. (2021). Research on Harmonic Detection Method Based on Wavelet Neural Network with a New Structure. 40. 316–319. 1 indexed citations
5.
Chen, Chen, Lanlan Chen, Lei Liu, et al.. (2020). Delay-Optimized V2V-Based Computation Offloading in Urban Vehicular Edge Computing and Networks. IEEE Access. 8. 18863–18873. 87 indexed citations
6.
He, Shunfan, et al.. (2020). Uncertainty Principle and Power Quality Sensing and Analysis in Smart Substation. Sensors. 20(15). 4281–4281. 1 indexed citations
7.
Mao, Sun, Shunfan He, & Jinsong Wu. (2020). Joint UAV Position Optimization and Resource Scheduling in Space-Air-Ground Integrated Networks With Mixed Cloud-Edge Computing. IEEE Systems Journal. 15(3). 3992–4002. 131 indexed citations
8.
He, Shunfan, Yan Zhang, Rongbo Zhu, & Wei Tian. (2020). Electric Signature Detection and Analysis for Power Equipment Failure Monitoring in Smart Grid. IEEE Transactions on Industrial Informatics. 17(6). 3739–3750. 21 indexed citations
9.
10.
Ding, Feng, Jian Huang, Wei Yao, & Shunfan He. (2018). Anti-swing Control in Manipulation of a Deformable Linear Object using Dynamic Surface Control. 75. 503–508. 5 indexed citations
11.
Liu, Kaipei, et al.. (2018). Active power decoupling and controlling for single‐phase FACTS device. The Journal of Engineering. 2019(16). 1333–1337. 5 indexed citations
12.
He, Shunfan, et al.. (2018). A High Efficient Approach for Power Disturbance Waveform Compression in the View of Heisenberg Uncertainty. IEEE Transactions on Industrial Informatics. 15(5). 2580–2591. 20 indexed citations
13.
Li, Qin, Ming Zhang, Shunfan He, & Shaowu Li. (2018). Instructions Data Compression for Smart Grid Monitoring using Wavelet Domain Singular Value Decomposition. 12. 5171–5175. 5 indexed citations
14.
Li, Kaicheng, et al.. (2018). A highly accurate and fast power quality disturbances classification based on dictionary learning sparse decomposition. Transactions of the Institute of Measurement and Control. 41(1). 145–155. 9 indexed citations
15.
Zhang, Ming, et al.. (2017). Power Quality Data Compression Based on Iterative PCA Algorithm in Smart Distribution Systems. Smart Grid and Renewable Energy. 8(12). 366–378. 4 indexed citations
16.
Ding, Feng, et al.. (2017). Sliding mode control with an extended disturbance observer for a class of underactuated system in cascaded form. Nonlinear Dynamics. 90(4). 2571–2582. 45 indexed citations
17.
He, Shunfan, et al.. (2015). A Parameterization Power Data Compress Using Strong Trace Filter and Dynamics. IEEE Transactions on Instrumentation and Measurement. 64(10). 2636–2645. 11 indexed citations
18.
Zhang, Ming, Kaicheng Li, Shunfan He, & Jun Wang. (2014). DESIGN AND TEST OF A NEW HIGH-CURRENT ELECTRONIC CURRENT TRANSFORMER WITH A ROGOWSKI COIL. Metrology and Measurement Systems. 21(1). 121–132. 8 indexed citations
19.
He, Shunfan, Kaicheng Li, & Ming Zhang. (2014). A New Transient Power Quality Disturbances Detection Using Strong Trace Filter. IEEE Transactions on Instrumentation and Measurement. 63(12). 2863–2871. 23 indexed citations
20.
Zhang, Ming, Kaicheng Li, Jun Wang, & Shunfan He. (2014). An On-Site Calibration System for Electronic Instrument Transformers Based on Labview. Metrology and Measurement Systems. 21(2). 257–270. 9 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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