Hai Guo

1.0k total citations
70 papers, 782 citations indexed

About

Hai Guo is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hai Guo has authored 70 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 21 papers in Control and Systems Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hai Guo's work include Electric Motor Design and Analysis (15 papers), Handwritten Text Recognition Techniques (13 papers) and Image Processing and 3D Reconstruction (12 papers). Hai Guo is often cited by papers focused on Electric Motor Design and Analysis (15 papers), Handwritten Text Recognition Techniques (13 papers) and Image Processing and 3D Reconstruction (12 papers). Hai Guo collaborates with scholars based in China, Japan and Italy. Hai Guo's co-authors include Hao Luo, Jing Zhou, Jiamu Cao, Jinghua Yin, Xiaoxu Liu, O. Ichinokura, Likun Wang, Tianyi Ji, Zexiang Shen and Hongfei Lin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Chemical Physics Letters and Expert Systems with Applications.

In The Last Decade

Hai Guo

63 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Guo China 12 380 235 138 118 109 70 782
Mumtaj Begam Malaysia 15 389 1.0× 80 0.3× 85 0.6× 98 0.8× 64 0.6× 54 678
S. Muralidharan India 15 266 0.7× 224 1.0× 72 0.5× 81 0.7× 34 0.3× 57 784
Shengnan Li China 17 691 1.8× 144 0.6× 62 0.4× 168 1.4× 148 1.4× 87 1.1k
Jian‐Hong Liu China 20 843 2.2× 158 0.7× 94 0.7× 265 2.2× 181 1.7× 123 1.4k
Mengfei Wang China 14 387 1.0× 318 1.4× 72 0.5× 27 0.2× 107 1.0× 75 1.1k
Zhiliang Wu China 18 391 1.0× 250 1.1× 99 0.7× 76 0.6× 57 0.5× 52 901
Lei Yan China 22 399 1.1× 233 1.0× 101 0.7× 259 2.2× 190 1.7× 68 1.2k
Jin Deng China 11 319 0.8× 152 0.6× 99 0.7× 326 2.8× 184 1.7× 27 830
Chenxu Luo China 17 516 1.4× 104 0.4× 134 1.0× 38 0.3× 125 1.1× 51 1.3k
Jin-Hyung Park South Korea 15 292 0.8× 225 1.0× 57 0.4× 28 0.2× 78 0.7× 72 842

Countries citing papers authored by Hai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Hai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Guo. A scholar is included among the top collaborators of Hai Guo 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 Hai Guo. Hai Guo 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.
Guo, Hai, et al.. (2025). Predicting Eddy current losses in large generator rotor using data-driven short connection deep Gaussian process. Engineering Applications of Artificial Intelligence. 158. 111212–111212. 1 indexed citations
2.
Wan, Hao, et al.. (2024). MT-MVSNet: A lightweight and highly accurate convolutional neural network based on mobile transformer for 3D reconstruction of orchard fruit tree branches. Expert Systems with Applications. 268. 126220–126220. 1 indexed citations
3.
Guo, Hai, et al.. (2023). Script identification of ancient books by Chinese ethnic minorities using multi-branch DCNN and SPP. Pattern Analysis and Applications. 26(2). 809–821. 1 indexed citations
4.
Wang, Likun, et al.. (2023). Forecasting the eddy current loss of a large turbo generator using hybrid ensemble Gaussian process regression. Engineering Applications of Artificial Intelligence. 121. 106022–106022. 10 indexed citations
5.
Guo, Hai, et al.. (2021). H ∞ control for switched non-linear systems with structural uncertainty by using robust passivity. Nonlinear Analysis Hybrid Systems. 40. 101017–101017. 3 indexed citations
6.
Guo, Hai, et al.. (2021). Offline Printed Tai Le Character Recognition Using VGGNET. 61. 117–121. 1 indexed citations
7.
Liu, Xiaoxu, Tianyi Ji, Hai Guo, et al.. (2021). Effects of Crystallinity and Defects of Layered Carbon Materials on Potassium Storage: A Review and Prediction. Electrochemical Energy Reviews. 5(2). 401–433. 96 indexed citations
8.
Guo, Hai, et al.. (2021). Tai Le Character Recognition Using Deep Convolution Neural Networks. 521. 6–9. 2 indexed citations
9.
Guo, Hai, et al.. (2020). Finite‐element analysis combined with an ensemble Gaussian process regression to predict the damper eddy current losses in a large turbo‐generator. IET Science Measurement & Technology. 14(4). 446–453. 2 indexed citations
10.
Guo, Hai, et al.. (2020). Predicting Temperature of Permanent Magnet Synchronous Motor Based on Deep Neural Network. Energies. 13(18). 4782–4782. 36 indexed citations
11.
Guo, Hai, et al.. (2019). A BP Neural Network Modeling Method Based on Global Error for the Hysteresis of Piezoelectric Actuator. IOP Conference Series Materials Science and Engineering. 585(1). 12070–12070.
12.
Guo, Hai, et al.. (2011). Research on identification and classification of texture based on MATLAB. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8335. 833522–833522. 1 indexed citations
13.
Guo, Hai, et al.. (2010). Preprocessing Method for NaXi Pictographs Character Recognition Using Wavelet Transform. International Journal of Digital Content Technology and its Applications. 4(3). 117–131. 7 indexed citations
14.
Guo, Hai, et al.. (2009). Web-Based Cooperative Learning and Application Solution Research. 2636. 377–381. 2 indexed citations
15.
Guo, Hai, et al.. (2009). Speckle Reduction via Wavelet Shrinkage with Application to SAR based ATD/R. 11 indexed citations
16.
Goto, Hiroki, et al.. (2006). A Simple Method to Reduce Torque Ripple of SR Motor Using Freewheeling Mode. 2006 12th International Power Electronics and Motion Control Conference. 1047–1051. 1 indexed citations
17.
Sasaki, K., et al.. (2005). Reduction of Torque Ripple in a SRM through Direct Torque Control. Journal of the Magnetics Society of Japan. 29(5). 577–581. 4 indexed citations
18.
Goto, Hiroki, et al.. (2004). Excitation Methods for SRM Based on Electric- and Magnetic-Coupled Analysis. Journal of the Magnetics Society of Japan. 28(4). 627–631. 1 indexed citations
19.
Suzuki, T., et al.. (2001). Considerations on the Application of Switched Reluctance Motors to Electric Vehicles.. Journal of the Magnetics Society of Japan. 25(4−2). 1211–1214. 5 indexed citations
20.
Nakamura, Wataru, et al.. (2001). Iron Loss of a Switched Reluctance Motor.. Journal of the Magnetics Society of Japan. 25(4−2). 1207–1210. 1 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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