Qiangfu Zhao

1.8k total citations
191 papers, 1.2k citations indexed

About

Qiangfu Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Qiangfu Zhao has authored 191 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Computer Vision and Pattern Recognition, 93 papers in Artificial Intelligence and 20 papers in Information Systems. Recurrent topics in Qiangfu Zhao's work include Neural Networks and Applications (47 papers), Face and Expression Recognition (41 papers) and Advanced Neural Network Applications (16 papers). Qiangfu Zhao is often cited by papers focused on Neural Networks and Applications (47 papers), Face and Expression Recognition (41 papers) and Advanced Neural Network Applications (16 papers). Qiangfu Zhao collaborates with scholars based in Japan, Taiwan and China. Qiangfu Zhao's co-authors include Hazem M. El‐Bakry, Xin Yao, T. Higuchi, Cheng‐Hsiung Hsieh, Takahiro Higuchi, Rung-Ching Chen, Jia Hao, Yong Liu, Yan Yan and Yoichi Tomioka and has published in prestigious journals such as IEEE Access, Sensors and International Journal of Biological Macromolecules.

In The Last Decade

Qiangfu Zhao

171 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiangfu Zhao Japan 15 634 435 181 153 134 191 1.2k
Junhai Zhai China 20 943 1.5× 331 0.8× 234 1.3× 83 0.5× 203 1.5× 98 1.4k
Sheng-Uei Guan China 20 640 1.0× 326 0.7× 181 1.0× 58 0.4× 139 1.0× 117 1.2k
Xiao Luo China 23 784 1.2× 471 1.1× 94 0.5× 90 0.6× 65 0.5× 129 1.6k
Jie Hu China 21 520 0.8× 518 1.2× 218 1.2× 109 0.7× 49 0.4× 99 1.2k
Qinbao Song China 20 1.1k 1.7× 403 0.9× 78 0.4× 136 0.9× 143 1.1× 53 1.7k
Helmi Md Rais Malaysia 11 620 1.0× 199 0.5× 168 0.9× 191 1.2× 95 0.7× 32 1.2k
Lingfeng Niu China 16 711 1.1× 447 1.0× 69 0.4× 73 0.5× 63 0.5× 82 1.2k
Mohammed Alweshah Jordan 20 721 1.1× 183 0.4× 103 0.6× 114 0.7× 132 1.0× 57 1.3k
Jasni Mohamad Zain Malaysia 23 426 0.7× 796 1.8× 156 0.9× 254 1.7× 125 0.9× 151 1.9k
Liang Bai China 22 1.1k 1.7× 477 1.1× 157 0.9× 237 1.5× 94 0.7× 100 1.6k

Countries citing papers authored by Qiangfu Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Qiangfu Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiangfu Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Qiangfu Zhao. A scholar is included among the top collaborators of Qiangfu Zhao 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 Qiangfu Zhao. Qiangfu Zhao 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.
2.
Liu, Yong, et al.. (2024). Generalized Loss-Based CNN-BiLSTM for Stock Market Prediction. International Journal of Financial Studies. 12(3). 61–61. 1 indexed citations
3.
Liu, Yong, et al.. (2024). Improved LightGBM for Extremely Imbalanced Data and Application to Credit Card Fraud Detection. IEEE Access. 12. 159316–159335. 7 indexed citations
4.
Cheng, Tao-Ming, et al.. (2023). iCAST 2023 Organizing Committees. IV–V. 1 indexed citations
5.
Lyu, Y. F., Yong Liu, & Qiangfu Zhao. (2023). Maintain a Better Balance between Performance and Cost for Image Captioning by a Size-Adjustable Convolutional Module. Electronics. 12(14). 3187–3187.
6.
Li, Menglei, et al.. (2023). 4s-SleepGCN: Four-Stream Graph Convolutional Networks for Sleep Stage Classification. IEEE Access. 11. 70621–70634. 3 indexed citations
7.
Liu, Yong, et al.. (2023). Cost Harmonization LightGBM-Based Stock Market Prediction. IEEE Access. 11. 105009–105026. 9 indexed citations
8.
Lin, Yu‐Ling, Qiangfu Zhao, & Shih‐Cheng Horng. (2022). Machine Learning-Based Approach for Automatic Ion Implanter Monitoring. 1–6. 2 indexed citations
9.
Zhao, Qiangfu, et al.. (2021). CMNN: Coupled Modular Neural Network. IEEE Access. 9. 93871–93891. 1 indexed citations
10.
Su, Kai, et al.. (2020). MS-NET: modular selective network. International Journal of Machine Learning and Cybernetics. 12(3). 763–781. 4 indexed citations
11.
Liu, Yong, Qiangfu Zhao, & Yan Pei. (2014). Control of correlation in negative correlation learning. 7–11.
12.
Zhao, Qiangfu, et al.. (2008). Face Recognition Based on Minor Components of the Within-Class Scatter Matrix. 2008. 1078–1083. 3 indexed citations
13.
Yang, Lüxi, et al.. (2006). A novel intrusion detection mode based on understandable neural network trees. Journal of Electronics (China). 23(4). 574–579. 3 indexed citations
14.
El‐Bakry, Hazem M. & Qiangfu Zhao. (2005). Fast Pattern Detection Using Neural Networks Realized in Frequency Domain.. Sexually Transmitted Infections. 79(5). 89–92. 22 indexed citations
15.
El‐Bakry, Hazem M. & Qiangfu Zhao. (2005). Speeding-up normalized neural networks for face/object detection. 14(1). 29–59. 32 indexed citations
16.
Lv, Chao & Qiangfu Zhao. (2005). A Simplified MPC for Image Compression. 580–585. 3 indexed citations
17.
Zhao, Qiangfu, et al.. (2003). Growing neural network trees efficiently and effectively. 107–115. 6 indexed citations
18.
Zhao, Qiangfu, et al.. (2003). An Efficient Method for Evolving Important Training Data. 103(392). 7–11.
19.
Zhao, Qiangfu, et al.. (2000). A study on efficient generation of decision trees using genetic programming. Genetic and Evolutionary Computation Conference. 1047–1052. 14 indexed citations
20.
Zhao, Qiangfu & Takahiro Higuchi. (1996). Evolutionary learning of nearest-neighbor MLP. IEEE Transactions on Neural Networks. 7(3). 762–767. 34 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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