Qiang Wu

1.6k total citations
47 papers, 1.0k citations indexed

About

Qiang Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mathematics. According to data from OpenAlex, Qiang Wu has authored 47 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Mathematics. Recurrent topics in Qiang Wu's work include Tensor decomposition and applications (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Blind Source Separation Techniques (5 papers). Qiang Wu is often cited by papers focused on Tensor decomposition and applications (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Blind Source Separation Techniques (5 papers). Qiang Wu collaborates with scholars based in China, United States and United Kingdom. Qiang Wu's co-authors include Christopher J. C. Burges, Ping Li, Jianlin Wei, Jihong Wang, Andrzej Cichocki, Qibin Zhao, Feng Gao, Ju Liu, Jiande Sun and Fengyu Cong and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

In The Last Decade

Qiang Wu

40 papers receiving 1.0k citations

Peers

Qiang Wu
Yong Peng China
Qiang Wu
Citations per year, relative to Qiang Wu Qiang Wu (= 1×) peers Yong Peng

Countries citing papers authored by Qiang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Wu. A scholar is included among the top collaborators of Qiang Wu 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 Qiang Wu. Qiang Wu 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.
3.
Wang, Yu, et al.. (2025). MCF-Net: a multi-scale context fusion network for real-time fabric defect detection. Digital Signal Processing. 167. 105425–105425.
4.
Sun, Jiande, et al.. (2025). Attention Guidance by Cross-Domain Supervision Signals for Scene Text Recognition. IEEE Transactions on Image Processing. 34. 717–728. 2 indexed citations
5.
Wu, Qiang, et al.. (2024). TNCB: Tri-Net With Cross-Balanced Pseudo Supervision for Class Imbalanced Medical Image Classification. IEEE Journal of Biomedical and Health Informatics. 28(4). 2187–2198. 6 indexed citations
6.
Wang, Hui, et al.. (2024). Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals. IEEE Transactions on Affective Computing. 16(3). 1500–1513. 1 indexed citations
7.
Wang, Yonghui, Chuanjun Zhuo, Yuan Yao, et al.. (2022). Classification of Alzheimer’s Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning. Frontiers in Aging Neuroscience. 14. 754334–754334. 17 indexed citations
8.
Zhang, Yiping, et al.. (2021). Turbidity prediction of lake-type raw water using random forest model based on meteorological data: A case study of Tai lake, China. Journal of Environmental Management. 290. 112657–112657. 41 indexed citations
9.
Ma, Zhan, Feng Gao, Nan Li, et al.. (2020). Multilayer SOH Equalization Scheme for MMC Battery Energy Storage System. IEEE Transactions on Power Electronics. 35(12). 13514–13527. 69 indexed citations
10.
Wu, Qiang, et al.. (2020). Monitoring Depth of Anesthesia Based on Hybrid Features and Recurrent Neural Network. Frontiers in Neuroscience. 14. 26–26. 26 indexed citations
11.
Wu, Qiang, et al.. (2019). FMNet: Feature Mining Networks for Brain Tumor Segmentation. 555–560. 3 indexed citations
12.
Li, Shaoqing, Qiang Wu, Dan Zhang, et al.. (2018). Effects of pulse charging on the performances of lithium-ion batteries. Nano Energy. 56. 555–562. 52 indexed citations
13.
Xu, Xiaowen, et al.. (2018). Whole Brain fMRI Pattern Analysis Based on Tensor Neural Network. IEEE Access. 6. 29297–29305. 12 indexed citations
14.
Cai, Wei, et al.. (2012). Independent DC capacitance parallel multiple module SVG based on CPS-SPWM. 1350–1355. 2 indexed citations
15.
Wu, Qiang. (2010). Complex deposit 3D modeling and geology automatic plotting. Jisuanji yingyong yanjiu.
16.
Wu, Qiang, et al.. (2009). Robust speech feature extraction based on Gabor filtering and tensor factorization. 15. 4649–4652. 5 indexed citations
17.
Wei, Jianlin, Jihong Wang, & Qiang Wu. (2007). Development of a Multisegment Coal Mill Model Using an Evolutionary Computation Technique. IEEE Transactions on Energy Conversion. 22(3). 718–727. 69 indexed citations
18.
Wu, Qiang. (2005). A “Three Maps” Method on the Evaluations of Ground Fissure Hazard. Acta Geological Sinica. 1 indexed citations
19.
Wu, Qiang. (2004). Water-power erosion in mines coupling GIS, RS and AHP model. Coal Geology & Exploration. 2 indexed citations
20.
Wu, Qiang, et al.. (2001). Voltage security enhancement via coordinated control. IEEE Transactions on Power Systems. 16(1). 127–135. 33 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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