Liang Wu

565 total citations
36 papers, 371 citations indexed

About

Liang Wu is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Liang Wu has authored 36 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Civil and Structural Engineering and 5 papers in Ocean Engineering. Recurrent topics in Liang Wu's work include Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (6 papers) and Brain Tumor Detection and Classification (4 papers). Liang Wu is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Advanced Neural Network Applications (6 papers) and Brain Tumor Detection and Classification (4 papers). Liang Wu collaborates with scholars based in China, United States and Malaysia. Liang Wu's co-authors include Shunbo Hu, Changchun Liu, A.A. El-Keib, Mohammad Shahidehpour, Jeongje Park, R. Billinton, Jaeseok Choi, Yunan Hu, Ming Zhang and Dahua Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Liang Wu

36 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Wu China 10 114 90 68 56 56 36 371
Sixian Chan China 12 299 2.6× 39 0.4× 47 0.7× 19 0.3× 13 0.2× 83 475
A. V. Narasimhadhan India 11 159 1.4× 21 0.2× 35 0.5× 14 0.3× 13 0.2× 60 433
Duo Li China 7 299 2.6× 46 0.5× 50 0.7× 10 0.2× 15 0.3× 11 485
Yang Jia China 12 193 1.7× 65 0.7× 24 0.4× 163 2.9× 4 0.1× 54 410
Yifan Yang China 9 141 1.2× 22 0.2× 22 0.3× 27 0.5× 9 0.2× 18 272
Wei Ye China 10 144 1.3× 133 1.5× 124 1.8× 12 0.2× 5 0.1× 36 515
Yufeng Huang China 11 255 2.2× 27 0.3× 34 0.5× 73 1.3× 7 0.1× 45 462
Jan Lundgren Sweden 9 68 0.6× 44 0.5× 18 0.3× 7 0.1× 9 0.2× 49 361
Xiangyu Gao United States 8 117 1.0× 82 0.9× 203 3.0× 5 0.1× 65 1.2× 20 411

Countries citing papers authored by Liang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Wu. A scholar is included among the top collaborators of Liang 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 Liang Wu. Liang 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.
Zhang, Ming, et al.. (2024). Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4845–4858. 12 indexed citations
2.
Wu, Liang, Shirui Wang, Jun Liu, et al.. (2024). A survey of MRI-based brain tissue segmentation using deep learning. Complex & Intelligent Systems. 11(1). 5 indexed citations
3.
Zhang, Ming, et al.. (2024). SAR ship detection network based on global context and multi-scale feature enhancement. Signal Image and Video Processing. 18(3). 2951–2964. 4 indexed citations
4.
Zhang, Fuchun, et al.. (2023). Multi-classification method of arrhythmia based on multi-scale residual neural network and multi-channel data fusion. Frontiers in Physiology. 14. 1253907–1253907. 4 indexed citations
5.
Zhang, Ming, et al.. (2023). Detection of low‐dose computed tomography pulmonary nodules based on 3D CNN‐CapsNet. Electronics Letters. 59(18). 2 indexed citations
6.
Wu, Liang, et al.. (2023). RClaNet: An Explainable Alzheimer's Disease Diagnosis Framework by Joint Registration and Classification. IEEE Journal of Biomedical and Health Informatics. 28(4). 2338–2349. 4 indexed citations
7.
Wu, Liang, Shunbo Hu, & Changchun Liu. (2021). Denoising of 3D Brain MR Images with Parallel Residual Learning of Convolutional Neural Network Using Global and Local Feature Extraction. Computational Intelligence and Neuroscience. 2021(1). 5577956–5577956. 16 indexed citations
8.
Wu, Liang, et al.. (2021). On-Orbit Calibration of Star Sensor under Temperature Variation. 54. 532–535. 2 indexed citations
9.
Gao, Wenli, Xinming Lu, Yanjun Peng, & Liang Wu. (2020). A Deep Learning Approach Replacing the Finite Difference Method for In Situ Stress Prediction. IEEE Access. 8. 44063–44074. 15 indexed citations
10.
Zhang, Ming, et al.. (2020). Convolutional Neural Network With Attention Mechanism for SAR Automatic Target Recognition. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 40 indexed citations
11.
Wu, Liang, et al.. (2018). Detection of low dose CT pulmonary nodules based on 3D convolution neural network. Optics and Precision Engineering. 26(5). 1211–1218. 10 indexed citations
12.
Wu, Liang, et al.. (2016). Multi-exponential inversion of T2 spectrum in NMR based on improved nonlinear fitting. Acta Physica Sinica. 65(10). 107601–107601. 6 indexed citations
13.
Chen, Zhanlong, et al.. (2016). A Quantitative Calculation Method of Composite Spatial Direction Similarity Concerning Scale Differences. SHILAP Revista de lepidopterología. 3 indexed citations
14.
Chen, Zhanlong, et al.. (2015). A Quantitative Calculation Method of Spatial Direction Similarity Based on Direction Relation Matrix. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Chen, Zhanlong, Yongyang Xu, & Liang Wu. (2015). Vector Planar Elements: Geometrical Similarity Measurement Based On Fourier Descriptors. GEOMATICA. 69(4). 385–394. 1 indexed citations
16.
Wu, Liang. (2011). Gravity dam safety reliability analysis based on artificial neural network. Journal of Hohai University. 1 indexed citations
17.
Yang, Shudong, et al.. (2011). Simulation and experiment on the flow field in fit clearance for a large size spool valve. 3. 748–751. 5 indexed citations
18.
Yang, Hua, et al.. (2011). Dam Safety Reliability Analysis Based on Artificial Neural Network. Advanced materials research. 255-260. 3620–3625. 2 indexed citations
19.
Wu, Liang & Yunan Hu. (2009). Vision-aided navigation for aircrafts based on road junction detection. 164–169. 15 indexed citations
20.
Wu, Liang. (2002). Preliminary Analysis of Elastic Modulus Stochastic Field's Effect on Concrete Dam Stress. 2 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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