Liguo Wang

3.6k total citations
226 papers, 2.7k citations indexed

About

Liguo Wang is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Liguo Wang has authored 226 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Media Technology, 124 papers in Atmospheric Science and 75 papers in Computer Vision and Pattern Recognition. Recurrent topics in Liguo Wang's work include Remote-Sensing Image Classification (157 papers), Remote Sensing and Land Use (121 papers) and Advanced Image Fusion Techniques (86 papers). Liguo Wang is often cited by papers focused on Remote-Sensing Image Classification (157 papers), Remote Sensing and Land Use (121 papers) and Advanced Image Fusion Techniques (86 papers). Liguo Wang collaborates with scholars based in China, Hong Kong and Iceland. Liguo Wang's co-authors include Cuiping Shi, Qunming Wang, Danfeng Liu, Peng Wang, Henry Leung, Gong Zhang, Siyuan Hao, Wenzhong Shi, Xiuping Jia and Tao Wang and has published in prestigious journals such as Scientific Reports, Biophysical Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Liguo Wang

207 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liguo Wang China 27 1.8k 1.0k 780 399 289 226 2.7k
Zhouhan Lin China 13 1.9k 1.1× 1.3k 1.3× 752 1.0× 334 0.8× 673 2.3× 35 2.9k
Xinyu Wang China 24 1.6k 0.9× 774 0.8× 605 0.8× 439 1.1× 297 1.0× 96 2.5k
Bing Tu China 32 1.7k 1.0× 926 0.9× 717 0.9× 197 0.5× 396 1.4× 157 2.8k
Hanlu Jiang China 4 1.8k 1.0× 1.2k 1.2× 575 0.7× 275 0.7× 248 0.9× 8 2.3k
Ping Zhong China 24 1.9k 1.1× 907 0.9× 1.0k 1.3× 205 0.5× 478 1.7× 82 2.7k
Haokui Zhang China 15 1.8k 1.0× 1.1k 1.1× 750 1.0× 332 0.8× 323 1.1× 30 2.4k
Mingyang Zhang China 27 1.1k 0.6× 682 0.7× 515 0.7× 224 0.6× 512 1.8× 118 2.0k
Swalpa Kumar Roy India 25 3.0k 1.7× 1.7k 1.7× 1.1k 1.5× 364 0.9× 517 1.8× 71 4.0k
Meng Xu China 26 1.4k 0.8× 497 0.5× 675 0.9× 262 0.7× 267 0.9× 71 2.1k

Countries citing papers authored by Liguo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Liguo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liguo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Liguo Wang. A scholar is included among the top collaborators of Liguo Wang 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 Liguo Wang. Liguo Wang 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.
Liu, Haitao, et al.. (2025). An optimized preprocessing Gauss-Seidel iterative detection algorithm for massive MIMO systems. Ain Shams Engineering Journal. 16(5). 103358–103358.
2.
Mei, Di, et al.. (2025). The LiCF3SO3/CO(NH2)2 deep eutectic coating on LAZ931 Mg alloy. Materials Letters. 383. 137983–137983. 1 indexed citations
3.
Shi, Cuiping, et al.. (2025). Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Multimodal Feature Aggregation-Based Multihead Axial Attention Transformer. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17. 6 indexed citations
4.
Yin, Shoulin, Liguo Wang, Tao Chen, et al.. (2025). LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation. ACM Transactions on Intelligent Systems and Technology. 17(3). 1–24.
5.
Sun, Heting, et al.. (2024). Hyperspectral Image Classification with the Orthogonal Self-Attention ResNet and Two-Step Support Vector Machine. Remote Sensing. 16(6). 1010–1010. 7 indexed citations
6.
7.
Yang, Jinghui, et al.. (2024). AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification. Remote Sensing. 16(6). 990–990. 5 indexed citations
8.
Shi, Cuiping, et al.. (2024). Attention Head Interactive Dual Attention Transformer for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–20. 6 indexed citations
9.
Shi, Cuiping, et al.. (2024). A Multihop Graph Rectify Attention and Spectral Overlap Grouping Convolutional Fusion Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–17. 8 indexed citations
10.
Shi, Cuiping, et al.. (2024). Multihead Global Attention and Spatial Spectral Information Fusion for Remote Sensing Image Compression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 999–1015. 4 indexed citations
11.
Shi, Cuiping, et al.. (2023). Hyperspectral Image Classification Based on a 3D Octave Convolution and 3D Multiscale Spatial Attention Network. Remote Sensing. 15(1). 257–257. 14 indexed citations
12.
Yin, Shoulin, Liguo Wang, Qunming Wang, Jinghui Yang, & Man Jiang. (2023). Remote Sensing Image Segmentation Based on a Novel Gaussian Mixture Model and SURF Algorithm. International Journal of Swarm Intelligence Research. 14(2). 1–15.
13.
Yin, Shoulin, Liguo Wang, Qunming Wang, Mirjana Ivanović, & Jinghui Yang. (2023). M2F2-RCNN: Multi-functional faster RCNN based on multi-scale feature fusion for region search in remote sensing images. Computer Science and Information Systems. 20(4). 1289–1310. 1 indexed citations
14.
Zhang, Junguo, et al.. (2023). SFFGL: A Semantic Feature Fused Global Learning Framework for Multiclass Change Detection in Hyperspectral Images. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 4 indexed citations
15.
Wang, Liguo, et al.. (2023). Hyperspectral Target Detection via Global Spatial–Spectral Attention Network and Background Suppression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 9011–9024. 6 indexed citations
16.
Yang, Jinghui, et al.. (2023). A Multipath and Multiscale Siamese Network Based on Spatial-Spectral Features for Few-Shot Hyperspectral Image Classification. Remote Sensing. 15(18). 4391–4391. 3 indexed citations
17.
Wang, Liguo, et al.. (2022). RSCNet: A Residual Self-Calibrated Network for Hyperspectral Image Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–17. 38 indexed citations
18.
Wang, Peng, et al.. (2022). Spatiotemporal Subpixel Mapping Based on Priori Remote Sensing Image With Variation Differences. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 7556–7575. 3 indexed citations
19.
Shi, Cuiping, et al.. (2021). A Facial Expression Recognition Method Based on a Multibranch Cross-Connection Convolutional Neural Network. IEEE Access. 9. 39255–39274. 48 indexed citations
20.
Wang, Peng, Liguo Wang, Henry Leung, & Gong Zhang. (2020). Super-Resolution Mapping Based on Spatial–Spectral Correlation for Spectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 59(3). 2256–2268. 147 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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