Zhaowei Shang

2.5k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Zhaowei Shang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Zhaowei Shang has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 22 papers in Artificial Intelligence. Recurrent topics in Zhaowei Shang's work include Advanced Image Fusion Techniques (19 papers), Image Retrieval and Classification Techniques (14 papers) and Remote-Sensing Image Classification (14 papers). Zhaowei Shang is often cited by papers focused on Advanced Image Fusion Techniques (19 papers), Image Retrieval and Classification Techniques (14 papers) and Remote-Sensing Image Classification (14 papers). Zhaowei Shang collaborates with scholars based in China, Macao and United States. Zhaowei Shang's co-authors include Bin Fang, Yuan Yan Tang, Taiping Zhang, Anyong Qin, Yuanyan Tang, Lin Chen, Jinyu Tian, Yulong Wang, Shangjun Ma and Geng Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Zhaowei Shang

81 papers receiving 1.5k citations

Hit Papers

Spectral–Spatial Graph Co... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaowei Shang China 17 730 564 274 273 225 88 1.5k
Ke Qin China 17 470 0.6× 102 0.2× 157 0.6× 454 1.7× 81 0.4× 93 1.4k
Taiping Zhang China 17 818 1.1× 550 1.0× 51 0.2× 286 1.0× 20 0.1× 68 1.3k
Shuvra S. Bhattacharyya United States 30 447 0.6× 296 0.5× 81 0.3× 287 1.1× 56 0.2× 339 3.8k
Gagandeep Singh India 17 580 0.8× 216 0.4× 30 0.1× 721 2.6× 104 0.5× 55 1.3k
A. Ben Hamza Canada 25 1.4k 1.9× 349 0.6× 47 0.2× 233 0.9× 26 0.1× 108 1.9k
Yi-Ren Yeh Taiwan 15 549 0.8× 104 0.2× 61 0.2× 642 2.4× 20 0.1× 39 1.1k
Hong Man United States 21 516 0.7× 107 0.2× 201 0.7× 496 1.8× 31 0.1× 127 1.7k

Countries citing papers authored by Zhaowei Shang

Since Specialization
Citations

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

Fields of papers citing papers by Zhaowei Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaowei Shang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaowei Shang. A scholar is included among the top collaborators of Zhaowei Shang 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 Zhaowei Shang. Zhaowei Shang 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.
Wei, Xuekai, et al.. (2025). Continuous reinforcement learning via advantage value difference reward shaping: A proximal policy optimization perspective. Engineering Applications of Artificial Intelligence. 151. 110676–110676.
2.
Wang, Wei, et al.. (2024). Brain-inspired semantic data augmentation for multi-style images. Frontiers in Neurorobotics. 18. 1382406–1382406. 1 indexed citations
3.
Zhou, Mingliang, Zhaowei Shang, Huayan Pu, et al.. (2023). An End-to-End Video Coding Method via Adaptive Vision Transformer. International Journal of Pattern Recognition and Artificial Intelligence. 38(1). 2 indexed citations
4.
Zhou, Mingliang, Xueyong Xu, Xuekai Wei, et al.. (2023). Multilevel Feature Fusion for End-to-End Blind Image Quality Assessment. IEEE Transactions on Broadcasting. 69(3). 801–811. 24 indexed citations
5.
Zhou, Mingliang, Xingran Liao, Weijia Jia, et al.. (2022). An End-to-End No-Reference Video Quality Assessment Method With Hierarchical Spatiotemporal Feature Representation. IEEE Transactions on Broadcasting. 68(3). 651–660. 29 indexed citations
6.
Zhou, Mingliang, Taiping Zhang, Xingran Liao, et al.. (2022). Attentional Feature Fusion for End-to-End Blind Image Quality Assessment. IEEE Transactions on Broadcasting. 69(1). 144–152. 30 indexed citations
7.
Wu, Bin, et al.. (2022). A Structure Preservation and Denoising Low-Light Enhancement Model via Coefficient of Variation. International Journal of Pattern Recognition and Artificial Intelligence. 36(13). 2 indexed citations
8.
Shang, Zhaowei, et al.. (2019). Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks. Neurocomputing. 352. 64–74. 30 indexed citations
9.
Zhang, Yuanping, Yuanyan Tang, Bin Fang, & Zhaowei Shang. (2019). Multi-object tracking using deformable convolution networks with tracklets updating. International Journal of Wavelets Multiresolution and Information Processing. 17(6). 1950042–1950042. 2 indexed citations
10.
Qin, Anyong, Zhaowei Shang, Jinyu Tian, et al.. (2018). Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(7). 2501–2512. 5 indexed citations
11.
Qin, Anyong, Zhaowei Shang, Jinyu Tian, et al.. (2018). Spectral–Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 16(2). 241–245. 297 indexed citations breakdown →
12.
Shang, Zhaowei, et al.. (2018). Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access. 7. 7663–7677. 39 indexed citations
13.
Chen, Lin, Bin Fang, & Zhaowei Shang. (2016). Software fault prediction based on one-class SVM. 1003–1008. 8 indexed citations
14.
Lang, Fangnian, Jiliu Zhou, Yuan Yan Tang, et al.. (2014). Characteristics analysis of wavelet coefficients and its applications in image compression. International Journal of Wavelets Multiresolution and Information Processing. 12(3). 1450028–1450028. 2 indexed citations
15.
Zhao, Hengjun, Zhaowei Shang, Yuan Yan Tang, & Bin Fang. (2012). Multi-focus image fusion based on the neighbor distance. Pattern Recognition. 46(3). 1002–1011. 84 indexed citations
16.
Shang, Zhaowei, et al.. (2010). Image denoising method with improved NeighLevel. Computer Engineering and Applications Journal. 46(25). 157–159. 1 indexed citations
17.
Zhang, Taiping, Bin Fang, Yuan Yan Tang, & Zhaowei Shang. (2010). LOCALITY PRESERVING NONNEGATIVE MATRIX FACTORIZATION WITH APPLICATION TO FACE RECOGNITION. International Journal of Wavelets Multiresolution and Information Processing. 8(5). 835–846. 6 indexed citations
18.
Shang, Zhaowei, et al.. (2008). A Novel Unsupervised Color Image Fuzzy Classification Scheme Based Salient Regions. 1 indexed citations
19.
Zhao, Chun, et al.. (2006). Spatially Adaptive Image Denoising Based on Complex Wavelet Coefficients. 1 indexed citations
20.
Shang, Zhaowei, Guizhong Liu, & Yatong Zhou. (2005). Texture image retrieval and similarity matching. 7. 4081–4084. 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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