Wei Wei

5.2k total citations · 1 hit paper
202 papers, 2.9k citations indexed

About

Wei Wei is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Wei Wei has authored 202 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Computer Vision and Pattern Recognition, 105 papers in Media Technology and 52 papers in Artificial Intelligence. Recurrent topics in Wei Wei's work include Remote-Sensing Image Classification (77 papers), Advanced Image Fusion Techniques (52 papers) and Image and Signal Denoising Methods (37 papers). Wei Wei is often cited by papers focused on Remote-Sensing Image Classification (77 papers), Advanced Image Fusion Techniques (52 papers) and Image and Signal Denoising Methods (37 papers). Wei Wei collaborates with scholars based in China, United States and Australia. Wei Wei's co-authors include Yanning Zhang, Lei Zhang, Lu Zhang, Ruoxi Qi, Jiangtao Nie, Yong Li, Chunna Tian, Lei Zhang, Anton van den Hengel and Chunhua Shen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Energy and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Wei Wei

183 papers receiving 2.8k citations

Hit Papers

Effects of virtual reality on theme park visitors' experi... 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
Wei Wei China 29 1.4k 1.4k 544 341 219 202 2.9k
Jie Lei China 36 1.7k 1.2× 1.7k 1.2× 1.1k 1.9× 597 1.8× 131 0.6× 130 3.6k
Ruby C. Weng Taiwan 11 1.1k 0.7× 387 0.3× 1.3k 2.4× 201 0.6× 105 0.5× 24 3.2k
Yanwen Guo China 22 1.9k 1.3× 516 0.4× 703 1.3× 71 0.2× 400 1.8× 119 2.8k
Lingfeng Wang China 26 1.5k 1.1× 634 0.4× 719 1.3× 107 0.3× 155 0.7× 110 2.4k
Jing Tian China 32 1.4k 1.0× 789 0.6× 507 0.9× 91 0.3× 94 0.4× 245 3.5k
Jorma Laaksonen Finland 27 1.9k 1.3× 485 0.3× 1.0k 1.9× 193 0.6× 44 0.2× 161 3.0k
Jianmin Bao China 20 4.2k 2.9× 875 0.6× 1.2k 2.2× 86 0.3× 158 0.7× 37 5.4k
Chun Yuan China 26 1.4k 1.0× 221 0.2× 684 1.3× 110 0.3× 264 1.2× 201 2.6k
Ke Gu China 45 7.4k 5.1× 3.7k 2.6× 294 0.5× 49 0.1× 148 0.7× 168 8.5k

Countries citing papers authored by Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wei. A scholar is included among the top collaborators of Wei Wei 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 Wei Wei. Wei Wei 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, Xiao, et al.. (2025). Do it yourself dynamic single image super resolution network via ODE. Pattern Recognition. 170. 111987–111987.
2.
Wei, Wei, et al.. (2024). How anthropomorphism shapes restaurant customers’ consumption of plant-based meat alternatives: Perceptions, attitudes, and intention to visit. International Journal of Hospitality Management. 123. 103898–103898. 1 indexed citations
3.
Zhang, Kai, Yaqiong Zhang, Ying Ding, et al.. (2024). Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning. Biomedical Signal Processing and Control. 90. 105911–105911. 8 indexed citations
4.
Ding, Chen, et al.. (2024). Survey of hyperspectral image change detection method. Journal of Image and Graphics. 29(6). 1714–1729. 1 indexed citations
5.
Chen, Guochao, Jiangtao Nie, Wei Wei, Lei Zhang, & Yanning Zhang. (2024). Arbitrary-Scale Hyperspectral Image Super-Resolution From a Fusion Perspective With Spatial Priors. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–11. 1 indexed citations
6.
Zhang, Lei, Jiangtao Nie, Wei Wei, & Yanning Zhang. (2024). Unsupervised Test-Time Adaptation Learning for Effective Hyperspectral Image Super-Resolution With Unknown Degeneration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(7). 5008–5025. 11 indexed citations
7.
Zhou, Fang, et al.. (2024). Multi source-free domain adaptation based on pseudo-label knowledge mining. Pattern Recognition Letters. 187. 80–85. 2 indexed citations
8.
Nie, Jiangtao, et al.. (2024). Constructing a Multi-Modal Based Underwater Acoustic Target Recognition Method With a Pre-Trained Language-Audio Model. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 3 indexed citations
9.
Ding, Chen, et al.. (2024). GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–19. 2 indexed citations
10.
Zhou, Fei, Peng Wang, Lei Zhang, Wei Wei, & Yanning Zhang. (2024). Meta-collaborative comparison for effective cross-domain few-shot learning. Pattern Recognition. 156. 110790–110790. 4 indexed citations
11.
Song, Yi, et al.. (2023). Dynamical transition of phenotypic states in breast cancer system with Lévy noise. Physica A Statistical Mechanics and its Applications. 627. 129122–129122. 1 indexed citations
12.
Wei, Wei, et al.. (2023). Semi-Supervised Neural Architecture Search for Hyperspectral Imagery Classification Method With Dynamic Feature Clustering. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 10 indexed citations
13.
Hannon, Stephen, Bradley C. Whitmore, Janice Lee, et al.. (2023). Star cluster classification using deep transfer learning with PHANGS-HST. Monthly Notices of the Royal Astronomical Society. 526(2). 2991–3006. 4 indexed citations
14.
Wei, Wei, et al.. (2023). Lightweighted Hyperspectral Image Classification Network by Progressive Bi-Quantization. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 8 indexed citations
15.
Li, Wei, Wei Wei, & Lei Zhang. (2021). GSDet: Object Detection in Aerial Images Based on Scale Reasoning. IEEE Transactions on Image Processing. 30. 4599–4609. 30 indexed citations
16.
Ding, Chen, et al.. (2021). Multiple Multi-Scale Neural Networks Knowledge Transfer and Integration for Accurate Pixel-Level Retinal Blood Vessel Segmentation. Applied Sciences. 11(24). 11907–11907. 1 indexed citations
17.
Zhang, Lei, Peng Wang, Lingqiao Liu, et al.. (2020). Towards Effective Deep Embedding for Zero-Shot Learning. IEEE Transactions on Circuits and Systems for Video Technology. 30(9). 2843–2852. 56 indexed citations
18.
Wei, Wei, et al.. (2019). Robust Hyperspectral Image Domain Adaptation With Noisy Labels. IEEE Geoscience and Remote Sensing Letters. 16(7). 1135–1139. 13 indexed citations
19.
Zhang, Lei, Wei Wei, Yanning Zhang, et al.. (2018). Cluster Sparsity Field: An Internal Hyperspectral Imagery Prior for Reconstruction. International Journal of Computer Vision. 126(8). 797–821. 63 indexed citations
20.
Ding, Chen, Ying Li, Yong Xia, et al.. (2017). Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels. Remote Sensing. 9(6). 618–618. 48 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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