Wei Tu

503 total citations
39 papers, 376 citations indexed

About

Wei Tu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Wei Tu has authored 39 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Wei Tu's work include Advanced Image Fusion Techniques (19 papers), Remote-Sensing Image Classification (16 papers) and Image and Signal Denoising Methods (10 papers). Wei Tu is often cited by papers focused on Advanced Image Fusion Techniques (19 papers), Remote-Sensing Image Classification (16 papers) and Image and Signal Denoising Methods (10 papers). Wei Tu collaborates with scholars based in China, United States and Japan. Wei Tu's co-authors include Yong Yang, Shuying Huang, Hangyuan Lu, Weiguo Wan, Qingguo Wei, Yuming Fang, Yanshuai Li, Zhangming Zhu, Liqiang Zhang and Lianxi Liu and has published in prestigious journals such as Nano Letters, Applied Catalysis B: Environmental and ACS Catalysis.

In The Last Decade

Wei Tu

34 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Tu China	12	267	227	63	59	21	39	376
Satoshi Maekawa Japan	10	234 0.9×	162 0.7×	53 0.8×	43 0.7×	33 1.6×	36	358
Yaohua Yi China	10	66 0.2×	170 0.7×	47 0.7×	43 0.7×	6 0.3×	30	288
Yangjun Ou China	7	145 0.5×	173 0.8×	26 0.4×	47 0.8×	7 0.3×	11	334
Kishore Rathinavel United States	7	276 1.0×	138 0.6×	35 0.6×	30 0.5×	68 3.2×	11	350
Sewoong Ahn South Korea	10	114 0.4×	230 1.0×	33 0.5×	15 0.3×	21 1.0×	19	310
Thierry Oggier Switzerland	8	33 0.1×	140 0.6×	70 1.1×	63 1.1×	12 0.6×	11	360
Songwei Liu China	9	81 0.3×	139 0.6×	22 0.3×	146 2.5×	5 0.2×	26	317
Tomoyuki Mishina Japan	13	512 1.9×	176 0.8×	40 0.6×	59 1.0×	30 1.4×	54	603
Nathan Matsuda United States	8	145 0.5×	106 0.5×	53 0.8×	49 0.8×	36 1.7×	26	307
Rajiv R. Sahay India	10	122 0.5×	229 1.0×	31 0.5×	12 0.2×	35 1.7×	33	302

Countries citing papers authored by Wei Tu

Since Specialization

Citations

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

Fields of papers citing papers by Wei Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Tu. A scholar is included among the top collaborators of Wei Tu 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 Tu. Wei Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Song, Qunliang, et al.. (2025). Invertible Attention-Guided Adaptive Convolution and Dual-Domain Transformer for Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 5217–5231.

Tu, Wei, Zhen Zeng, Yongjian Zhao, et al.. (2025). In Situ Multiscale Study of Iron Oxidation at High Temperatures. Nano Letters. 25(20). 8089–8095. 3 indexed citations

Bai, An, Fan Zhang, Bao Zhang, et al.. (2025). Structural chemistry of oxides: Oxygen vacancy dynamics. Journal of Energy Chemistry. 114. 32–51.

Lu, Hangyuan, et al.. (2024). Cross-Scale Interaction With Spatial-Spectral Enhanced Window Attention for Pansharpening. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 11521–11535. 4 indexed citations

Huang, Shuying, et al.. (2024). VSDM: Variable-Scale Diffusion Model Based on Dynamic Condition Guidance for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–12.

Lin, Xinzhang, Yifan Li, Wei Tu, et al.. (2024). Distance-Dependent Charge Redistribution Boosts Hydrogen Evolution in Hybrid Catalysts. ACS Catalysis. 14(15). 11564–11573. 3 indexed citations

Liu, Qiunan, Meng Yu, Chao Wang, et al.. (2024). Rational Design of Diatomic Active Sites for Elucidating Oxygen Evolution Reaction Performance Trends. Angewandte Chemie. 137(1). 1 indexed citations

Li, Dongze, Wei Tu, Chao Wang, et al.. (2024). Mechanism from catalyst to catalysis on Ir segregated SrIrO3 for hydrogen evolution reaction. Applied Catalysis B: Environmental. 365. 124961–124961. 1 indexed citations

Yang, Yong, et al.. (2023). STCP: Synergistic Transformer and Convolutional Neural Network for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 5 indexed citations

10.

Yang, Yong, et al.. (2023). Intensity mixture and band-adaptive detail fusion for pansharpening. Pattern Recognition. 139. 109434–109434. 11 indexed citations

11.

Yang, Yong, et al.. (2023). Multi-scale Spatial-Spectral Attention Guided Fusion Network for Pansharpening. 3346–3354. 10 indexed citations

12.

Yang, Yong, et al.. (2023). CTCP: Cross Transformer and CNN for Pansharpening. 3003–3011. 3 indexed citations

13.

Yang, Yong, et al.. (2022). DCNP: Dual-Information Compensation Network for Pansharpening. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 3 indexed citations

14.

Tu, Wei, et al.. (2022). MMDN: Multi-Scale and Multi-Distillation Dilated Network for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 18 indexed citations

15.

Lu, Hangyuan, Yong Yang, Shuying Huang, Wei Tu, & Weiguo Wan. (2021). A Unified Pansharpening Model Based on Band-Adaptive Gradient and Detail Correction. IEEE Transactions on Image Processing. 31. 918–933. 50 indexed citations

16.

Yang, Yong, et al.. (2021). Dual-Stream Convolutional Neural Network With Residual Information Enhancement for Pansharpening. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 34 indexed citations

17.

Wan, Weiguo, Yong Yang, & Wei Tu. (2021). Residual Enhancement Network for Realistic Face Sketch-Photo Synthesis. 191–195. 2 indexed citations

18.

Lu, Hangyuan, Yong Yang, Shuying Huang, & Wei Tu. (2021). An Efficient Pansharpening Approach Based on Texture Correction and Detail Refinement. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 9 indexed citations

19.

Xu, Zhi, Wei Tu, Feng Yang, et al.. (2014). Narrow Linewidth 177.3-nm Nanosecond Laser With High Efficiency and High Power. IEEE Photonics Technology Letters. 26(10). 980–982. 13 indexed citations

20.

Tu, Wei. (2010). A Method of Rolling Bearing Fault Detection Based on PCA. Jisuanji fangzhen. 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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