Lei Tong

534 total citations
29 papers, 414 citations indexed

About

Lei Tong is a scholar working on Media Technology, Atmospheric Science and Ecology. According to data from OpenAlex, Lei Tong has authored 29 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Media Technology, 20 papers in Atmospheric Science and 4 papers in Ecology. Recurrent topics in Lei Tong's work include Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (20 papers) and Advanced Image Fusion Techniques (18 papers). Lei Tong is often cited by papers focused on Remote-Sensing Image Classification (25 papers), Remote Sensing and Land Use (20 papers) and Advanced Image Fusion Techniques (18 papers). Lei Tong collaborates with scholars based in China, Australia and United Kingdom. Lei Tong's co-authors include Jun Zhou, Xiao Bai, Chuangbai Xiao, Yongsheng Gao, Bin Qian, Yuntao Qian, Jing Yu, Jie Liang, Xue Li and Junfei Qiao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Remote Sensing.

In The Last Decade

Lei Tong

28 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lei Tong China	12	328	196	123	45	28	29	414
Yishu Peng China	13	386 1.2×	188 1.0×	173 1.4×	88 2.0×	40 1.4×	31	561
Boao Qin China	8	314 1.0×	148 0.8×	161 1.3×	88 2.0×	34 1.2×	15	499
Erting Pan China	9	356 1.1×	196 1.0×	158 1.3×	41 0.9×	49 1.8×	20	463
Minshan Cui United States	10	270 0.8×	149 0.8×	134 1.1×	39 0.9×	35 1.3×	23	351
Xiangpo Wei China	7	360 1.1×	267 1.4×	135 1.1×	54 1.2×	56 2.0×	12	467
Jie Xie China	6	241 0.7×	129 0.7×	161 1.3×	52 1.2×	26 0.9×	19	341

Countries citing papers authored by Lei Tong

Since Specialization

Citations

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

Fields of papers citing papers by Lei Tong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tong. A scholar is included among the top collaborators of Lei Tong 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 Lei Tong. Lei Tong 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

Liu, Dong, et al.. (2025). Mechanism study of cavity delayed shedding process in cavitating flow based on compressible method. Ocean Engineering. 321. 120150–120150. 1 indexed citations

Tong, Lei, et al.. (2024). Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations

Wei, Wei, Lei Tong, Baoqing Guo, Jun Zhou, & Chuangbai Xiao. (2024). Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 3 indexed citations

Wu, Chun-Ran, Lei Tong, Jun Zhou, & Chuangbai Xiao. (2024). Spectral–Spatial Large Kernel Attention Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 16 indexed citations

Ma, Shan, Lei Tong, Jun Zhou, Jing Yu, & Chuangbai Xiao. (2023). Self-Supervised Spectral–Spatial Graph Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–15. 12 indexed citations

Tong, Lei, et al.. (2022). Superpixel Spectral–Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 18 indexed citations

Chen, Zhitao, Lei Tong, Bin Qian, Jing Yu, & Chuangbai Xiao. (2021). Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification. Remote Sensing. 13(16). 3316–3316. 22 indexed citations

Zhou, Lei, Xiao Bai, Lei Tong, et al.. (2020). Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4257–4270. 34 indexed citations

Tong, Lei, Bin Qian, Jing Yu, & Chuangbai Xiao. (2020). Homogeneous region regularized multilayer non-negative matrix factorization for hyperspectral unmixing. Journal of Applied Remote Sensing. 14(4). 1 indexed citations

10.

Tong, Lei, et al.. (2020). Hyperspectral Image Classification With Spectral and Spatial Graph Using Inductive Representation Learning Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 791–800. 31 indexed citations

11.

Tian, Jun, Lei Tong, Daozhong Hu, et al.. (2018). Safety test and evaluation method of lithium ion battery. Energy Storage Science and Technology. 7(6). 1128.

12.

Zhou, Jun, et al.. (2017). Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. Griffith Research Online (Griffith University, Queensland, Australia). 1–8. 8 indexed citations

13.

Liang, Jie, et al.. (2017). Material based salient object detection from hyperspectral images. Pattern Recognition. 76. 476–490. 67 indexed citations

14.

Tong, Lei, Jun Zhou, Xue Li, Yuntao Qian, & Yongsheng Gao. (2016). Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(4). 1575–1588. 45 indexed citations

15.

Tong, Lei, Jun Zhou, Yuntao Qian, Xiao Bai, & Yongsheng Gao. (2016). Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. IEEE Transactions on Geoscience and Remote Sensing. 54(11). 6531–6544. 42 indexed citations

16.

Li, Xue, et al.. (2016). Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing. Griffith Research Online (Griffith University, Queensland, Australia). 401. 1848–1852. 3 indexed citations

17.

Tong, Lei, Jun Zhou, Yuntao Qian, & Yongsheng Gao. (2015). Multiple graph regularized NMF for hyperspectral unmixing. Griffith Research Online (Griffith University, Queensland, Australia). 14. 1–4. 6 indexed citations

18.

Shu, Zhenqiu, Jun Zhou, Lei Tong, Xiao Bai, & Chunxia Zhao. (2015). Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. Griffith Research Online (Griffith University, Queensland, Australia). 14. 2174–2178. 10 indexed citations

19.

Tong, Lei, Jun Zhou, Cheng‐Yuan Xu, Yuntao Qian, & Yongsheng Gao. (2013). Soil Biochar Quantification via Hyperspectral Unmixing. Griffith Research Online (Griffith University, Queensland, Australia). 1–8. 5 indexed citations

20.

Tong, Lei, et al.. (2009). Variational Model on Wavelet Domain for PET/CT Image Fusion. 13. 1–4. 1 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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