Xiong Tan

840 total citations
23 papers, 703 citations indexed

About

Xiong Tan is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiong Tan has authored 23 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Media Technology, 14 papers in Atmospheric Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiong Tan's work include Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (14 papers) and Advanced Image Fusion Techniques (8 papers). Xiong Tan is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (14 papers) and Advanced Image Fusion Techniques (8 papers). Xiong Tan collaborates with scholars based in China. Xiong Tan's co-authors include Xuchu Yu, Bing Liu, Pengqiang Zhang, Zhixiang Xue, Anzhu Yu, Kuiliang Gao, Bing Liu, Xiangpo Wei, Yifan Sun and Ruirui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Xiong Tan

23 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiong Tan China 12 582 395 195 133 50 23 703
Kuiliang Gao China 15 623 1.1× 425 1.1× 239 1.2× 154 1.2× 49 1.0× 30 775
Bobo Xi China 16 703 1.2× 340 0.9× 280 1.4× 166 1.2× 56 1.1× 40 858
Miaomiao Liang China 13 473 0.8× 320 0.8× 145 0.7× 96 0.7× 56 1.1× 34 604
Chengle Zhou China 15 423 0.7× 249 0.6× 180 0.9× 104 0.8× 45 0.9× 33 557
Zhaohui Xue China 13 604 1.0× 388 1.0× 224 1.1× 109 0.8× 72 1.4× 27 764
Shaoyu Wang China 8 485 0.8× 227 0.6× 143 0.7× 134 1.0× 75 1.5× 15 639
Na Chen China 11 464 0.8× 201 0.5× 150 0.8× 176 1.3× 38 0.8× 26 619
Zhaoyue Wu China 12 612 1.1× 311 0.8× 172 0.9× 102 0.8× 64 1.3× 31 726
Shuguo Jiang China 9 447 0.8× 195 0.5× 168 0.9× 110 0.8× 43 0.9× 11 570
Xiang Xu China 14 483 0.8× 244 0.6× 172 0.9× 73 0.5× 33 0.7× 48 678

Countries citing papers authored by Xiong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xiong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiong Tan. A scholar is included among the top collaborators of Xiong Tan 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 Xiong Tan. Xiong Tan 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, Jinyue, et al.. (2024). A gait phase recognition method for obstacle crossing based on multi-sensor fusion. Sensors and Actuators A Physical. 376. 115645–115645. 4 indexed citations
2.
Qi, Lei, et al.. (2023). DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory. ACM Transactions on Multimedia Computing Communications and Applications. 20(5). 1–20. 3 indexed citations
3.
Liu, Bing, Anzhu Yu, Kuiliang Gao, et al.. (2022). DSS-TRM: deep spatial–spectral transformer for hyperspectral image classification. European Journal of Remote Sensing. 55(1). 103–114. 42 indexed citations
4.
Yu, Xuchu, et al.. (2022). FSL-EGNN: Edge-Labeling Graph Neural Network for Hyperspectral Image Few-Shot Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 27 indexed citations
5.
Tan, Xiong, et al.. (2022). Papaverine Infusion Through Aortic Root before Cardiac Self-recovery in HeartValve Replacement with TiO2 Nanocrystalline Film Material. Cellular and Molecular Biology. 68(3). 322–329. 1 indexed citations
6.
Xue, Zhixiang, Xuchu Yu, Pengqiang Zhang, et al.. (2022). Self-Supervised Feature Learning and Few-Shot Land Cover Classification for Cross-Modal Remote Sensing Images. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 3600–3603. 3 indexed citations
7.
Tan, Xiong & Zhixiang Xue. (2022). Spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification. European Journal of Remote Sensing. 55(1). 409–419. 11 indexed citations
8.
Gao, Kuiliang, Xuchu Yu, Xiong Tan, Bing Liu, & Yifan Sun. (2021). Small sample classification for hyperspectral imagery using temporal convolution and attention mechanism. Remote Sensing Letters. 12(5). 510–519. 6 indexed citations
9.
Xue, Zhixiang, Xuchu Yu, Bing Liu, Xiong Tan, & Xiangpo Wei. (2021). HResNetAM: Hierarchical Residual Network With Attention Mechanism for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 3566–3580. 89 indexed citations
10.
Gao, Kuiliang, Bing Liu, Xuchu Yu, et al.. (2021). Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network. International Journal of Remote Sensing. 42(8). 3090–3122. 37 indexed citations
11.
Tan, Xiong, Zhixiang Xue, Xuchu Yu, Yifan Sun, & Kuiliang Gao. (2021). Hyperspectral image classification with deep 3D capsule network and Markov random field. IET Image Processing. 16(1). 79–91. 5 indexed citations
12.
Tan, Xiong, et al.. (2021). Deep global-local transformer network combined with extended morphological profiles for hyperspectral image classification. Journal of Applied Remote Sensing. 15(3). 22 indexed citations
13.
Liu, Bing, Anzhu Yu, Xiong Tan, & Ruirui Wang. (2021). Slow feature extraction for hyperspectral image classification. Remote Sensing Letters. 12(5). 429–438. 6 indexed citations
14.
Xue, Zhixiang, Xuchu Yu, Xiong Tan, et al.. (2021). Multiscale Deep Learning Network With Self-Calibrated Convolution for Hyperspectral and LiDAR Data Collaborative Classification. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 51 indexed citations
15.
Gao, Kuiliang, et al.. (2020). Deep Relation Network for Hyperspectral Image Few-Shot Classification. Remote Sensing. 12(6). 923–923. 146 indexed citations
16.
Zhang, Pengqiang, et al.. (2020). Generative adversarial networks for hyperspectral image classification. Bulletin of Surveying and Mapping. 29. 2 indexed citations
17.
Yu, Xuchu, et al.. (2020). Graph inductive learning method for small sample classification of hyperspectral remote sensing images. European Journal of Remote Sensing. 53(1). 349–357. 6 indexed citations
18.
Yu, Xuchu, et al.. (2018). Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification. SHILAP Revista de lepidopterología. 16 indexed citations
19.
Xie, Liang, Ying Deng, Xiong Tan, et al.. (2018). Association of SNP rs1867277 in FOXE1 Gene and Cleft Lip with or without Cleft Palate in a Han Chinese Population. Fetal and Pediatric Pathology. 37(2). 89–94. 1 indexed citations
20.
Yu, Anzhu, et al.. (2012). A hyperspectral image fusion algorithm based on Compressive Sensing. 1–4. 3 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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