Tan Guo

1.9k total citations · 1 hit paper
63 papers, 1.4k citations indexed

About

Tan Guo is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tan Guo has authored 63 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Media Technology, 20 papers in Computer Vision and Pattern Recognition and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Tan Guo's work include Remote-Sensing Image Classification (32 papers), Face and Expression Recognition (10 papers) and Advanced Chemical Sensor Technologies (7 papers). Tan Guo is often cited by papers focused on Remote-Sensing Image Classification (32 papers), Face and Expression Recognition (10 papers) and Advanced Chemical Sensor Technologies (7 papers). Tan Guo collaborates with scholars based in China, Australia and Japan. Tan Guo's co-authors include Fulin Luo, Keping Yu, Liu Yang, Yinzhi Lu, Xiuwen Gong, Lei Zhang, Simon X. Yang, Xiaocheng Zhou, Xiaoheng Tan and Tianyuan Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Tan Guo

55 papers receiving 1.3k citations

Hit Papers

Multiscale Diff-Changed Feature Fusion Network for Hypers... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tan Guo China 20 514 334 280 279 255 63 1.4k
Amit Banerjee United States 18 618 1.2× 414 1.2× 253 0.9× 252 0.9× 137 0.5× 75 1.4k
Mingyang Zhang China 27 1.1k 2.2× 515 1.5× 109 0.4× 512 1.8× 97 0.4× 118 2.0k
Peng Gong China 15 202 0.4× 177 0.5× 559 2.0× 281 1.0× 275 1.1× 104 1.2k
Kewen Xia China 20 113 0.2× 272 0.8× 131 0.5× 353 1.3× 258 1.0× 126 1.3k
Jun Sun China 22 420 0.8× 1.1k 3.2× 310 1.1× 436 1.6× 299 1.2× 203 2.0k
Driss Aboutajdine Morocco 19 185 0.4× 797 2.4× 588 2.1× 381 1.4× 505 2.0× 293 2.1k
Yang Lu China 20 233 0.5× 577 1.7× 61 0.2× 463 1.7× 100 0.4× 106 1.3k
Zhaowei Shang China 17 564 1.1× 730 2.2× 101 0.4× 273 1.0× 51 0.2× 88 1.5k
Nikos Deligiannis Belgium 19 132 0.3× 553 1.7× 340 1.2× 222 0.8× 469 1.8× 150 1.6k
Yu Bai United States 16 169 0.3× 151 0.5× 108 0.4× 209 0.7× 211 0.8× 69 916

Countries citing papers authored by Tan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Tan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Guo. A scholar is included among the top collaborators of Tan Guo 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 Tan Guo. Tan Guo 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.
Xu, Rui, et al.. (2025). MDGF-CD: Land-cover change detection with multi-level DiffFormer feature grouping fusion for VHR remote sensing images. Information Fusion. 120. 103110–103110. 2 indexed citations
2.
Luo, Fulin, et al.. (2025). SCMVC: Semantic Constraint-Based Spatial–Spectral Multiview Clustering for Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13.
3.
Luo, Fulin, Xi Chen, Tan Guo, et al.. (2025). DSMT: Dual-Stage Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging. IEEE Transactions on Image Processing. 34. 2473–2486. 1 indexed citations
4.
Luo, Fulin, et al.. (2025). MAGS: Max-Gap Loss-Guided Siamese-Reconstruction Network for Hyperspectral Image Partial Label Learning. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 2 indexed citations
5.
Luo, Fulin, et al.. (2025). SelfMTL: Self-Supervised Meta-Transfer Learning via Contrastive Representation for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 4 indexed citations
6.
Luo, Fulin, et al.. (2025). SWCD: Toward Accurate Change Detection via Similarity-Awareness Weakly Supervised Learning. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–16.
7.
Guo, Tan, Ying Gao, Fulin Luo, et al.. (2025). DENet: Direction and Edge Co-Awareness Network for Road Extraction From High-Resolution Remote Sensing Imagery. IEEE Transactions on Intelligent Transportation Systems. 26(7). 10236–10249. 2 indexed citations
8.
Luo, Fulin, et al.. (2025). HDiff-HIR: Hierarchically Conditional Diffusion Model for Hyperspectral Image Reconstruction. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 777–791.
9.
Luo, Fulin, et al.. (2025). MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local–Global Directional-MLP With Multiresolution Multiscale Representation. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–14. 3 indexed citations
10.
Luo, Fulin, et al.. (2024). AGMS: Adversarial Sample Generation-Based Multiscale Siamese Network for Hyperspectral Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 6 indexed citations
11.
Luo, Fulin, Yi Liu, Xiuwen Gong, Zhixiong Nan, & Tan Guo. (2024). EMVCC: Enhanced Multi-View Contrastive Clustering for Hyperspectral Images. 6288–6296. 7 indexed citations
12.
Liu, Jiamin, et al.. (2024). ESMS-Net: Enhancing Semantic-Mask Segmentation Network With Pyramid Atrousformer for Remote Sensing Image. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–14. 1 indexed citations
13.
Luo, Fulin, et al.. (2024). STMNet: Single-Temporal Mask-Based Network for Self-Supervised Hyperspectral Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–12. 4 indexed citations
14.
Guo, Tan, et al.. (2024). Anomaly Detection of Hyperspectral Image by Coarse-to-Fine Tensor Two-Level Decomposition. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 1 indexed citations
15.
Guo, Tan, et al.. (2023). Hyperspectral Target Detection With Target Prior Augmentation and Background Suppression-Based Multidetector Fusion. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 1765–1780. 7 indexed citations
16.
Yang, Liu, Yinzhi Lu, Simon X. Yang, Tan Guo, & Zhifang Liang. (2020). A Secure Clustering Protocol With Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks. IEEE Transactions on Industrial Informatics. 17(7). 4837–4847. 47 indexed citations
17.
Guo, Zhiwei, et al.. (2020). Deep Graph neural network-based spammer detection under the perspective of heterogeneous cyberspace. Future Generation Computer Systems. 117. 205–218. 79 indexed citations
18.
Guo, Tan, et al.. (2018). Learning Robust Weighted Group Sparse Graph for Discriminant Visual Analysis. Neural Processing Letters. 49(1). 203–226. 8 indexed citations
19.
Guo, Tan, et al.. (2016). Robust Face Recognition via Occlusion Detection and Masking. SHILAP Revista de lepidopterología. 44. 1039–1039. 3 indexed citations
20.
Guo, Tan. (2002). Research of generalized neural network and it′s application to traffic flow prediction. Kongzhi yu juece.

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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