Xi Cheng

511 total citations
20 papers, 396 citations indexed

About

Xi Cheng is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xi Cheng has authored 20 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Media Technology, 7 papers in Atmospheric Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xi Cheng's work include Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Xi Cheng is often cited by papers focused on Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (7 papers) and Advanced Chemical Sensor Technologies (6 papers). Xi Cheng collaborates with scholars based in China, Italy and Germany. Xi Cheng's co-authors include Min Zhang, Sheng Lin, Hai Wang, Liang Wang, Yunsong Li, Gong Cheng, Liying Jiang, Xiwen Yao, Xiaoliang Qian and Paolo Gamba and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Internet of Things Journal.

In The Last Decade

Xi Cheng

19 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Cheng China 12 261 137 94 79 74 20 396
Xiaohua Zhang China 11 251 1.0× 188 1.4× 73 0.8× 99 1.3× 70 0.9× 36 456
Xiaobin Zhao China 12 275 1.1× 117 0.9× 58 0.6× 86 1.1× 94 1.3× 37 443
Di You China 10 231 0.9× 146 1.1× 43 0.5× 166 2.1× 32 0.4× 15 408
Hamid Reza Shahdoosti Iran 13 510 2.0× 453 3.3× 66 0.7× 55 0.7× 42 0.6× 30 687
Milica Orlandić Norway 10 107 0.4× 123 0.9× 39 0.4× 40 0.5× 138 1.9× 45 398
Qinglei Du China 11 253 1.0× 126 0.9× 54 0.6× 134 1.7× 243 3.3× 40 555
Xianchang Yang China 10 259 1.0× 105 0.8× 79 0.8× 115 1.5× 37 0.5× 12 357
Yishu Peng China 13 386 1.5× 173 1.3× 88 0.9× 188 2.4× 32 0.4× 31 561
Junzheng Wu China 11 213 0.8× 249 1.8× 109 1.2× 103 1.3× 131 1.8× 23 524
Chein‐I Chang United States 8 156 0.6× 95 0.7× 48 0.5× 71 0.9× 32 0.4× 16 270

Countries citing papers authored by Xi Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Xi Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Cheng. A scholar is included among the top collaborators of Xi Cheng 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 Xi Cheng. Xi Cheng 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.
Cheng, Xi, et al.. (2025). Prototype-Guided Spatial–Spectral Interaction Network for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17. 7 indexed citations
2.
Zhang, Min, et al.. (2025). Multiview Graph Neural Networks for Spectrum Sensing in Cognitive Radio. IEEE Internet of Things Journal. 12(15). 29495–29513.
3.
Zhang, Min, et al.. (2024). SCM-GNN: A Graph Neural Network-Based Multi-Antenna Spectrum Sensing in Cognitive Radio. IEEE Transactions on Cognitive Communications and Networking. 11(1). 127–144. 3 indexed citations
4.
Cheng, Xi, et al.. (2024). Deep Feature Aggregation Network for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 43 indexed citations
5.
Dong, Youqiang, et al.. (2024). Remote Sensing Image Denoising Based on Feature Interaction Complementary Learning. Remote Sensing. 16(20). 3820–3820. 2 indexed citations
6.
Cheng, Xi, et al.. (2024). Hyperspectral Anomaly Detection via Low-Rank Representation with Dual Graph Regularizations and Adaptive Dictionary. Remote Sensing. 16(11). 1837–1837. 4 indexed citations
7.
Lin, Sheng, et al.. (2024). Low-Rank and Sparse Representation Inspired Interpretable Network for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 17 indexed citations
8.
Cheng, Xi, et al.. (2024). Memory-Augmented Autoencoder With Adaptive Reconstruction and Sample Attribution Mining for Hyperspectral Anomaly Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 26 indexed citations
9.
Lin, Sheng, et al.. (2023). Dual-GAN Complementary Learning for Real-World Image Denoising. IEEE Sensors Journal. 24(1). 355–366. 8 indexed citations
10.
Cheng, Xi, et al.. (2023). Two-Stream Isolation Forest Based on Deep Features for Hyperspectral Anomaly Detection. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 39 indexed citations
11.
Zhang, Min, et al.. (2023). Arbitrary-Oriented Ellipse Detector for Ship Detection in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 7151–7162. 13 indexed citations
12.
Cheng, Xi, Min Zhang, Sheng Lin, Yunsong Li, & Hai Wang. (2023). Deep Self-Representation Learning Framework for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 34 indexed citations
13.
Lin, Sheng, et al.. (2023). Hyperspectral Anomaly Detection Using Spatial–Spectral-Based Union Dictionary and Improved Saliency Weight. Remote Sensing. 15(14). 3609–3609. 7 indexed citations
14.
Lin, Sheng, Min Zhang, Xi Cheng, et al.. (2023). Dynamic Low-Rank and Sparse Priors Constrained Deep Autoencoders for Hyperspectral Anomaly Detection. IEEE Transactions on Instrumentation and Measurement. 73. 1–18. 37 indexed citations
15.
Lin, Sheng, et al.. (2022). Hyperspectral Anomaly Detection via Sparse Representation and Collaborative Representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 946–961. 35 indexed citations
16.
Cheng, Xi, et al.. (2022). Multiscale Superpixel Guided Discriminative Forest for Hyperspectral Anomaly Detection. Remote Sensing. 14(19). 4828–4828. 13 indexed citations
17.
Lin, Sheng, et al.. (2022). Dual Collaborative Constraints Regularized Low-Rank and Sparse Representation via Robust Dictionaries Construction for Hyperspectral Anomaly Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 2009–2024. 34 indexed citations
18.
Lin, Sheng, et al.. (2022). Hyperspectral Anomaly Detection via Dual Dictionaries Construction Guided by Two-Stage Complementary Decision. Remote Sensing. 14(8). 1784–1784. 32 indexed citations
19.
Qian, Xiaoliang, Xi Cheng, Gong Cheng, Xiwen Yao, & Liying Jiang. (2021). Two-Stream Encoder GAN With Progressive Training for Co-Saliency Detection. IEEE Signal Processing Letters. 28. 180–184. 36 indexed citations
20.
Cheng, Xi, Sergey Tulyakov, & Venu Govindaraju. (2013). Minutiae-Based Matching State Model for Combinations in Fingerprint Matching System. 92–97. 6 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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