Xue Fu

1.0k total citations
51 papers, 642 citations indexed

About

Xue Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Xue Fu has authored 51 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Molecular Biology. Recurrent topics in Xue Fu's work include Wireless Signal Modulation Classification (36 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Speech and Audio Processing (7 papers). Xue Fu is often cited by papers focused on Wireless Signal Modulation Classification (36 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Speech and Audio Processing (7 papers). Xue Fu collaborates with scholars based in China, Japan and Germany. Xue Fu's co-authors include Guan Gui, Yu Wang, Haris Gacanin, Fumiyuki Adachi, Yun Lin, Yuchao Liu, Lantu Guo, Hikmet Sari, Yang Peng and Bamidele Adebisi and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and Physics in Medicine and Biology.

In The Last Decade

Xue Fu

46 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xue Fu China	14	464	140	119	101	84	51	642
Hamidullah Binol United States	12	166 0.4×	42 0.3×	55 0.5×	123 1.2×	34 0.4×	33	467
Xiaolin Zhang China	9	274 0.6×	136 1.0×	48 0.4×	252 2.5×	15 0.2×	64	546
Heng Liu China	12	69 0.1×	150 1.1×	96 0.8×	298 3.0×	20 0.2×	41	610
Yuefeng Chen China	13	387 0.8×	34 0.2×	16 0.1×	531 5.3×	109 1.3×	26	853
Osama A. Omer Egypt	12	123 0.3×	120 0.9×	23 0.2×	160 1.6×	15 0.2×	75	494
M. Gorgoń Poland	15	132 0.3×	157 1.1×	54 0.5×	338 3.3×	23 0.3×	51	583
Shuchang Zhou China	13	190 0.4×	67 0.5×	35 0.3×	388 3.8×	17 0.2×	33	662
Xiaomei Qu China	10	223 0.5×	284 2.0×	117 1.0×	13 0.1×	110 1.3×	53	544
Zhiyong Zhang China	10	94 0.2×	27 0.2×	52 0.4×	181 1.8×	48 0.6×	60	356

Countries citing papers authored by Xue Fu

Since Specialization

Citations

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

Fields of papers citing papers by Xue Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xue Fu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shi, Feng, Hong Wan, Xue Fu, et al.. (2025). Enhanced Radio Frequency Fingerprint Identification Using Length-Robust Representation and Incremental Learning. IEEE Internet of Things Journal. 12(10). 14709–14719. 2 indexed citations

Fu, Xue, et al.. (2025). Radio frequency fingerprint identification towards statistical and deep learning features: Review, recent results and future directions. Peer-to-Peer Networking and Applications. 18(3). 5 indexed citations

Liu, Yuchao, Shuguo Xie, Xiao Sun, Xue Fu, & Guan Gui. (2025). Channel-Distortion-Agnostic Specific Emitter Identification Based on Decentralized Learning. IEEE Internet of Things Journal. 12(23). 50584–50593.

Fu, Xue, Yu Wang, Qianyun Zhang, et al.. (2024). Enhanced Few-Shot Specific Emitter Identification via Phase Shift Prediction and Decoupling. IEEE Transactions on Cognitive Communications and Networking. 11(1). 145–155. 7 indexed citations

Fu, Xue, Yu Wang, Yun Lin, et al.. (2024). Toward Robust Open-Set Radiofrequency Signal Identification in Internet of Things Using Hypersphere Manifold Embedding. IEEE Internet of Things Journal. 11(24). 41235–41247. 3 indexed citations

Fu, Xue, et al.. (2024). Radiogenomics based survival prediction of small-sample glioblastoma patients by multi-task DFFSP model. Biomedizinische Technik/Biomedical Engineering. 69(6). 623–633. 1 indexed citations

Fu, Xue, et al.. (2024). Joint Variational Modal Decomposition for Specific Emitter Identification With Multiple Sensors. IEEE Transactions on Information Forensics and Security. 19. 9938–9953.

Fu, Xue, Hao Huang, Shengnan Shi, et al.. (2024). Enhanced Wireless Technology Recognition Method Using Energy-Efficient Spiking Neural Networks. 183–187. 2 indexed citations

Wan, Hong, Qin Wang, Xue Fu, et al.. (2024). VC-SEI: Robust Variable-Channel Specific Emitter Identification Method Using Semi-Supervised Domain Adaptation. IEEE Transactions on Wireless Communications. 23(12). 18228–18239. 7 indexed citations

10.

Peng, Yang, Lantu Guo, Jun Yan, et al.. (2023). Automatic Modulation Classification Using Deep Residual Neural Network with Masked Modeling for Wireless Communications. Drones. 7(6). 390–390. 22 indexed citations

11.

Wang, Zhi, et al.. (2023). Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems. Drones. 7(6). 391–391. 3 indexed citations

12.

Chen, Zhiying, Chunxiao Chen, Xue Fu, et al.. (2023). Unsupervised image-to-image translation in multi-parametric MRI of bladder cancer. Engineering Applications of Artificial Intelligence. 124. 106547–106547. 4 indexed citations

13.

Chen, Chunxiao, Liang Wang, Xue Fu, et al.. (2023). A novel hybrid generative adversarial network for CT and MRI super-resolution reconstruction. Physics in Medicine and Biology. 68(13). 135007–135007. 9 indexed citations

14.

Yin, Lijun, Xue Fu, Shengnan Shi, et al.. (2023). Few-Shot Domain Adaption-Based Specific Emitter Identification Under Varying Modulation. 1439–1443. 5 indexed citations

15.

Fu, Xue, et al.. (2023). Automatic Modulation Classification Based on Decentralized Learning and Model Averaging. 1–5. 1 indexed citations

16.

Wan, Hong, et al.. (2023). Intelligent Specific Emitter Identification Using Complex-Valued Convolutional Neural Network. 1259–1263. 4 indexed citations

17.

Fu, Xue, Yu Wang, Guan Gui, et al.. (2023). Interpolative Metric Learning for Few-Shot Specific Emitter Identification. IEEE Transactions on Vehicular Technology. 72(12). 16851–16855. 20 indexed citations

18.

Fu, Xue, Chunxiao Chen, & Dongsheng Li. (2021). Survival prediction of patients suffering from glioblastoma based on two-branch DenseNet using multi-channel features. International Journal of Computer Assisted Radiology and Surgery. 16(2). 207–217. 15 indexed citations

19.

Fu, Xue, Guan Gui, Yu Wang, et al.. (2021). Lightweight Automatic Modulation Classification Based on Decentralized Learning. IEEE Transactions on Cognitive Communications and Networking. 8(1). 57–70. 65 indexed citations

20.

Tang, Lu, et al.. (2006). Structures of Semantic Networks: Similarities between Semantic Networks and Brain Networks. 93. 356–361. 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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