Xiaochuan Sun

544 total citations
37 papers, 379 citations indexed

About

Xiaochuan Sun is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Xiaochuan Sun has authored 37 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Electrical and Electronic Engineering and 11 papers in Computer Networks and Communications. Recurrent topics in Xiaochuan Sun's work include Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (7 papers). Xiaochuan Sun is often cited by papers focused on Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (8 papers) and Neural Networks and Applications (7 papers). Xiaochuan Sun collaborates with scholars based in China and Australia. Xiaochuan Sun's co-authors include Yingqi Li, Guan Gui, Qun Li, Zhigang Li, Tao Li, Yue Huang, Ren Ping Liu, Wei Wei Zhang, Chao Ge and Miao Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

Xiaochuan Sun

31 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochuan Sun China 11 186 129 92 53 36 37 379
Zezhong Zhang China 8 174 0.9× 81 0.6× 155 1.7× 37 0.7× 23 0.6× 29 376
Yingqi Li China 11 174 0.9× 113 0.9× 69 0.8× 46 0.9× 7 0.2× 41 375
Lyes Saad Saoud United Arab Emirates 12 118 0.6× 219 1.7× 39 0.4× 70 1.3× 12 0.3× 33 473
Bill G. Horne United States 12 256 1.4× 109 0.8× 64 0.7× 40 0.8× 41 1.1× 28 456
Jie Zeng China 11 83 0.4× 59 0.5× 46 0.5× 94 1.8× 44 1.2× 32 467
C. Moraga Germany 12 237 1.3× 157 1.2× 37 0.4× 38 0.7× 7 0.2× 69 542
Furao Shen China 7 142 0.8× 98 0.8× 42 0.5× 52 1.0× 4 0.1× 21 353
Yajiao Tang China 11 246 1.3× 103 0.8× 34 0.4× 43 0.8× 18 0.5× 16 417

Countries citing papers authored by Xiaochuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochuan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochuan Sun. A scholar is included among the top collaborators of Xiaochuan Sun 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 Xiaochuan Sun. Xiaochuan Sun 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.
Chen, Weibin, et al.. (2025). Multi-scale network for medical image segmentation integrated with edge perception. Biomedical Signal Processing and Control. 112. 108820–108820.
2.
Sun, Xiaochuan, et al.. (2025). Make Power Allocation More Adaptive in Ultra Dense Networks: Priority-Driven Deep Reinforcement Learning via Noise-Perturbations. IEEE Transactions on Wireless Communications. 24(5). 4010–4023. 1 indexed citations
3.
Sun, Xiaochuan, et al.. (2024). Towards efficient RAN slicing: A deep hierarchical reinforcement learning approach. Physical Communication. 66. 102386–102386.
4.
Sun, Xiaochuan, et al.. (2024). Edge-Side Cellular Network Traffic Prediction Based on Trend Graph Characterization Network. IEEE Transactions on Network Science and Engineering. 11(6). 6118–6129. 1 indexed citations
5.
Sun, Xiaochuan, et al.. (2024). Hierarchical Multi-Granularity Joint Source-Channel Coding for Image Semantic Transmission. IEEE Wireless Communications Letters. 13(12). 3325–3329.
6.
Sun, Xiaochuan, et al.. (2024). Detecting Tendency Behavior of Cellular Network Traffic via Ordinal Pattern Transition Networks. IEEE Internet of Things Journal. 11(22). 37231–37245. 1 indexed citations
7.
Li, Zhigang, et al.. (2024). Towards lightweight military object detection. Journal of Intelligent & Fuzzy Systems. 46(4). 10329–10343. 1 indexed citations
8.
Li, Zhigang, Ting Sun, Yu Wang, Yujie Liu, & Xiaochuan Sun. (2023). Spatio-Temporal Analysis of Marine Water Quality Data Based on Cross-Recurrence Plot (CRP) and Cross-Recurrence Quantitative Analysis (CRQA). Entropy. 25(4). 689–689. 1 indexed citations
9.
Sun, Xiaochuan, Jiahui Gao, & Yu Wang. (2023). Towards Fault Tolerance of Reservoir Computing in Time Series Prediction. Information. 14(5). 266–266. 1 indexed citations
10.
Li, Yingqi, et al.. (2023). Modeling Super-Lightweight Cellular Traffic Prediction via Multiservice and Multimodal Feature Fusion Network. IEEE Networking Letters. 6(1). 16–20. 1 indexed citations
11.
Li, Zhigang, et al.. (2023). A lightweight multi-feature fusion structure for automatic modulation classification. Physical Communication. 61. 102170–102170. 4 indexed citations
12.
Li, Zhigang, et al.. (2021). Investigating Neural Activation Effects on Deep Belief Echo-State Networks for Prediction Toward Smart Ocean Environment Monitoring. Arabian Journal for Science and Engineering. 46(4). 3913–3923.
13.
Li, Yingqi, Juan Wang, Xiaochuan Sun, et al.. (2020). Smoothing-Aided Support Vector Machine Based Nonstationary Video Traffic Prediction Towards B5G Networks. IEEE Transactions on Vehicular Technology. 69(7). 7493–7502. 28 indexed citations
14.
Sun, Xiaochuan, et al.. (2020). Toward Self-Adaptive Selection of Kernel Functions for Support Vector Regression in IoT-Based Marine Data Prediction. IEEE Internet of Things Journal. 7(10). 9943–9952. 14 indexed citations
15.
Sun, Xiaochuan, et al.. (2020). Multivariate Seawater Quality Prediction Based on PCA-RVM Supported by Edge Computing Towards Smart Ocean. IEEE Access. 8. 54506–54513. 18 indexed citations
16.
Li, Zhigang, Jialin Wang, Di Cai, et al.. (2020). Smoothed Deep Neural Networks for Marine Sensor Data Prediction. IEEE Access. 8. 22802–22811. 4 indexed citations
17.
Sun, Xiaochuan, Yingqi Li, Guan Gui, & Hikmet Sari. (2019). Echo-State Restricted Boltzmann Machines: A Perspective on Information Compensation. IEEE Access. 7. 16281–16290. 11 indexed citations
18.
Sun, Xiaochuan, Tao Li, Yingqi Li, et al.. (2017). Recurrent neural system with minimum complexity: A deep learning perspective. Neurocomputing. 275. 1333–1349. 12 indexed citations
19.
Xu, Ding, Qun Li, & Xiaochuan Sun. (2014). Resource allocation for chunk-based multi-carrier cognitive radio networks. 445–450. 3 indexed citations
20.
Sun, Xiaochuan, Hongyan Cui, Ren Ping Liu, Jianya Chen, & Yunjie Liu. (2012). Multistep ahead prediction for real-time VBR video traffic using deterministic echo state network. 928–931. 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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