Xiucheng Wang

1.1k total citations · 1 hit paper
40 papers, 694 citations indexed

About

Xiucheng Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xiucheng Wang has authored 40 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Xiucheng Wang's work include IoT and Edge/Fog Computing (8 papers), UAV Applications and Optimization (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Xiucheng Wang is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), UAV Applications and Optimization (5 papers) and Privacy-Preserving Technologies in Data (4 papers). Xiucheng Wang collaborates with scholars based in China, Canada and Hong Kong. Xiucheng Wang's co-authors include Nan Cheng, Zhisheng Yin, Xiaoxia Zhang, Jusheng Gao, Xiaotong Ma, Cai-Wen Zhang, Kai Feng, Ye Deng, Fenliang Fan and Ruijie Zhang and has published in prestigious journals such as Soil Biology and Biochemistry, IEEE Journal on Selected Areas in Communications and Journal of Affective Disorders.

In The Last Decade

Xiucheng Wang

33 papers receiving 683 citations

Hit Papers

AI for UAV-Assisted IoT Applications: A Comprehensive Review 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
Xiucheng Wang China 13 185 167 154 131 118 40 694
Nahina Islam Australia 11 386 2.1× 197 1.2× 96 0.6× 169 1.3× 25 0.2× 26 877
Shen Gao China 13 95 0.5× 158 0.9× 52 0.3× 182 1.4× 50 0.4× 44 515
Jianhui Huang China 14 29 0.2× 168 1.0× 63 0.4× 84 0.6× 45 0.4× 56 715
Juan Antonio López Spain 15 431 2.3× 296 1.8× 24 0.2× 248 1.9× 83 0.7× 31 1.0k
Zhangliang Chen China 10 96 0.5× 54 0.3× 31 0.2× 88 0.7× 52 0.4× 25 428
Zhengrui Huang China 5 62 0.3× 68 0.4× 112 0.7× 57 0.4× 92 0.8× 12 327
Chan‐Won Park South Korea 12 155 0.8× 45 0.3× 27 0.2× 94 0.7× 37 0.3× 133 570
Martin Weis Germany 14 343 1.9× 43 0.3× 23 0.1× 57 0.4× 34 0.3× 25 728
Yue Xi China 15 218 1.2× 19 0.1× 65 0.4× 37 0.3× 71 0.6× 48 782
Lixue Zhu China 11 314 1.7× 59 0.4× 89 0.6× 41 0.3× 11 0.1× 25 624

Countries citing papers authored by Xiucheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiucheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiucheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiucheng Wang. A scholar is included among the top collaborators of Xiucheng Wang 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 Xiucheng Wang. Xiucheng Wang 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, Nan, Yanpeng Dai, Xiucheng Wang, et al.. (2025). Mixture of Gradient: A Unified Enhancing Approach for Deep-Learning-Based Wireless Network Optimization. IEEE Internet of Things Journal. 12(13). 25487–25499.
2.
Wang, Xiucheng, Nan Cheng, Ruijin Sun, et al.. (2025). RadioDiff- k 2 : Helmholtz Equation Informed Generative Diffusion Model for Multi-Path Aware Radio Map Construction. IEEE Journal on Selected Areas in Communications. 44. 2318–2333.
3.
Zhang, Junjie, Nan Cheng, Fupeng Li, et al.. (2025). Symmetry breaking in neural network optimization: insights from input dimension expansion. 1(1).
4.
Dai, Yanpeng, Ling Lyu, Nan Cheng, et al.. (2024). A Survey of Graph-Based Resource Management in Wireless Networks—Part I: Optimization Approaches. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2078–2100. 3 indexed citations
5.
Wang, Xiucheng, et al.. (2024). GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network. IEEE Internet of Things Journal. 11(21). 34541–34553. 8 indexed citations
6.
Wang, Xiucheng, Nan Cheng, Zhisheng Yin, et al.. (2024). RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction. IEEE Transactions on Cognitive Communications and Networking. 11(2). 738–750. 13 indexed citations
7.
Cheng, Nan, Xiucheng Wang, Zan Li, et al.. (2024). Toward Enhanced Reinforcement Learning-Based Resource Management via Digital Twin: Opportunities, Applications, and Challenges. IEEE Network. 39(1). 189–196. 13 indexed citations
8.
Dai, Yanpeng, Ling Lyu, Nan Cheng, et al.. (2024). A Survey of Graph-Based Resource Management in Wireless Networks—Part II: Learning Approaches. IEEE Transactions on Cognitive Communications and Networking. 11(4). 2101–2122. 8 indexed citations
10.
Cheng, Nan, Xiucheng Wang, Zhisheng Yin, et al.. (2023). AI for UAV-Assisted IoT Applications: A Comprehensive Review. IEEE Internet of Things Journal. 10(16). 14438–14461. 145 indexed citations breakdown →
11.
Cheng, Nan, Conghao Zhou, Xiucheng Wang, et al.. (2023). Dynamic Neural Network-Based Resource Management for Mobile Edge Computing in 6G Networks. IEEE Transactions on Cognitive Communications and Networking. 10(3). 953–967. 13 indexed citations
12.
Cheng, Nan, Xiucheng Wang, Feng Lyu, et al.. (2023). RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity. IEEE Transactions on Mobile Computing. 23(5). 5462–5478. 53 indexed citations
13.
15.
Cheng, Nan, et al.. (2023). Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication. 1–6. 4 indexed citations
16.
Wang, Xiucheng, Nan Cheng, Ruijin Sun, et al.. (2022). Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach. Remote Sensing. 14(17). 4377–4377. 53 indexed citations
17.
Wang, Xiucheng, et al.. (2022). AI for UAV-Assisted IoT Applications : A Comprehensive Review. Preprints.org. 2 indexed citations
18.
Yuan, Hui, Lujun Shen, Xiucheng Wang, et al.. (2022). Feasibility and efficacy of superconducting open-configuration magnetic resonance-guided microwave ablation of malignant liver tumors with real-time imaging sequences. Journal of Cancer Research and Therapeutics. 18(2). 384–390. 1 indexed citations
19.
Ren, Ziyou, et al.. (2022). SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 1 indexed citations
20.
Zeng, Jian, et al.. (2021). Utilization of dynamic transcriptomics analysis for candidate gene mining of 100-seed weight in soybean. ACTA AGRONOMICA SINICA. 47(11). 2121–2133. 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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