Xiaohuan Li

1.6k total citations
101 papers, 1.1k citations indexed

About

Xiaohuan Li is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Xiaohuan Li has authored 101 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 24 papers in Computer Networks and Communications and 20 papers in Computational Theory and Mathematics. Recurrent topics in Xiaohuan Li's work include Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (16 papers) and Advanced MIMO Systems Optimization (9 papers). Xiaohuan Li is often cited by papers focused on Optimization and Variational Analysis (20 papers), Advanced Optimization Algorithms Research (16 papers) and Advanced MIMO Systems Optimization (9 papers). Xiaohuan Li collaborates with scholars based in China, Vietnam and United States. Xiaohuan Li's co-authors include Qiao‐Li Dong, Rong Yu, Yekini Shehu, Chunhai Li, Xumin Huang, Duong Viet Thong, Feng Zhao, Hongbin Chen, Bin‐Jie Hu and Lei Shu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Xiaohuan Li

95 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaohuan Li 275 275 242 175 103 101 1.1k
Ahmed Alsaedi 120 0.4× 449 1.6× 110 0.5× 31 0.2× 22 0.2× 88 2.8k
Ke Shi 218 0.8× 149 0.5× 13 0.1× 43 0.2× 34 0.3× 89 909
Yi Sun‡ 153 0.6× 543 2.0× 21 0.1× 51 0.3× 23 0.2× 114 1.1k
L.F.P. Etman 47 0.2× 154 0.6× 503 2.1× 121 0.7× 43 0.4× 83 1.4k
Adam� Zielonka 82 0.3× 134 0.5× 43 0.2× 56 0.3× 22 0.2× 60 584
Goran Konjevod 704 2.6× 356 1.3× 339 1.4× 4 0.0× 31 0.3× 49 1.5k
Shuqiang Huang 126 0.5× 200 0.7× 53 0.2× 42 0.2× 18 0.2× 49 533
Giacomo Nannicini 56 0.2× 69 0.3× 144 0.6× 45 0.3× 20 0.2× 41 634
Shi‐Chung Chang 160 0.6× 392 1.4× 270 1.1× 19 0.1× 52 0.5× 141 1.5k

Countries citing papers authored by Xiaohuan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohuan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohuan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohuan Li. A scholar is included among the top collaborators of Xiaohuan Li 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 Xiaohuan Li. Xiaohuan Li 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.
Zhang, Zirui, Siming Wang, Dongdong Ye, et al.. (2025). Leveraging LLMs in Cloud–Edge Networks for Traffic Risk Prediction and Accident Severity Analysis. IEEE Transactions on Network Science and Engineering. 13. 438–453. 1 indexed citations
2.
Li, Shuhong, et al.. (2025). A novel energy saving framework based on optimal chiller loading and parameter optimization for HVAC: A case study for subway station. Journal of Building Engineering. 101. 111887–111887. 4 indexed citations
3.
Li, Xiaohuan, Jiawen Kang, Ye Jin, et al.. (2025). Meta-Computing Enhanced Federated Learning in IIoT: Satisfaction-Aware Incentive Scheme via DRL-Based Stackelberg Game. IEEE Transactions on Network and Service Management. 23. 1356–1368. 1 indexed citations
4.
Wang, Jiacheng, et al.. (2025). DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multiagent Reinforcement Learning Approach. IEEE Internet of Things Journal. 12(10). 13340–13352. 2 indexed citations
5.
Dong, Huihui, et al.. (2025). Dynamic Bilinear Fusion Network for Synthetic Aperture Radar Image Change Detection. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations
6.
He, Jiayi, et al.. (2025). Mixture of Experts-Based Semantic Communication for Secure Artificial Intelligence of Things. IEEE Transactions on Vehicular Technology. 75(2). 3324–3329.
7.
Wang, Jiacheng, et al.. (2025). Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-Agent Reinforcement Learning. IEEE Transactions on Mobile Computing. 25(1). 627–643. 2 indexed citations
8.
Thong, Duong Viet, et al.. (2024). A new approach to the Korpelevich method for solving pseudomonotone equilibrium problems. Numerical Algorithms. 98(2). 719–741. 2 indexed citations
9.
Li, Xiaohuan, et al.. (2024). Environmental Regulations, Green Marketing, and Consumers’ Green Product Purchasing Intention: Evidence from China. Sustainability. 16(20). 8987–8987. 2 indexed citations
10.
Zheng, Libo, et al.. (2024). Multi-switch-controlled multi-mode TRFE with a high-linearity ATRSW for 2.4-GHz ISM applications. Microelectronics Journal. 151. 106368–106368.
11.
Li, Xiaohuan, et al.. (2024). Cloud-Edge-End Collaborative Intelligent Service Computation Offloading: A Digital Twin Driven Edge Coalition Approach for Industrial IoT. IEEE Transactions on Network and Service Management. 21(6). 6318–6330. 10 indexed citations
12.
Jin, Ye, et al.. (2024). Adaptive Bitrate Algorithms via Deep Reinforcement Learning With Digital Twins Assisted Trajectory. IEEE Transactions on Network Science and Engineering. 11(4). 3522–3535. 3 indexed citations
13.
Yu, Rong, et al.. (2024). Digital Twin-Empowered Task Assignment in Aerial MEC Network: A Resource Coalition Cooperation Approach With Generative Model. IEEE Transactions on Network Science and Engineering. 12(1). 13–27. 8 indexed citations
14.
Thong, Duong Viet, et al.. (2024). A modified subgradient extragradient method with non-monotonic step sizes for solving quasimonotone variational inequalities. Computational and Applied Mathematics. 43(4). 2 indexed citations
15.
Li, Shuhong, et al.. (2023). Adaptive corrected parameters algorithm applied in cooling load prediction based on black-box model: A case study for subway station. Energy and Buildings. 297. 113429–113429. 14 indexed citations
16.
Li, Xiaohuan, et al.. (2023). Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 10(17). 15362–15375. 49 indexed citations
17.
Li, Xiaohuan, Tian Wang, Fang Liu, & Zhiwen Zhu. (2021). Computer simulation of the nonlinear static behavior of axially functionally graded microtube with porosity. Advances in nano research. 11(4). 437. 3 indexed citations
18.
Li, Xiaohuan, et al.. (2020). Some new iterative algorithms for finding fixed points of nonexpansive mappings. 2(2). 1 indexed citations
19.
Thong, Duong Viet, Xiaohuan Li, Qiao‐Li Dong, Yeol Je Cho, & Themistocles M. Rassias. (2020). A projection and contraction method with adaptive step sizes for solving bilevel pseudo-monotone variational inequality problems. Optimization. 71(7). 2073–2096. 18 indexed citations
20.
Li, Xiaohuan. (2009). Regulation and prevention strategy of military training injury in recruits. 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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