Liang Xiao

18.4k total citations · 8 hit papers
403 papers, 13.7k citations indexed

About

Liang Xiao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Liang Xiao has authored 403 papers receiving a total of 13.7k indexed citations (citations by other indexed papers that have themselves been cited), including 200 papers in Electrical and Electronic Engineering, 158 papers in Computer Networks and Communications and 73 papers in Artificial Intelligence. Recurrent topics in Liang Xiao's work include Wireless Communication Security Techniques (56 papers), UAV Applications and Optimization (39 papers) and Security in Wireless Sensor Networks (38 papers). Liang Xiao is often cited by papers focused on Wireless Communication Security Techniques (56 papers), UAV Applications and Optimization (39 papers) and Security in Wireless Sensor Networks (38 papers). Liang Xiao collaborates with scholars based in China, United States and Canada. Liang Xiao's co-authors include H. Vincent Poor, Narayan B. Mandayam, Yadong Li, Xiaozhen Lu, Weihua Zhuang, Huaiyu Dai, Xiaoyue Wan, Di Wu, Dingsheng Wang and Wade Trappe and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Liang Xiao

374 papers receiving 13.4k citations

Hit Papers

Atomic‐Level Modulation of Electronic Density at Cobalt S... 2018 2026 2020 2023 2020 2022 2018 2019 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Xiao China 63 6.1k 5.0k 2.3k 2.3k 1.8k 403 13.7k
Chang Liu China 45 3.1k 0.5× 1.4k 0.3× 1.3k 0.6× 2.1k 0.9× 1.1k 0.7× 574 10.1k
Feifei Gao China 69 12.8k 2.1× 5.6k 1.1× 2.4k 1.1× 1.8k 0.8× 2.2k 1.3× 585 18.9k
Cheng‐Xiang Wang China 74 20.4k 3.3× 6.8k 1.4× 636 0.3× 726 0.3× 1.9k 1.1× 647 24.3k
Abhishek Kumar India 51 2.4k 0.4× 1.3k 0.3× 905 0.4× 2.5k 1.1× 2.0k 1.1× 482 11.5k
Xi Chen China 47 3.9k 0.6× 1.1k 0.2× 909 0.4× 1.6k 0.7× 610 0.3× 533 9.2k
Michael Pecht United States 91 21.6k 3.5× 995 0.2× 510 0.2× 1.8k 0.8× 1.8k 1.0× 1.0k 39.5k
Tao Yu China 54 6.9k 1.1× 1.1k 0.2× 2.0k 0.9× 2.1k 0.9× 712 0.4× 450 11.3k
Yong Tang China 69 4.3k 0.7× 425 0.1× 2.0k 0.9× 1.4k 0.6× 2.9k 1.6× 671 16.8k
Yuanwei Liu United Kingdom 81 20.8k 3.4× 5.4k 1.1× 1.2k 0.5× 1.2k 0.5× 552 0.3× 694 26.4k
Yu Wang China 55 6.5k 1.1× 1.9k 0.4× 197 0.1× 1.9k 0.8× 831 0.5× 664 11.9k

Countries citing papers authored by Liang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xiao. A scholar is included among the top collaborators of Liang Xiao 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 Liang Xiao. Liang Xiao 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.
2.
Xiao, Liang, et al.. (2025). Reinforcement Learning-Based False Data Injection Attacks in Smart Grids. IEEE Transactions on Industrial Informatics. 21(4). 3475–3484. 4 indexed citations
3.
Wang, Hongyi, Wei Liu, Jian Huang, et al.. (2024). Tumor suppressor KEAP1 promotes HSPA9 degradation, controlling mitochondrial biogenesis in breast cancer. Cell Reports. 43(7). 114507–114507. 4 indexed citations
4.
Xiao, Liang, et al.. (2024). Reinforcement-Learning-Based APT Defense for Large-Scale Smart Grids. IEEE Internet of Things Journal. 12(9). 11917–11925. 1 indexed citations
5.
Xiao, Liang, et al.. (2024). Safe Multi-Agent Reinforcement Learning for Wireless Applications Against Adversarial Communications. IEEE Transactions on Information Forensics and Security. 19. 6824–6839. 3 indexed citations
6.
Lin, Yi‐Hsin, et al.. (2023). Orientation fluctuation in liquid crystal lenses. 3(4). 2 indexed citations
7.
8.
Yang, Helin, Sheng Zhang, Arokiaswami Alphones, et al.. (2023). An Advanced Integrated Visible Light Communication and Localization System. IEEE Transactions on Communications. 71(12). 7149–7162. 14 indexed citations
9.
Jiang, Zhuoli, Shaojia Song, Xiaobo Zheng, et al.. (2022). Lattice Strain and Schottky Junction Dual Regulation Boosts Ultrafine Ruthenium Nanoparticles Anchored on a N-Modified Carbon Catalyst for H2 Production. Journal of the American Chemical Society. 144(42). 19619–19626. 241 indexed citations breakdown →
10.
Xiao, Liang, et al.. (2022). Reinforcement Learning Based Network Coding for Drone-Aided Secure Wireless Communications. IEEE Transactions on Communications. 70(9). 5975–5988. 19 indexed citations
11.
Yang, Helin, Jun Zhao, Zehui Xiong, et al.. (2021). Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management. IEEE Journal on Selected Areas in Communications. 39(10). 3144–3159. 219 indexed citations breakdown →
12.
Xiao, Liang, et al.. (2020). Deep-Reinforcement-Learning-Based User Profile Perturbation for Privacy-Aware Recommendation. IEEE Internet of Things Journal. 8(6). 4560–4568. 47 indexed citations
13.
Liu, Kexin, Xiaozhen Lu, Liang Xiao, & Li Xu. (2020). Learning Based Energy Efficient Radar Power Control Against Deceptive Jamming. 1–6. 5 indexed citations
14.
Lu, Xiaozhen, et al.. (2019). Reinforcement Learning-Based Microgrid Energy Trading With a Reduced Power Plant Schedule. IEEE Internet of Things Journal. 6(6). 10728–10737. 87 indexed citations
15.
Xiao, Liang, Donghua Jiang, Dongjin Xu, et al.. (2018). Two-Dimensional Antijamming Mobile Communication Based on Reinforcement Learning. IEEE Transactions on Vehicular Technology. 67(10). 9499–9512. 99 indexed citations
16.
Xiao, Liang, et al.. (2018). Learning-Based PHY-Layer Authentication for Underwater Sensor Networks. IEEE Communications Letters. 23(1). 60–63. 43 indexed citations
17.
Xiao, Liang, Xiaoyue Wan, & Zhu Han. (2017). PHY-Layer Authentication With Multiple Landmarks With Reduced Overhead. IEEE Transactions on Wireless Communications. 17(3). 1676–1687. 130 indexed citations
18.
Xiao, Liang, et al.. (2017). A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning. IEEE Transactions on Information Forensics and Security. 13(1). 35–47. 149 indexed citations
19.
Xiao, Liang, Caixia Xie, Tianhua Chen, Huaiyu Dai, & H. Vincent Poor. (2016). A Mobile Offloading Game Against Smart Attacks. IEEE Access. 4. 2281–2291. 90 indexed citations
20.
Xiao, Liang. (2013). Fuzzy comprehensive evaluation of network survivability based on combinational weight. Systems engineering and electronics. 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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