Ling Gao

1.2k total citations
79 papers, 769 citations indexed

About

Ling Gao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Ling Gao has authored 79 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 21 papers in Artificial Intelligence and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Ling Gao's work include Caching and Content Delivery (12 papers), Network Security and Intrusion Detection (9 papers) and IoT and Edge/Fog Computing (8 papers). Ling Gao is often cited by papers focused on Caching and Content Delivery (12 papers), Network Security and Intrusion Detection (9 papers) and IoT and Edge/Fog Computing (8 papers). Ling Gao collaborates with scholars based in China, United Kingdom and United States. Ling Gao's co-authors include Jie Zheng, Ni Gao, Hai Wang, Jie Ren, Jinye Peng, Zheng Wang, Siyuan Wang, Kai Hu, Wei Yu and Ning Zhou and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ling Gao

68 papers receiving 725 citations

Peers

Ling Gao
Seung-Hyun Seo South Korea
Ming Yang China
Lu Zhou China
Abbas Acar United States
Ling Gao
Citations per year, relative to Ling Gao Ling Gao (= 1×) peers Xiaochun Yin

Countries citing papers authored by Ling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Gao. A scholar is included among the top collaborators of Ling Gao 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 Ling Gao. Ling Gao 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.
Zheng, Jie, Hongyang Du, Haijun Zhang, et al.. (2025). Trust Online Over-the-Air Computation for Wireless Federated Learning. IEEE Transactions on Mobile Computing. 24(8). 7152–7170.
2.
Zheng, Jie, et al.. (2025). Generative AI-Aided Multimodal Parallel Offloading for AIGC Metaverse Service in IoT Networks. IEEE Internet of Things Journal. 12(10). 13273–13285. 2 indexed citations
3.
Jiao, Long, et al.. (2024). Resource allocation in RISs-assisted UAV-enabled MEC network with computation capacity improvement. Computer Communications. 228. 107953–107953.
4.
Zheng, Jie, Hai Wang, Ling Gao, et al.. (2024). Online Learning to parallel offloading in heterogeneous wireless networks. Computer Communications. 218. 253–262. 1 indexed citations
5.
Cao, Rui, et al.. (2023). DictPrompt: Comprehensive dictionary-integrated prompt tuning for pre-trained language model. Knowledge-Based Systems. 273. 110605–110605. 7 indexed citations
6.
Gao, Ling, et al.. (2022). A Blockchain-Based Location Privacy-Preserving Scheme in Location-Based Service. Mobile Information Systems. 2022. 1–16. 8 indexed citations
7.
Ren, Jie, et al.. (2022). Adaptive Model Selection for Video Super Resolution. 1088–1094.
8.
Wang, Hai, Hongbo Guo, Yun Zhang, Ling Gao, & Jie Zheng. (2022). Automatic sleep staging method of EEG signal based on transfer learning and fusion network. Neurocomputing. 488. 183–193. 26 indexed citations
9.
Guo, Hongbo, et al.. (2020). Sparse‐graph manifold learning method for bioluminescence tomography. Journal of Biophotonics. 13(4). e201960218–e201960218. 14 indexed citations
10.
Gao, Ni, et al.. (2016). Dynamic Security Risk Assessment Model Based on Bayesian Attack Graph. 48(1). 118. 8 indexed citations
11.
Ren, Jie, Ling Gao, Hai Wang, & Yan Chen. (2015). A Method of Power Aware Large Data Download on Smartphone. IEICE Transactions on Information and Systems. E98.D(1). 131–139.
12.
Sun, Qian, et al.. (2013). A Dynamic Polling Strategy Based on Prediction Model for Large-Scale Network Monitoring. 23. 8–13. 1 indexed citations
13.
Ren, Jie, Ling Gao, Hai Wang, & Yijie Lu. (2012). Research on low power application software in Linux system. 949–954. 1 indexed citations
14.
Song, Hongjun & Ling Gao. (2012). Use ORM Middleware Realize Heterogeneous Database Connectivity. 1–4. 1 indexed citations
15.
Gao, Ling, et al.. (2011). The study of semantic query expansion based on improved vector space model. 12. 342–344. 2 indexed citations
17.
Zhao, Pengpeng, et al.. (2007). Deep Web Sources Focused Crawling.. 95–99. 1 indexed citations
18.
Gao, Ling. (2006). Network Measurement and Its Key Technologies. Computer Technology and Development.
19.
Huang, Heng, Fillia Makedon, James Ford, et al.. (2005). Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images. PubMed. 4. 3250–3253. 1 indexed citations
20.
Huang, Heng, et al.. (2004). 1116-14 Three-dimensional analysis of cardiac magnetic resonance imaging the using spherical harmonics model. Journal of the American College of Cardiology. 43(5). A23–A23. 2 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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