Lanlan Rui

1.1k total citations
107 papers, 707 citations indexed

About

Lanlan Rui is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Lanlan Rui has authored 107 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Computer Networks and Communications, 30 papers in Information Systems and 29 papers in Artificial Intelligence. Recurrent topics in Lanlan Rui's work include IoT and Edge/Fog Computing (26 papers), Caching and Content Delivery (24 papers) and Opportunistic and Delay-Tolerant Networks (24 papers). Lanlan Rui is often cited by papers focused on IoT and Edge/Fog Computing (26 papers), Caching and Content Delivery (24 papers) and Opportunistic and Delay-Tolerant Networks (24 papers). Lanlan Rui collaborates with scholars based in China, United States and Switzerland. Lanlan Rui's co-authors include Xuesong Qiu, Zhipeng Gao, Hui Guo, Wenjing Li, Shaoyong Guo, Ao Xiong, Weisong Shi, Luoming Meng, Ting Wu and Yijing Lin and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Lanlan Rui

94 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lanlan Rui China 15 492 217 187 129 72 107 707
Weiwei Chen China 17 616 1.3× 328 1.5× 302 1.6× 103 0.8× 51 0.7× 52 906
Yutong Zhou China 10 349 0.7× 182 0.8× 139 0.7× 126 1.0× 40 0.6× 13 552
Xiaoyu Qiu China 9 482 1.0× 183 0.8× 297 1.6× 169 1.3× 64 0.9× 12 711
Utpal Biswas India 16 503 1.0× 191 0.9× 437 2.3× 133 1.0× 35 0.5× 84 781
Long Luo China 14 453 0.9× 274 1.3× 330 1.8× 156 1.2× 37 0.5× 44 759
Vijay Kumar Chaurasiya India 13 287 0.6× 181 0.8× 150 0.8× 124 1.0× 38 0.5× 70 545
Shouzhi Xu China 14 602 1.2× 406 1.9× 141 0.8× 116 0.9× 51 0.7× 58 856
Yuan Xue China 9 565 1.1× 278 1.3× 346 1.9× 207 1.6× 37 0.5× 27 821
Yasir Faheem Pakistan 12 502 1.0× 296 1.4× 115 0.6× 92 0.7× 72 1.0× 24 701
Rida Khatoun France 12 411 0.8× 191 0.9× 197 1.1× 168 1.3× 58 0.8× 41 675

Countries citing papers authored by Lanlan Rui

Since Specialization
Citations

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

Fields of papers citing papers by Lanlan Rui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanlan Rui

This figure shows the co-authorship network connecting the top 25 collaborators of Lanlan Rui. A scholar is included among the top collaborators of Lanlan Rui 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 Lanlan Rui. Lanlan Rui 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.
Wu, Celimuge, et al.. (2025). Multirepresentation Spatial-Temporal Graph Convolutional Networks for Network Traffic Prediction. IEEE Internet of Things Journal. 12(13). 23085–23099.
2.
Chen, Shaoyin, et al.. (2024). Growth-adaptive distillation compressed fusion model for network traffic identification based on IoT cloud–edge collaboration. Ad Hoc Networks. 167. 103676–103676. 1 indexed citations
3.
Rui, Lanlan, et al.. (2024). Resource sharing for collaborative edge learning: A privacy-aware incentive mechanism combined with demand prediction. Computer Networks. 243. 110302–110302. 2 indexed citations
4.
Gao, Zhipeng, et al.. (2023). Lightweight Fault Prediction Method for Edge Networks. IEEE Internet of Things Journal. 11(6). 11117–11136. 2 indexed citations
5.
Lyu, Rui, et al.. (2023). Semisupervised Graph Neural Networks for Traffic Classification in Edge Networks. Discrete Dynamics in Nature and Society. 2023. 1–13. 1 indexed citations
6.
Rui, Lanlan, et al.. (2023). SFC Orchestration Method for Edge Cloud and Central Cloud Collaboration: QoS and Energy Consumption Joint Optimization Combined With Reputation Assessment. IEEE Transactions on Parallel and Distributed Systems. 34(10). 2735–2748. 5 indexed citations
7.
Gao, Zhipeng, et al.. (2023). A Network Traffic Classification Method Based on Dual-Mode Feature Extraction and Hybrid Neural Networks. IEEE Transactions on Network and Service Management. 20(4). 4073–4084. 19 indexed citations
8.
Rui, Lanlan, et al.. (2023). A multi-keyword searchable encryption sensitive data trusted sharing scheme in multi-user scenario. Computer Networks. 237. 110045–110045. 6 indexed citations
9.
Rui, Lanlan, et al.. (2023). An Intersection-Based QoS Routing for Vehicular Ad Hoc Networks With Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9068–9083. 15 indexed citations
10.
Guo, Hui, Lanlan Rui, & Zhipeng Gao. (2022). V2V Task Offloading Algorithm with LSTM-based Spatiotemporal Trajectory Prediction Model in SVCNs. IEEE Transactions on Vehicular Technology. 71(10). 11017–11032. 41 indexed citations
11.
Rui, Lanlan, et al.. (2022). Smart Network Maintenance in an Edge Cloud Computing Environment: An Adaptive Model Compression Algorithm Based on Model Pruning and Model Clustering. IEEE Transactions on Network and Service Management. 19(4). 4165–4175. 10 indexed citations
12.
Lin, Yijing, et al.. (2022). A Novel Architecture Combining Oracle With Decentralized Learning for IIoT. IEEE Internet of Things Journal. 10(5). 3774–3785. 27 indexed citations
13.
Rui, Lanlan, et al.. (2022). Content Collaborative Caching Strategy in the Edge Maintenance of Communication Network: A Joint Download Delay and Energy Consumption Method. IEEE Transactions on Parallel and Distributed Systems. 33(12). 4148–4163. 4 indexed citations
14.
Rui, Lanlan, et al.. (2022). Cache-Assisted Collaborative Task Offloading and Resource Allocation Strategy: A Metareinforcement Learning Approach. IEEE Internet of Things Journal. 9(20). 19823–19842. 31 indexed citations
15.
Rui, Lanlan, et al.. (2021). SDNDefender: A Comprehensive DDoS Defense Mechanism Using Hybrid Approaches over Software Defined Networking. Security and Communication Networks. 2021. 1–22. 2 indexed citations
16.
Rui, Lanlan, Menglei Zhang, Zhipeng Gao, et al.. (2021). Service migration in multi-access edge computing: A joint state adaptation and reinforcement learning mechanism. Journal of Network and Computer Applications. 183-184. 103058–103058. 13 indexed citations
17.
Rui, Lanlan, et al.. (2020). Petri Net-Based Reliability Assessment and Migration Optimization Strategy of SFC. IEEE Transactions on Network and Service Management. 18(1). 167–181. 24 indexed citations
18.
Rui, Lanlan, et al.. (2020). CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder. IEEE Transactions on Industrial Informatics. 17(5). 3620–3629. 10 indexed citations
19.
Rui, Lanlan, et al.. (2019). Computation Offloading in a Mobile Edge Communication Network: A Joint Transmission Delay and Energy Consumption Dynamic Awareness Mechanism. IEEE Internet of Things Journal. 6(6). 10546–10559. 23 indexed citations
20.
Guo, Shaoyong, Lanlan Rui, Xuesong Qiu, & Luoming Meng. (2012). An effective cooperation mechanism among multi-devices in ubiquitous network. 199–203.

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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