Ke Luo

2.4k total citations · 1 hit paper
22 papers, 1.5k citations indexed

About

Ke Luo is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Ke Luo has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Artificial Intelligence. Recurrent topics in Ke Luo's work include IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (3 papers) and Age of Information Optimization (3 papers). Ke Luo is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (3 papers) and Age of Information Optimization (3 papers). Ke Luo collaborates with scholars based in China, United States and India. Ke Luo's co-authors include Zhi Zhou, Xu Chen, Liekang Zeng, Junshan Zhang, En Li, Shuai Yu, Xiaoxi Zhang, Xu Chen, Jie Wu and Rajiv Pandey and has published in prestigious journals such as Proceedings of the IEEE, Remote Sensing and IEEE Internet of Things Journal.

In The Last Decade

Ke Luo

20 papers receiving 1.5k citations

Hit Papers

Edge Intelligence: Paving the Last Mile of Artificial Int... 2019 2026 2021 2023 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing
    2019 1.4k citations Zhi Zhou, Xu Chen et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ke Luo China 8 817 516 456 380 242 22 1.5k
Xueqiang Yan China 9 679 0.8× 392 0.8× 356 0.8× 254 0.7× 217 0.9× 22 1.2k
Xukan Ran United States 7 643 0.8× 383 0.7× 333 0.7× 671 1.8× 143 0.6× 9 1.5k
Jiasi Chen United States 16 866 1.1× 411 0.8× 530 1.2× 920 2.4× 158 0.7× 51 2.0k
Penglin Dai China 24 937 1.1× 462 0.9× 583 1.3× 264 0.7× 293 1.2× 69 1.8k
Liangkai Liu United States 13 563 0.7× 246 0.5× 466 1.0× 408 1.1× 225 0.9× 29 1.3k
Ricky Y. K. Kwok Hong Kong 15 1.2k 1.4× 385 0.7× 669 1.5× 260 0.7× 471 1.9× 18 1.9k
Liekang Zeng China 11 1.4k 1.8× 844 1.6× 753 1.7× 760 2.0× 353 1.5× 33 2.5k
Xianjun Deng China 24 648 0.8× 278 0.5× 458 1.0× 128 0.3× 139 0.6× 96 1.2k
Jinke Ren China 16 1.4k 1.7× 520 1.0× 840 1.8× 277 0.7× 363 1.5× 38 1.9k
Xianfu Chen Finland 19 1.2k 1.5× 301 0.6× 809 1.8× 200 0.5× 244 1.0× 33 1.7k

Countries citing papers authored by Ke Luo

Since Specialization
Citations

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

Fields of papers citing papers by Ke Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Ke Luo. A scholar is included among the top collaborators of Ke Luo 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 Ke Luo. Ke Luo 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.
Ji, Wei, et al.. (2025). Review on computer vision-based inspection and monitoring for bridge cables. Measurement. 248. 116892–116892. 6 indexed citations
2.
Lu, Linlin, Shiqing Wang, Wenjin Wu, et al.. (2024). Monitoring Land Use Changes in the Yellow River Delta Using Multi-Temporal Remote Sensing Data and Machine Learning from 2000 to 2020. Remote Sensing. 16(11). 1946–1946. 15 indexed citations
3.
Luo, Ke, Tao Ouyang, Xiaoxi Zhang, et al.. (2024). Efficient Coordination of Federated Learning and Inference Offloading at the Edge: A Proactive Optimization Paradigm. IEEE Transactions on Mobile Computing. 24(1). 407–421. 1 indexed citations
4.
5.
Wang, Hao, et al.. (2023). Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading. 2173–2178. 2 indexed citations
6.
Luo, Ke, Tao Ouyang, Zhi Zhou, & Xu Chen. (2023). BeeFlow: Behavior tree-based Serverless workflow modeling and scheduling for resource-constrained edge clusters. Journal of Systems Architecture. 143. 102968–102968. 1 indexed citations
7.
Zeng, Liekang, et al.. (2023). Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services. IEEE/ACM Transactions on Networking. 32(1). 550–565. 6 indexed citations
8.
Zeng, Liekang, et al.. (2022). Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training. 1–11. 8 indexed citations
9.
Zeng, Liekang, et al.. (2022). Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. Proceedings of the ACM Web Conference 2022. 1774–1784. 12 indexed citations
10.
Wang, Haibo, et al.. (2021). IOU-Guided Siamese Tracking. Mathematical Problems in Engineering. 2021. 1–10. 2 indexed citations
11.
Zeng, Liekang, et al.. (2021). ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing. 242–247. 11 indexed citations
12.
13.
Xu, Haoyan, Runjian Chen, Yunsheng Bai, et al.. (2020). Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.. arXiv (Cornell University). 2 indexed citations
14.
15.
Kou, Qiqi, et al.. (2020). Geometry-based Completed Local Binary Pattern for Texture Image Classification. 274–278. 5 indexed citations
16.
Zhou, Zhi, Xu Chen, En Li, et al.. (2019). Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing. Proceedings of the IEEE. 107(8). 1738–1762. 1385 indexed citations breakdown →
17.
Luo, Ke, et al.. (2018). A D2D offloading approach to efficient mobile edge resource pooling. 1–6. 8 indexed citations
18.
Luo, Ke, et al.. (2018). ERP: Edge Resource Pooling for Data Stream Mobile Computing. IEEE Internet of Things Journal. 6(3). 4355–4368. 27 indexed citations
19.
Luo, Ke, Zhiyang Jia, & Wei Gao. (2012). Strong and weak stability of randomized learning algorithms. 887–891. 2 indexed citations
20.
Luo, Ke & Jie Wu. (2004). A new method to mine valid association rules. 23. 88–93. 3 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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