Franck Le

2.6k total citations
76 papers, 1.2k citations indexed

About

Franck Le is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Franck Le has authored 76 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Computer Networks and Communications, 20 papers in Artificial Intelligence and 18 papers in Information Systems. Recurrent topics in Franck Le's work include Software-Defined Networks and 5G (41 papers), Network Traffic and Congestion Control (26 papers) and Caching and Content Delivery (19 papers). Franck Le is often cited by papers focused on Software-Defined Networks and 5G (41 papers), Network Traffic and Congestion Control (26 papers) and Caching and Content Delivery (19 papers). Franck Le collaborates with scholars based in United States, China and United Kingdom. Franck Le's co-authors include Jorge Lobo, Alessandra Russo, Windhya Rankothge, Geoffrey G. Xie, Chuan Wu, Alex X. Liu, Hui Zhang, Eric Keller, Jorge Ortiz and Zongpeng Li and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Knowledge and Data Engineering and IEEE/ACM Transactions on Networking.

In The Last Decade

Franck Le

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Franck Le United States	18	1.1k	314	311	201	152	76	1.2k
Tim Brecht Canada	22	1.0k 1.0×	349 1.1×	363 1.2×	102 0.5×	259 1.7×	78	1.2k
Shashi Guruprasad United States	7	1.4k 1.3×	187 0.6×	347 1.1×	220 1.1×	153 1.0×	8	1.5k
Zoltán Ádám Mann Germany	16	755 0.7×	186 0.6×	555 1.8×	130 0.6×	208 1.4×	75	994
Robert Soulé United States	20	1.8k 1.7×	339 1.1×	645 2.1×	284 1.4×	346 2.3×	57	2.0k
Yungang Bao China	18	964 0.9×	215 0.7×	465 1.5×	212 1.1×	538 3.5×	94	1.2k
Wes Felter United States	9	1.5k 1.4×	250 0.8×	969 3.1×	196 1.0×	231 1.5×	12	1.7k
Kai Bu China	20	589 0.5×	562 1.8×	220 0.7×	185 0.9×	101 0.7×	76	1.1k
Laiping Zhao China	14	529 0.5×	203 0.6×	422 1.4×	103 0.5×	75 0.5×	68	807
Corinna Schmitt Germany	13	887 0.8×	259 0.8×	461 1.5×	328 1.6×	58 0.4×	60	1.2k

Countries citing papers authored by Franck Le

Since Specialization

Citations

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

Fields of papers citing papers by Franck Le

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Le

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Le. A scholar is included among the top collaborators of Franck Le 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 Franck Le. Franck Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Xiang, Qiao, et al.. (2023). Toward Reproducing Network Research Results Using Large Language Models. 56–62. 7 indexed citations

Poularakis, Konstantinos, et al.. (2021). Generalizable and Interpretable Deep Learning for Network Congestion Prediction. 1–10. 10 indexed citations

Xiang, Qiao, Haitao Yu, James Aspnes, et al.. (2021). Optimizing in the Dark: Learning Optimal Network Resource Reservation Through a Simple Request Interface. IEEE/ACM Transactions on Networking. 29(2). 571–584. 1 indexed citations

Xiang, Qiao, Jensen Zhang, Franck Le, & Yufan Yang. (2020). Toward Programmable Interdomain Routing. 16. 22–24.

Duan, Jingpu, et al.. (2019). <italic>NetStar</italic>: A Future/Promise Framework for Asynchronous Network Functions. IEEE Journal on Selected Areas in Communications. 37(3). 600–612. 5 indexed citations

Ma, Liang, et al.. (2019). How Advantageous Is It? An Analytical Study of Controller-Assisted Path Construction in Distributed SDN. IEEE/ACM Transactions on Networking. 27(4). 1643–1656. 4 indexed citations

Ortiz, Jorge, et al.. (2019). DeviceMien. 106–117. 81 indexed citations

Xiang, Qiao, Haitao Yu, James Aspnes, et al.. (2019). Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 1674–1681. 2 indexed citations

Reis, Jo�ão, Miguel Rocha, Truong Khoa Phan, et al.. (2019). Deep Neural Networks for Network Routing. UCL Discovery (University College London). 1–8. 25 indexed citations

10.

Duan, Jingpu, et al.. (2019). <italic>NFVactor</italic>: A Resilient NFV System Using the Distributed Actor Model. IEEE Journal on Selected Areas in Communications. 37(3). 586–599. 11 indexed citations

11.

Xiang, Qiao, Yiheng Liu, Chin Guok, et al.. (2018). Fine-grained, multi-domain network resource abstraction as a fundamental primitive to enable high-performance, collaborative data sciences. IEEE International Conference on High Performance Computing, Data, and Analytics. 5. 3 indexed citations

12.

Ma, Jiefei, et al.. (2018). An Overview of A Load Balancer Architecture for VNF chains Horizontal Scaling. Repositori digital de la UPF (Universitat Pompeu Fabra). 323–327. 6 indexed citations

13.

Keller, Eric, et al.. (2017). Stateless Network Functions: Breaking the Tight Coupling of State and Processing. Networked Systems Design and Implementation. 97–112. 115 indexed citations

14.

Munir, Ali, Zhiyun Qian, Zubair Shafiq, Alex X. Liu, & Franck Le. (2017). Multipath TCP traffic diversion attacks and countermeasures. 1–10. 11 indexed citations

15.

Duan, Jingpu, Chuan Wu, Franck Le, Alex X. Liu, & Yanghua Peng. (2017). Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS. IEEE Journal on Selected Areas in Communications. 35(11). 2501–2511. 25 indexed citations

16.

Ma, Jiefei, Franck Le, Alessandra Russo, & Jorge Lobo. (2016). Declarative Framework for Specification, Simulation and Analysis of Distributed Applications. IEEE Transactions on Knowledge and Data Engineering. 28(6). 1489–1502. 2 indexed citations

17.

Shafiq, Muhammad, Franck Le, Mudhakar Srivatsa, & Alex X. Liu. (2013). Cross-path inference attacks on multipath TCP. 1–7. 11 indexed citations

18.

Le, Franck, Geoffrey G. Xie, & Hui Zhang. (2011). On route aggregation. 1–12. 17 indexed citations

19.

Le, Franck, Geoffrey G. Xie, & Hui Zhang. (2008). Instability free routing. 1–12. 11 indexed citations

20.

Inoue, Atsushi, Tina Wong, Justin Zhan, et al.. (2007). Applications of Machine Learning to Information Security and Privacy. Journal of Japan Society for Fuzzy Theory and Intelligent Informatics. 19(3). 222–232. 4 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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