Chang Lan

1.7k total citations · 1 hit paper
13 papers, 1.1k citations indexed

About

Chang Lan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Chang Lan has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 2 papers in Hardware and Architecture. Recurrent topics in Chang Lan's work include Software-Defined Networks and 5G (6 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Chang Lan is often cited by papers focused on Software-Defined Networks and 5G (6 papers), Network Security and Intrusion Detection (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Chang Lan collaborates with scholars based in United States, China and Hong Kong. Chang Lan's co-authors include Sylvia Ratnasamy, Raluca Ada Popa, Justine Sherry, Aurojit Panda, Chuanxiong Guo, Scott Shenker, Bairen Yi, Yibo Zhu, Shoumik Palkar and Luigi Rizzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE/ACM Transactions on Networking and ACM SIGCOMM Computer Communication Review.

In The Last Decade

Chang Lan

12 papers receiving 1.1k citations

Hit Papers

E2 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Lan United States 12 873 527 321 201 190 13 1.1k
Robert Soulé United States 20 1.8k 2.1× 284 0.5× 645 2.0× 346 1.7× 339 1.8× 57 2.0k
Muhammad Tanveer Pakistan 19 614 0.7× 246 0.5× 481 1.5× 117 0.6× 197 1.0× 47 912
Kapil Vaswani India 21 659 0.8× 752 1.4× 709 2.2× 573 2.9× 214 1.1× 48 1.6k
Gianni Antichi United Kingdom 19 1.4k 1.6× 339 0.6× 405 1.3× 373 1.9× 351 1.8× 97 1.5k
Д В Зуев United Kingdom 3 1.3k 1.5× 1.3k 2.5× 194 0.6× 194 1.0× 53 0.3× 5 1.4k
Paul E. McKenney United States 18 1.2k 1.4× 239 0.5× 234 0.7× 779 3.9× 179 0.9× 64 1.4k
Anil K. Sarje India 15 746 0.9× 195 0.4× 414 1.3× 88 0.4× 95 0.5× 69 841
Ming Wu United States 12 621 0.7× 197 0.4× 412 1.3× 189 0.9× 87 0.5× 26 839
Chuck Yoo South Korea 14 561 0.6× 87 0.2× 230 0.7× 124 0.6× 188 1.0× 124 737

Countries citing papers authored by Chang Lan

Since Specialization
Citations

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

Fields of papers citing papers by Chang Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Lan

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

All Works

13 of 13 papers shown
1.
Jiang, Yimin, Yibo Zhu, Chang Lan, et al.. (2020). A Unified Architecture for Accelerating Distributed {DNN} Training in Heterogeneous GPU/CPU Clusters. Operating Systems Design and Implementation. 463–479. 48 indexed citations
2.
Peng, Yanghua, Yibo Zhu, Yangrui Chen, et al.. (2019). A generic communication scheduler for distributed DNN training acceleration. 16–29. 208 indexed citations
3.
Tootoonchian, Amin, Aurojit Panda, Chang Lan, et al.. (2018). ResQ: enabling SLOs in network function virtualization. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 283–297. 65 indexed citations
4.
Poddar, Rishabh, Chang Lan, Raluca Ada Popa, & Sylvia Ratnasamy. (2018). SafeBricks: Shielding Network Functions in the Cloud. Networked Systems Design and Implementation. 201–216. 41 indexed citations
5.
Lan, Chang. (2018). An Architecture for Network Function Virtualization. eScholarship (California Digital Library).
6.
Lan, Chang, Justine Sherry, Raluca Ada Popa, Sylvia Ratnasamy, & Zhi Liu. (2016). Embark: securely outsourcing middleboxes to the cloud. Networked Systems Design and Implementation. 255–273. 63 indexed citations
7.
Sherry, Justine, Chang Lan, Raluca Ada Popa, & Sylvia Ratnasamy. (2015). BlindBox. 213–226. 194 indexed citations
8.
Hu, Shuihai, Kai Chen, Haitao Wu, et al.. (2015). Explicit Path Control in Commodity Data Centers: Design and Applications. IEEE/ACM Transactions on Networking. 24(5). 2768–2781. 61 indexed citations
9.
Fifield, David A., et al.. (2015). Blocking-resistant communication through domain fronting. SHILAP Revista de lepidopterología. 2015(2). 46–64. 90 indexed citations
10.
Sherry, Justine, Chang Lan, Raluca Ada Popa, & Sylvia Ratnasamy. (2015). BlindBox. ACM SIGCOMM Computer Communication Review. 45(4). 213–226. 63 indexed citations
11.
Palkar, Shoumik, Chang Lan, Sangjin Han, et al.. (2015). E2. CINECA IRIS Institutial research information system (University of Pisa). 121–136. 261 indexed citations breakdown →
12.
Zhang, Xin, Chang Lan, & Adrian Perrig. (2012). Secure and Scalable Fault Localization under Dynamic Traffic Patterns. 317–331. 27 indexed citations
13.
Davis, Gary A. & Chang Lan. (1995). Estimating intersection turning movement proportions from less-than-complete sets of traffic counts. 53–59. 16 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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