Dapeng Lan

59 total papers · 1.5k total citations
37 papers, 992 citations indexed

About

Dapeng Lan is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Dapeng Lan has authored 37 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Dapeng Lan's work include IoT and Edge/Fog Computing (16 papers), Privacy-Preserving Technologies in Data (10 papers) and Blockchain Technology Applications and Security (9 papers). Dapeng Lan is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Privacy-Preserving Technologies in Data (10 papers) and Blockchain Technology Applications and Security (9 papers). Dapeng Lan collaborates with scholars based in China, Norway and Sweden. Dapeng Lan's co-authors include Lei Liu, Ming Zhao, Amir Taherkordi, Yu Miao, Mian Ahmad Jan, Amirhosein Taherkordi, Chen Chen, Shaohua Wan, Jie Feng and Ming Xiao and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Dapeng Lan

30 papers receiving 974 citations

Hit Papers

Mobility-Aware Multi-Hop ... 2022 2026 2023 2024 2022 2023 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dapeng Lan 643 377 265 217 195 37 992
Salman Raza 573 0.9× 443 1.2× 246 0.9× 107 0.5× 197 1.0× 33 973
Zhufang Kuang 826 1.3× 500 1.3× 189 0.7× 205 0.9× 134 0.7× 50 1.2k
Quyuan Luo 667 1.0× 291 0.8× 263 1.0× 118 0.5× 141 0.7× 21 852
Minghui Min 737 1.1× 506 1.3× 201 0.8× 234 1.1× 262 1.3× 32 1.1k
Meng Li 646 1.0× 355 0.9× 272 1.0× 111 0.5× 190 1.0× 80 1.0k
Alia Asheralieva 782 1.2× 460 1.2× 310 1.2× 195 0.9× 273 1.4× 65 1.2k
Tianle Mai 702 1.1× 277 0.7× 287 1.1× 204 0.9× 230 1.2× 56 1.0k
Minghui Dai 500 0.8× 305 0.8× 168 0.6× 315 1.5× 182 0.9× 61 1.0k
Chaogang Tang 824 1.3× 345 0.9× 350 1.3× 97 0.4× 233 1.2× 68 1.2k
Zhiyuan Ren 822 1.3× 579 1.5× 220 0.8× 154 0.7× 184 0.9× 67 1.2k

Countries citing papers authored by Dapeng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Lan

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

All Works

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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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