Depeng Jin

16.9k total citations · 9 hit papers
405 papers, 11.3k citations indexed

About

Depeng Jin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Transportation. According to data from OpenAlex, Depeng Jin has authored 405 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Computer Networks and Communications, 164 papers in Electrical and Electronic Engineering and 96 papers in Transportation. Recurrent topics in Depeng Jin's work include Human Mobility and Location-Based Analysis (93 papers), Caching and Content Delivery (76 papers) and Opportunistic and Delay-Tolerant Networks (63 papers). Depeng Jin is often cited by papers focused on Human Mobility and Location-Based Analysis (93 papers), Caching and Content Delivery (76 papers) and Opportunistic and Delay-Tolerant Networks (63 papers). Depeng Jin collaborates with scholars based in China, United States and United Kingdom. Depeng Jin's co-authors include Yong Li, Li Su, Sheng Chen, Yong Niu, Chen Gao, Lieguang Zeng, Athanasios V. Vasilakos, Xiangnan He, Pan Hui and Jie Feng and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Depeng Jin

385 papers receiving 11.0k citations

Hit Papers

A survey of millimeter wave communications (mmWave) for 5... 2015 2026 2018 2022 2015 2016 2018 2022 2023 250 500 750

Peers

Depeng Jin
Comparison fields: 5 of 144
  • Computer Networks and Communications 4.8k
  • Electrical and Electronic Engineering 4.5k
  • Information Systems 2.7k
  • Artificial Intelligence 2.5k
  • Transportation 1.8k
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Citations per field, relative to Depeng Jin
Depeng Jin · 1×
Citations per year, relative to Depeng Jin
Depeng Jin · 1×

Countries citing papers authored by Depeng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Depeng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Depeng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Depeng Jin. A scholar is included among the top collaborators of Depeng Jin 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 Depeng Jin. Depeng Jin 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
# Work Indexed citations
1 2
2
Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications breakdown →
26
3 17
4 3
5 13
6 13
7 28
8 1
9 17
10 3
11 103
12 37
13 52
14 48
15 2
16 20
17 26
18 6
19 10
20 1

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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