Dejun Yang
- Computer Science Applications top 0.02%
- Mobile Crowdsensing and Crowdsourcing 52
- Transportation top 0.5%
- Human Mobility and Location-Based Analysis 14
- Computer Networks and Communications top 0.5%
- Cooperative Communication and Network Coding 22
- Mobile Ad Hoc Networks 16
- Optimization and Search Problems 10
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- Auction Theory and Applications 45
- Control and Systems Engineering top 0.5%
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- Privacy-Preserving Technologies in Data 29
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- Blockchain Technology Applications and Security 12
- Journals
- IEEE Transactions on Mobile Computing (8 papers)IEEE/ACM Transactions on Networking (8 papers)Computer Networks (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Dejun Yang
128 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Science Applications 2.3k
- Transportation 880
- Computer Networks and Communications 2.5k
- Management Science and Operations Research 1.1k
- Control and Systems Engineering 1.7k
Countries citing papers authored by Dejun Yang
This map shows the geographic impact of Dejun Yang'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 Dejun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Yang more than expected).
Fields of papers citing papers by Dejun Yang
This network shows the impact of papers produced by Dejun Yang. 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 Dejun Yang. The network helps show where Dejun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dejun Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 31 | |
| 9 | 2019 | 1 | |
| 10 | 2018 | 64 | |
| 11 | 2018 | 57 | |
| 12 | 2017 | 21 | |
| 13 | 2017 | 254 | |
| 14 | 2017 | 15 | |
| 15 | 2016 | 76 | |
| 16 | 2016 | 2 | |
| 17 | 2016 | 62 | |
| 18 | 2014 | 17 | |
| 19 | 2013 | 92 | |
| 20 | Crowdsourcing to smartphonesbreakdown → | 2012 | 806 |
About Dejun Yang
Dejun Yang is a scholar working on Computer Science Applications, Management Science and Operations Research and Computer Networks and Communications, having authored 135 papers that have together received 7.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (52 papers), Auction Theory and Applications (45 papers), Privacy-Preserving Technologies in Data (29 papers), Cooperative Communication and Network Coding (22 papers), Mobile Ad Hoc Networks (16 papers), Human Mobility and Location-Based Analysis (14 papers), Blockchain Technology Applications and Security (12 papers) and Optimization and Search Problems (10 papers). The work is most often cited by research in Computer Science Applications (2.3k citations), Transportation (880 citations) and Computer Networks and Communications (2.5k citations). Dejun Yang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Guoliang Xue, Xi Fang, Satyajayant Misra, Jian Tang, Jia Xu, Zhiyuan Xu, Ruozhou Yu, Yanzhi Wang, Xiang Zhang and Lijie Xu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, Computer Networks, IEEE Transactions on Wireless Communications and IEEE Transactions on Vehicular Technology.
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.