Ju Ren
- Computer Networks and Communications top 0.1%
- IoT and Edge/Fog Computing 46
- Caching and Content Delivery 21
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing 22
- Information Systems top 0.1%
- Blockchain Technology Applications and Security 24
- Cloud Computing and Resource Management 18
- Artificial Intelligence top 0.2%
- Privacy-Preserving Technologies in Data 58
- Transportation top 1%
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- Advanced MIMO Systems Optimization 22
- Energy Harvesting in Wireless Networks 17
- Co-authors
- Yaoxue ZhangXuemin ShenDeyu ZhangKuan ZhangFeng LyuChugui XuYang XuShiwen He
- Journals
- IEEE Transactions on Mobile Computing (29 papers)IEEE Internet of Things Journal (15 papers)IEEE Wireless Communications (9 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ju Ren
223 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Networks and Communications 4.8k
- Computer Science Applications 892
- Information Systems 2.4k
- Artificial Intelligence 2.9k
- Transportation 422
Countries citing papers authored by Ju Ren
This map shows the geographic impact of Ju Ren'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 Ju Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Ren more than expected).
Fields of papers citing papers by Ju Ren
This network shows the impact of papers produced by Ju Ren. 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 Ju Ren. The network helps show where Ju Ren may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ju Ren, 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 17 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 6 | |
| 15 | 2021 | 56 | |
| 16 | 2021 | 71 | |
| 17 | 2019 | 30 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 26 | |
| 20 | 2016 | 67 |
About Ju Ren
Ju Ren is a scholar working on Computer Networks and Communications, Computer Science Applications, Artificial Intelligence, Information Systems and Transportation, having authored 242 papers that have together received 9.0k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (58 papers), IoT and Edge/Fog Computing (46 papers), Blockchain Technology Applications and Security (24 papers), Advanced MIMO Systems Optimization (22 papers), Mobile Crowdsensing and Crowdsourcing (22 papers), Caching and Content Delivery (21 papers), Cloud Computing and Resource Management (18 papers) and Energy Harvesting in Wireless Networks (17 papers). The work is most often cited by research in Computer Networks and Communications (4.8k citations), Computer Science Applications (892 citations), Information Systems (2.4k citations), Artificial Intelligence (2.9k citations) and Transportation (422 citations). Ju Ren has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yaoxue Zhang, Xuemin Shen, Deyu Zhang, Kuan Zhang, Feng Lyu, Chugui Xu, Yang Xu, Shiwen He, Cheng Zhang and Zhibo Wang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Wireless Communications, IEEE Communications Magazine and IEEE/ACM Transactions on Networking.
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.