Xianjun Deng
Impact in
-
- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Security in Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Computational Mathematics top 10%
Papers in
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- Energy Efficient Wireless Sensor Networks 32
- Security in Wireless Sensor Networks 16
- IoT and Edge/Fog Computing 12
- Network Security and Intrusion Detection 6
- Journals
- IEEE Internet of Things Journal (14 papers)IEEE Transactions on Network Science and Engineering (6 papers)IEEE Transactions on Intelligent Transportation Systems (5 papers)Information Fusion (4 papers)IEEE Transactions on Mobile Computing (3 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Xianjun Deng
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 648
- Computational Mathematics 16
- Computer Science Applications 55
- Artificial Intelligence 278
- Electrical and Electronic Engineering 458
Countries citing papers authored by Xianjun Deng
This map shows the geographic impact of Xianjun Deng'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 Xianjun Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianjun Deng more than expected).
Fields of papers citing papers by Xianjun Deng
This network shows the impact of papers produced by Xianjun Deng. 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 Xianjun Deng. The network helps show where Xianjun Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xianjun Deng, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 25 | |
| 18 | 2023 | 20 | |
| 19 | 2023 | 17 | |
| 20 | 2022 | 23 |
About Xianjun Deng
Xianjun Deng is a scholar working on Computer Networks and Communications, Computational Mathematics, Artificial Intelligence, Computer Science Applications and Signal Processing, having authored 96 papers that have together received 1.2k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (32 papers), Security in Wireless Sensor Networks (16 papers), Energy Harvesting in Wireless Networks (15 papers), Privacy-Preserving Technologies in Data (15 papers), IoT and Edge/Fog Computing (12 papers), Indoor and Outdoor Localization Technologies (10 papers), Network Security and Intrusion Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Computer Networks and Communications (648 citations), Computational Mathematics (16 citations), Computer Science Applications (55 citations), Artificial Intelligence (278 citations) and Electrical and Electronic Engineering (458 citations). Xianjun Deng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Laurence T. Yang, Lingzhi Yi, Bang Wang, Minghua Wang, Wenyu Liu, Man Lin, Yijun Mo, Han‐Chieh Chao, Zufan Zhang and Jiangtian Nie. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Intelligent Transportation Systems, Information Fusion and IEEE Transactions on Mobile Computing.
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.