Nanxi Chen
Impact in
- Metals and Alloys top 10%
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- IoT and Edge/Fog Computing
Papers in
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- IoT and Edge/Fog Computing 8
- Age of Information Optimization 3
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- Context-Aware Activity Recognition Systems 6
- Co-authors
- Junhua Zhang (1 shared paper)Yang Yang (6 shared papers)Nicolás Cardozo (1 shared paper)Siobhán Clarke (1 shared paper)Changyu Tang (2 shared papers)Ke Wang (1 shared paper)Qin Zhang (1 shared paper)Qiang Fu (1 shared paper)
- Journals
- IEEE Transactions on Services Computing (2 papers)IEEE Communications Magazine (2 papers)Ceramics International (1 paper)RSC Advances (1 paper)ACM Transactions on Autonomous and Adaptive Systems (1 paper)
- Partner nations
- ChinaIrelandUnited Kingdom
In The Last Decade
Nanxi Chen
25 papers receiving 533 citations
Peers
Comparison fields: 5 of 86
- Metals and Alloys 27
- Computer Networks and Communications 196
- Biomaterials 90
- Polymers and Plastics 65
- Information Systems 102
Countries citing papers authored by Nanxi Chen
This map shows the geographic impact of Nanxi Chen'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 Nanxi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanxi Chen more than expected).
Fields of papers citing papers by Nanxi Chen
This network shows the impact of papers produced by Nanxi Chen. 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 Nanxi Chen. The network helps show where Nanxi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanxi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 108 | |
| 2 | 2018 | 68 | |
| 3 | 2016 | 67 | |
| 4 | 2010 | 49 | |
| 5 | 2018 | 42 | |
| 6 | 2022 | 39 | |
| 7 | 2015 | 27 | |
| 8 | 2020 | 27 | |
| 9 | 2024 | 21 | |
| 10 | 2010 | 20 | |
| 11 | 2018 | 15 | |
| 12 | 2017 | 12 | |
| 13 | 2016 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2019 | 4 |
About Nanxi Chen
Nanxi Chen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Materials Chemistry and Civil and Structural Engineering, having authored 29 papers that have together received 564 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Context-Aware Activity Recognition Systems (6 papers), Corrosion Behavior and Inhibition (5 papers), Concrete Corrosion and Durability (4 papers), Age of Information Optimization (3 papers), Polymer Nanocomposites and Properties (2 papers), Synthesis and properties of polymers (2 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Metals and Alloys (27 citations), Computer Networks and Communications (196 citations), Biomaterials (90 citations), Polymers and Plastics (65 citations) and Information Systems (102 citations). Nanxi Chen has collaborated with scholars based in China, Ireland and United Kingdom. Frequent co-authors include Junhua Zhang, Yang Yang, Nicolás Cardozo, Siobhán Clarke, Changyu Tang, Ke Wang, Qin Zhang, Qiang Fu, Xinyuan Zhang and Tao Zhang. Their work appears in journals such as IEEE Transactions on Services Computing, IEEE Communications Magazine, Ceramics International, RSC Advances and ACM Transactions on Autonomous and Adaptive Systems.
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.