Feifei Shi
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- IoT and Edge/Fog Computing 11
- Caching and Content Delivery 2
- Health Informatics top 10%
- Human-Computer Interaction top 10%
- Information Systems top 5%
- Cloud Computing and Resource Management 2
- Signal Processing top 10%
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- Context-Aware Activity Recognition Systems 6
- Advanced Neural Network Applications 2
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- Robotics and Automated Systems 4
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- Human-Automation Interaction and Safety 2
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- Big Data and Business Intelligence 1
- Co-authors
- Huansheng NingJiabo XuLaurence T. YangYunfei LiFadi FarhaKim‐Kwang Raymond ChooXu YangZhang Fan
- Journals
- Energy & Environmental Science (1 paper)Sensors (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Feifei Shi
21 papers receiving 586 citations
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 267
- Health Informatics 14
- Human-Computer Interaction 50
- Information Systems 173
- Signal Processing 70
Countries citing papers authored by Feifei Shi
This map shows the geographic impact of Feifei Shi'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 Feifei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Shi more than expected).
Fields of papers citing papers by Feifei Shi
This network shows the impact of papers produced by Feifei Shi. 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 Feifei Shi. The network helps show where Feifei Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feifei Shi, 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 | 2024 | 2 | |
| 3 | 2023 | 62 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 35 | |
| 9 | 2021 | 14 | |
| 10 | 2021 | 156 | |
| 11 | 2021 | 0 | |
| 12 | 2021 | 2 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 5 | |
| 15 | 2020 | 86 | |
| 16 | 2020 | 35 | |
| 17 | 2019 | 8 | |
| 18 | 2018 | 58 | |
| 19 | 2018 | 22 | |
| 20 | 自己修復SEIは99.9%を超えるCoulomb効率を持つシリコン多数アノードの完全なセル循環を可能にする【Powered by NICT】 | 2017 | 1 |
About Feifei Shi
Feifei Shi is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Applied Psychology, having authored 22 papers that have together received 614 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Context-Aware Activity Recognition Systems (6 papers), Robotics and Automated Systems (4 papers), Caching and Content Delivery (2 papers), Human-Automation Interaction and Safety (2 papers), Advanced Neural Network Applications (2 papers), Cloud Computing and Resource Management (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Computer Networks and Communications (267 citations), Health Informatics (14 citations) and Human-Computer Interaction (50 citations). Feifei Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huansheng Ning, Jiabo Xu, Laurence T. Yang, Yunfei Li, Fadi Farha, Kim‐Kwang Raymond Choo, Xu Yang, Zhang Fan, Mahmoud Daneshmand and Zhimin Zhang. Their work appears in journals such as Energy & Environmental Science, Sensors and IEEE Transactions on Intelligent Transportation 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.