Xiaolin Gui
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- IoT and Edge/Fog Computing
Papers in
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- Privacy-Preserving Technologies in Data 36
- Cryptography and Data Security 33
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- Caching and Content Delivery 12
- IoT and Edge/Fog Computing 11
- Co-authors
- Jian An (37 shared papers)Xin He (15 shared papers)Xiaoyong Li (6 shared papers)Wendong Zhang (8 shared papers)Defu Li (3 shared papers)Huadóng Ma (2 shared papers)Cong Wang (9 shared papers)Yiliang Han (4 shared papers)
- Journals
- IEEE Access (11 papers)IEEE Internet of Things Journal (9 papers)Computer Networks (3 papers)Journal of Network and Computer Applications (3 papers)China Communications (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaolin Gui
127 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Computer Science Applications 280
- Computer Networks and Communications 621
- Information Systems 516
- Artificial Intelligence 593
- Transportation 109
Countries citing papers authored by Xiaolin Gui
This map shows the geographic impact of Xiaolin Gui'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 Xiaolin Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Gui more than expected).
Fields of papers citing papers by Xiaolin Gui
This network shows the impact of papers produced by Xiaolin Gui. 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 Xiaolin Gui. The network helps show where Xiaolin Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Gui, 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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2015 | 68 | |
| 3 | 2014 | 54 | |
| 4 | 2016 | 50 | |
| 5 | 2022 | 49 | |
| 6 | 2016 | 49 | |
| 7 | 2019 | 45 | |
| 8 | 2013 | 44 | |
| 9 | 2018 | 39 | |
| 10 | 2017 | 38 | |
| 11 | 2020 | 32 | |
| 12 | 2022 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2011 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2015 | 25 | |
| 17 | 2015 | 24 | |
| 18 | 2009 | 22 | |
| 19 | 2011 | 20 | |
| 20 | 2021 | 19 |
About Xiaolin Gui
Xiaolin Gui is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Sociology and Political Science and Computer Science Applications, having authored 138 papers that have together received 1.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (36 papers), Cryptography and Data Security (33 papers), Mobile Crowdsensing and Crowdsourcing (19 papers), Cloud Data Security Solutions (17 papers), Human Mobility and Location-Based Analysis (16 papers), Privacy, Security, and Data Protection (12 papers), Caching and Content Delivery (12 papers) and IoT and Edge/Fog Computing (11 papers). The work is most often cited by research in Computer Science Applications (280 citations), Computer Networks and Communications (621 citations), Information Systems (516 citations), Artificial Intelligence (593 citations) and Transportation (109 citations). Xiaolin Gui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jian An, Xin He, Xiaoyong Li, Wendong Zhang, Defu Li, Huadóng Ma, Cong Wang, Yiliang Han, Yifeng Zheng and Xingliang Yuan. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Computer Networks, Journal of Network and Computer Applications and China Communications.
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.