Ning Gui
Impact in
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- Context-Aware Activity Recognition Systems
- Building and Construction top 10%
- BIM and Construction Integration
- Building Energy and Comfort Optimization
Papers in
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- Advanced Software Engineering Methodologies 7
- Advanced Graph Neural Networks 7
- Neural Networks and Applications 4
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- Service-Oriented Architecture and Web Services 8
- Co-authors
- Vincenzo De Florio (15 shared papers)Chris Blondia (13 shared papers)Hong Sun (11 shared papers)Zhifeng Qiu (13 shared papers)Geert Deconinck (8 shared papers)Weihua Gui (7 shared papers)Mei Su (1 shared paper)Yuqian Guo (1 shared paper)
- Journals
- Knowledge-Based Systems (2 papers)International Journal of Electrical Power & Energy Systems (2 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)Future Internet (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- ChinaBelgiumNetherlands
In The Last Decade
Ning Gui
43 papers receiving 510 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 176
- Building and Construction 75
- Demography 62
- Artificial Intelligence 168
- Computer Networks and Communications 113
Countries citing papers authored by Ning Gui
This map shows the geographic impact of Ning 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 Ning Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Gui more than expected).
Fields of papers citing papers by Ning Gui
This network shows the impact of papers produced by Ning 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 Ning Gui. The network helps show where Ning Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 141 | |
| 2 | 2021 | 48 | |
| 3 | 2019 | 46 | |
| 4 | 2017 | 37 | |
| 5 | 2018 | 28 | |
| 6 | 2010 | 27 | |
| 7 | 2019 | 17 | |
| 8 | 2010 | 16 | |
| 9 | 2022 | 11 | |
| 10 | 2012 | 10 | |
| 11 | 2008 | 9 | |
| 12 | 2017 | 9 | |
| 13 | 2012 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2008 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2008 | 7 |
About Ning Gui
Ning Gui is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 48 papers that have together received 544 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), Service-Oriented Architecture and Web Services (8 papers), Advanced Software Engineering Methodologies (7 papers), Advanced Graph Neural Networks (7 papers), Software System Performance and Reliability (5 papers), IoT and Edge/Fog Computing (4 papers), BIM and Construction Integration (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (176 citations), Building and Construction (75 citations), Demography (62 citations), Artificial Intelligence (168 citations) and Computer Networks and Communications (113 citations). Ning Gui has collaborated with scholars based in China, Belgium and Netherlands. Frequent co-authors include Vincenzo De Florio, Chris Blondia, Hong Sun, Zhifeng Qiu, Geert Deconinck, Weihua Gui, Mei Su, Yuqian Guo, Dongran Song and Junnan Li. Their work appears in journals such as Knowledge-Based Systems, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Knowledge and Data Engineering, Future Internet and IEEE Transactions on Neural Networks and Learning 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.