Ce Guo
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
Papers in
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- Gaussian Processes and Bayesian Inference 4
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- Advanced Neural Network Applications 6
- Co-authors
- Wayne Luk (38 shared papers)Minglu Zhang (3 shared papers)Hongxiang Fan (5 shared papers)Yan Zhang (1 shared paper)Haohuan Fu (2 shared papers)Yong Hu (2 shared papers)Shuanglong Liu (2 shared papers)Cheng Luo (2 shared papers)
- Journals
- Sensors (2 papers)IEEE Transactions on Circuits & Systems II Express Briefs (1 paper)Robotica (1 paper)Scientific Reports (1 paper)Journal of Semiconductors (1 paper)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Ce Guo
41 papers receiving 333 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 90
- Artificial Intelligence 133
- Hardware and Architecture 25
- Industrial and Manufacturing Engineering 21
- Signal Processing 21
Countries citing papers authored by Ce Guo
This map shows the geographic impact of Ce Guo'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 Ce Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ce Guo more than expected).
Fields of papers citing papers by Ce Guo
This network shows the impact of papers produced by Ce Guo. 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 Ce Guo. The network helps show where Ce Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ce Guo, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2010 | 30 | |
| 3 | 2019 | 26 | |
| 4 | 2012 | 23 | |
| 5 | 2019 | 22 | |
| 6 | 2020 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2017 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2014 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2014 | 10 | |
| 14 | 2015 | 8 | |
| 15 | Current Status and Prospect of Research on Bio-robots | 2005 | 7 |
| 16 | 2021 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2009 | 5 |
About Ce Guo
Ce Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Computational Theory and Mathematics, having authored 54 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Parallel Computing and Optimization Techniques (6 papers), Advanced Memory and Neural Computing (4 papers), Stock Market Forecasting Methods (4 papers), Gaussian Processes and Bayesian Inference (4 papers), Point processes and geometric inequalities (3 papers), Formal Methods in Verification (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Artificial Intelligence (133 citations), Hardware and Architecture (25 citations), Industrial and Manufacturing Engineering (21 citations) and Signal Processing (21 citations). Ce Guo has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Wayne Luk, Minglu Zhang, Hongxiang Fan, Yan Zhang, Haohuan Fu, Yong Hu, Shuanglong Liu, Cheng Luo, Mei Liu and Shifeng Chen. Their work appears in journals such as Sensors, IEEE Transactions on Circuits & Systems II Express Briefs, Robotica, Scientific Reports and Journal of Semiconductors.
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.