Yu Gu
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Health Informatics top 5%
Papers in
-
- Advanced Chemical Sensor Technologies 24
- Acoustic Wave Resonator Technologies 5
- Co-authors
- Bin Cao (8 shared papers)Jianwei Zhao (6 shared papers)Zhihan Lv (3 shared papers)Shuang Liang (11 shared papers)Huixiang Liu (6 shared papers)Peng Yang (2 shared papers)Jintong Zhang (1 shared paper)Zhiheng Sun (1 shared paper)
In The Last Decade
Yu Gu
79 papers receiving 2.7k citations
Yu Gu's Hit Papers
Peers
Comparison fields: 5 of 158
- Artificial Intelligence 687
- Health Informatics 26
- Analytical Chemistry 183
- Computer Networks and Communications 364
- Biomedical Engineering 672
Countries citing papers authored by Yu Gu
This map shows the geographic impact of Yu Gu'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 Yu Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Gu more than expected).
Fields of papers citing papers by Yu Gu
This network shows the impact of papers produced by Yu Gu. 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 Yu Gu. The network helps show where Yu Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Gu, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 199 | |
| 2 | Resource Allocation in 5G IoV Architecture Based on SDN and Fog-Cloud Computing Hit paper breakdown → | 2021 | 194 |
| 3 | 2019 | 178 | |
| 4 | 2019 | 177 | |
| 5 | 2019 | 173 | |
| 6 | 2020 | 170 | |
| 7 | 2019 | 134 | |
| 8 | 2021 | 127 | |
| 9 | 2020 | 125 | |
| 10 | 2018 | 98 | |
| 11 | 2021 | 86 | |
| 12 | 2017 | 81 | |
| 13 | 2021 | 67 | |
| 14 | 1994 | 57 | |
| 15 | 2022 | 56 | |
| 16 | 2020 | 54 | |
| 17 | 2021 | 49 | |
| 18 | 2020 | 46 | |
| 19 | 2017 | 44 | |
| 20 | 2004 | 39 |
About Yu Gu
Yu Gu is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (24 papers), Spectroscopy and Chemometric Analyses (10 papers), Insect Pheromone Research and Control (7 papers), Gas Sensing Nanomaterials and Sensors (6 papers), Machine Fault Diagnosis Techniques (5 papers), Radiation Detection and Scintillator Technologies (5 papers), Acoustic Wave Resonator Technologies (5 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Artificial Intelligence (687 citations), Health Informatics (26 citations), Analytical Chemistry (183 citations), Computer Networks and Communications (364 citations) and Biomedical Engineering (672 citations). Yu Gu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Bin Cao, Jianwei Zhao, Zhihan Lv, Shuang Liang, Huixiang Liu, Peng Yang, Jintong Zhang, Zhiheng Sun, Xiaoliang Ma and Yingbiao Ling. Their work appears in journals such as Sensors, Foods, IEEE Access, Measurement Science and Technology and Knowledge-Based 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.