Yanhui Gu
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
- CO2 Reduction Techniques and Catalysts
Papers in
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- Topic Modeling 14
- Natural Language Processing Techniques 9
- Advanced Text Analysis Techniques 5
- Advanced Graph Neural Networks 3
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- Advanced Neural Network Applications 3
- Multimodal Machine Learning Applications 3
- Advanced Image and Video Retrieval Techniques 3
- Co-authors
- Yafei Li (2 shared papers)Xiaorong Zhu (2 shared papers)Yafei Dai (1 shared paper)Tianyang Liu (1 shared paper)Min Gu (1 shared paper)Yi Chen (6 shared papers)Guandong Xu (8 shared papers)Junsheng Zhou (16 shared papers)
In The Last Decade
Yanhui Gu
35 papers receiving 425 citations
Peers
Comparison fields: 5 of 73
- Renewable Energy, Sustainability and the Environment 171
- Catalysis 29
- Artificial Intelligence 112
- Computer Vision and Pattern Recognition 71
- Materials Chemistry 133
Countries citing papers authored by Yanhui Gu
This map shows the geographic impact of Yanhui 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 Yanhui Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhui Gu more than expected).
Fields of papers citing papers by Yanhui Gu
This network shows the impact of papers produced by Yanhui 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 Yanhui Gu. The network helps show where Yanhui Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanhui 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 191 | |
| 2 | 2016 | 24 | |
| 3 | 2021 | 22 | |
| 4 | 2016 | 21 | |
| 5 | 2023 | 19 | |
| 6 | A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task | 2018 | 14 |
| 7 | 2020 | 13 | |
| 8 | 2023 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2024 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2011 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2013 | 4 |
About Yanhui Gu
Yanhui Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Electrical and Electronic Engineering and Molecular Biology, having authored 42 papers that have together received 434 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (9 papers), Advanced Text Analysis Techniques (5 papers), Web Data Mining and Analysis (4 papers), Advanced Neural Network Applications (3 papers), Multimodal Machine Learning Applications (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (171 citations), Catalysis (29 citations), Artificial Intelligence (112 citations), Computer Vision and Pattern Recognition (71 citations) and Materials Chemistry (133 citations). Yanhui Gu has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Yafei Li, Xiaorong Zhu, Yafei Dai, Tianyang Liu, Min Gu, Yi Chen, Guandong Xu, Junsheng Zhou, Weiguang Qu and Bin Fu. Their work appears in journals such as World Wide Web, Multimedia Tools and Applications, Expert Systems with Applications, Energies and Wireless Communications and Mobile Computing.
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.