Lichuan Gu
Impact in
- Media Technology top 1%
- Remote-Sensing Image Classification
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
Papers in
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- Metaheuristic Optimization Algorithms Research 5
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- Video Surveillance and Tracking Methods 4
- Co-authors
- Xiaohui Yuan (9 shared papers)Jianfang Shi (1 shared paper)Yingchun Xia (8 shared papers)Zhiwei Ni (5 shared papers)Xianzhang Shi (2 shared papers)Mohamed Elhoseny (2 shared papers)Zhangjun Wu (4 shared papers)Xiao Liu (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (2 papers)BMC Bioinformatics (2 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Mathematical Biosciences & Engineering (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Lichuan Gu
50 papers receiving 1.5k citations
Lichuan Gu's Hit Papers
Peers
Comparison fields: 5 of 146
- Media Technology 279
- Computer Vision and Pattern Recognition 306
- Artificial Intelligence 387
- Information Systems 237
- Environmental Engineering 141
Countries citing papers authored by Lichuan Gu
This map shows the geographic impact of Lichuan 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 Lichuan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichuan Gu more than expected).
Fields of papers citing papers by Lichuan Gu
This network shows the impact of papers produced by Lichuan 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 Lichuan Gu. The network helps show where Lichuan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichuan 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of deep learning methods for semantic segmentation of remote sensing imagery Hit paper breakdown → | 2020 | 523 |
| 2 | Feature selection based on artificial bee colony and gradient boosting decision tree Hit paper breakdown → | 2018 | 438 |
| 3 | 2010 | 175 | |
| 4 | 2021 | 49 | |
| 5 | 2009 | 28 | |
| 6 | 2020 | 25 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 19 | |
| 10 | 2008 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2019 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2024 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Lichuan Gu
Lichuan Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (5 papers), Advanced Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Smart Agriculture and AI (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Media Technology (279 citations), Computer Vision and Pattern Recognition (306 citations), Artificial Intelligence (387 citations), Information Systems (237 citations) and Environmental Engineering (141 citations). Lichuan Gu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Xiaohui Yuan, Jianfang Shi, Yingchun Xia, Zhiwei Ni, Xianzhang Shi, Mohamed Elhoseny, Zhangjun Wu, Xiao Liu, Chang Zhang and Jun Jiao. Their work appears in journals such as IEEE Transactions on Cybernetics, BMC Bioinformatics, IEEE Transactions on Intelligent Transportation Systems, Mathematical Biosciences & Engineering and Sensors.
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.