Lei Guo
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 35
-
- Advanced Graph Neural Networks 17
- Topic Modeling 10
- Co-authors
- Hongzhi Yin (10 shared papers)Tong Chen (5 shared papers)Xinhua Wang (18 shared papers)Quoc Viet Hung Nguyen (2 shared papers)Qinyong Wang (2 shared papers)Zhumin Chen (6 shared papers)Lei Zhu (8 shared papers)Yonggang Jia (8 shared papers)
- Journals
- Marine Georesources and Geotechnology (7 papers)ACM Transactions on Information Systems (5 papers)Bulletin of Engineering Geology and the Environment (3 papers)IEEE Access (3 papers)Soft Computing (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Lei Guo
98 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Information Systems 600
- Artificial Intelligence 521
- Computer Science Applications 80
- Earth-Surface Processes 87
- Statistical and Nonlinear Physics 137
Countries citing papers authored by Lei Guo
This map shows the geographic impact of Lei 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 Lei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Guo more than expected).
Fields of papers citing papers by Lei Guo
This network shows the impact of papers produced by Lei 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 Lei Guo. The network helps show where Lei Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 126 | |
| 2 | 2021 | 72 | |
| 3 | 2021 | 67 | |
| 4 | 2019 | 53 | |
| 5 | 2022 | 52 | |
| 6 | 2015 | 51 | |
| 7 | 2017 | 49 | |
| 8 | 2020 | 47 | |
| 9 | 2022 | 42 | |
| 10 | 2020 | 39 | |
| 11 | 2015 | 38 | |
| 12 | 2014 | 36 | |
| 13 | 2022 | 36 | |
| 14 | 2020 | 35 | |
| 15 | 2018 | 30 | |
| 16 | 2017 | 25 | |
| 17 | 2021 | 22 | |
| 18 | 2021 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 20 |
About Lei Guo
Lei Guo is a scholar working on Information Systems, Artificial Intelligence, Earth-Surface Processes, Civil and Structural Engineering and Electrical and Electronic Engineering, having authored 106 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (35 papers), Advanced Graph Neural Networks (17 papers), Geological formations and processes (10 papers), Topic Modeling (10 papers), Geotechnical Engineering and Soil Mechanics (9 papers), Methane Hydrates and Related Phenomena (9 papers), Coastal and Marine Dynamics (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Information Systems (600 citations), Artificial Intelligence (521 citations), Computer Science Applications (80 citations), Earth-Surface Processes (87 citations) and Statistical and Nonlinear Physics (137 citations). Lei Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hongzhi Yin, Tong Chen, Xinhua Wang, Quoc Viet Hung Nguyen, Qinyong Wang, Zhumin Chen, Lei Zhu, Yonggang Jia, Alexander Zhou and Jun Ma. Their work appears in journals such as Marine Georesources and Geotechnology, ACM Transactions on Information Systems, Bulletin of Engineering Geology and the Environment, IEEE Access and Soft 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.