Junwei Ma
Impact in
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- Landslides and related hazards
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- Geotechnical Engineering and Analysis
Papers in
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- Landslides and related hazards 35
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- Dam Engineering and Safety 21
- Soil and Unsaturated Flow 4
- Co-authors
- Huiming Tang (16 shared papers)Yankun Wang (15 shared papers)Tao Wen (15 shared papers)Junrong Zhang (11 shared papers)Xiaoxu Niu (7 shared papers)Haixiang Guo (7 shared papers)Zhiyang Liu (6 shared papers)Sheng Jiang (6 shared papers)
- Journals
- Landslides (7 papers)Engineering Geology (4 papers)Sensors (4 papers)Natural Hazards (3 papers)Complexity (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Junwei Ma
50 papers receiving 1.7k citations
Junwei Ma's Hit Papers
Peers
Comparison fields: 5 of 108
- Management, Monitoring, Policy and Law 1.0k
- Safety, Risk, Reliability and Quality 328
- Civil and Structural Engineering 719
- Mechanics of Materials 351
- Atmospheric Science 248
Countries citing papers authored by Junwei Ma
This map shows the geographic impact of Junwei Ma'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 Junwei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Ma more than expected).
Fields of papers citing papers by Junwei Ma
This network shows the impact of papers produced by Junwei Ma. 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 Junwei Ma. The network helps show where Junwei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Junwei Ma, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comparative study of different machine learning methods for reservoir landslide displacement prediction Hit paper breakdown → | 2022 | 168 |
| 2 | 2019 | 111 | |
| 3 | 2022 | 96 | |
| 4 | 2017 | 94 | |
| 5 | 2022 | 90 | |
| 6 | 2018 | 82 | |
| 7 | 2016 | 79 | |
| 8 | 2018 | 78 | |
| 9 | 2021 | 66 | |
| 10 | 2022 | 65 | |
| 11 | 2019 | 59 | |
| 12 | 2016 | 55 | |
| 13 | 2018 | 48 | |
| 14 | 2023 | 46 | |
| 15 | 2021 | 44 | |
| 16 | 2023 | 44 | |
| 17 | 2020 | 43 | |
| 18 | 2020 | 41 | |
| 19 | 2020 | 37 | |
| 20 | 2020 | 34 |
About Junwei Ma
Junwei Ma is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Mechanics of Materials and Environmental Engineering, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Landslides and related hazards (35 papers), Dam Engineering and Safety (21 papers), Geotechnical Engineering and Analysis (9 papers), Rock Mechanics and Modeling (7 papers), Soil and Unsaturated Flow (4 papers), Cryospheric studies and observations (4 papers), Flood Risk Assessment and Management (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (1.0k citations), Safety, Risk, Reliability and Quality (328 citations), Civil and Structural Engineering (719 citations), Mechanics of Materials (351 citations) and Atmospheric Science (248 citations). Junwei Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huiming Tang, Yankun Wang, Tao Wen, Junrong Zhang, Xiaoxu Niu, Haixiang Guo, Zhiyang Liu, Sheng Jiang, Ding Xia and Xiao Liu. Their work appears in journals such as Landslides, Engineering Geology, Sensors, Natural Hazards and Complexity.
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.