Maozhi Wu
Impact in
- Civil and Structural Engineering top 10%
- Tunneling and Rock Mechanics
- Infrastructure Maintenance and Monitoring
- Dam Engineering and Safety
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- Geotechnical Engineering and Analysis
Papers in
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- Tunneling and Rock Mechanics 8
- Infrastructure Maintenance and Monitoring 1
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- Drilling and Well Engineering 5
- Co-authors
- Limao Zhang (12 shared papers)Xianlei Fu (5 shared papers)Robert L. K. Tiong (2 shared papers)Penghui Lin (2 shared papers)Jin-Jian Chen (1 shared paper)Zhonghua Xiao (1 shared paper)Yue Pan (1 shared paper)Kai Guo (1 shared paper)
- Journals
- Automation in Construction (3 papers)Buildings (2 papers)Expert Systems with Applications (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Maozhi Wu
12 papers receiving 268 citations
Peers
Comparison fields: 5 of 57
- Civil and Structural Engineering 157
- Safety, Risk, Reliability and Quality 54
- Ocean Engineering 85
- Building and Construction 35
- Radiological and Ultrasound Technology 8
Countries citing papers authored by Maozhi Wu
This map shows the geographic impact of Maozhi Wu'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 Maozhi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maozhi Wu more than expected).
Fields of papers citing papers by Maozhi Wu
This network shows the impact of papers produced by Maozhi Wu. 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 Maozhi Wu. The network helps show where Maozhi Wu may publish in the future.
Co-authors
The 10 scholars most cited alongside Maozhi Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2022 | 49 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 16 | |
| 9 | 2023 | 14 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 2 |
About Maozhi Wu
Maozhi Wu is a scholar working on Civil and Structural Engineering, Ocean Engineering, Safety, Risk, Reliability and Quality, Transportation and Mechanical Engineering, having authored 12 papers that have together received 269 indexed citations. Recurring topics across this work include Tunneling and Rock Mechanics (8 papers), Drilling and Well Engineering (5 papers), Geotechnical Engineering and Analysis (3 papers), Transportation Planning and Optimization (3 papers), Advanced machining processes and optimization (3 papers), Traffic Prediction and Management Techniques (2 papers), Rock Mechanics and Modeling (2 papers) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Civil and Structural Engineering (157 citations), Safety, Risk, Reliability and Quality (54 citations), Ocean Engineering (85 citations), Building and Construction (35 citations) and Radiological and Ultrasound Technology (8 citations). Maozhi Wu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Limao Zhang, Xianlei Fu, Robert L. K. Tiong, Penghui Lin, Jin-Jian Chen, Zhonghua Xiao, Yue Pan, Kai Guo, Paolo Gardoni and Yan Zhang. Their work appears in journals such as Automation in Construction, Buildings, Expert Systems with Applications, Engineering Applications of Artificial Intelligence and Applied 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.