Peng Dai
Impact in
- Transportation top 5%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 5%
- Traffic Prediction and Management Techniques
Papers in
-
- Infrastructure Maintenance and Monitoring 10
-
- Optical measurement and interference techniques 2
- Co-authors
- Shengchun Wang (7 shared papers)Chao Huang (2 shared papers)Liefeng Bo (2 shared papers)Xinyu Du (2 shared papers)Yu Zheng (1 shared paper)Lianghao Xia (1 shared paper)Junbo Zhang (1 shared paper)Yong Xu (1 shared paper)
- Journals
- Computer-Aided Civil and Infrastructure Engineering (2 papers)Applied Sciences (2 papers)Neurocomputing (1 paper)Railway Engineering Science (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Peng Dai
21 papers receiving 557 citations
Peers
Comparison fields: 5 of 69
- Transportation 97
- Building and Construction 156
- Civil and Structural Engineering 147
- Industrial and Manufacturing Engineering 67
- Media Technology 44
Countries citing papers authored by Peng Dai
This map shows the geographic impact of Peng Dai'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 Peng Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Dai more than expected).
Fields of papers citing papers by Peng Dai
This network shows the impact of papers produced by Peng Dai. 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 Peng Dai. The network helps show where Peng Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Dai, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 157 | |
| 2 | 2020 | 136 | |
| 3 | 2019 | 69 | |
| 4 | 2017 | 42 | |
| 5 | 2017 | 39 | |
| 6 | 2019 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2016 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 5 | |
| 14 | 2009 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2009 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2013 | 1 |
About Peng Dai
Peng Dai is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering, Media Technology and Electrical and Electronic Engineering, having authored 25 papers that have together received 567 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (10 papers), Vehicle License Plate Recognition (6 papers), Railway Engineering and Dynamics (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Measurement and Detection Methods (4 papers), Non-Destructive Testing Techniques (3 papers), Optical measurement and interference techniques (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Transportation (97 citations), Building and Construction (156 citations), Civil and Structural Engineering (147 citations), Industrial and Manufacturing Engineering (67 citations) and Media Technology (44 citations). Peng Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shengchun Wang, Chao Huang, Liefeng Bo, Xinyu Du, Yu Zheng, Lianghao Xia, Junbo Zhang, Yong Xu, Xiyue Zhang and Magd Abdel Wahab. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, Applied Sciences, Neurocomputing, Railway Engineering Science and IEEE Access.
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.