Dandan Pang
- Civil and Structural Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Computer Vision and Pattern Recognition
- Topics
- Advanced Fiber Optic Sensors (7 papers)Ultrasonics and Acoustic Wave Propagation (5 papers)Infrastructure Maintenance and Monitoring (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringCivil and Structural EngineeringRenewable Energy, Sustainability and the Environment
- Journals
- IEEE Transactions on CommunicationsAutomation in ConstructionEngineering Applications of Artificial Intelligence
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Dandan Pang
19 papers receiving 341 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Civil and Structural Engineering 136
- Industrial and Manufacturing Engineering 85
- Electrical and Electronic Engineering 65
- Renewable Energy, Sustainability and the Environment 57
- Computer Vision and Pattern Recognition 51
Countries citing papers authored by Dandan Pang
This map shows the geographic impact of Dandan Pang'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 Dandan Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Pang more than expected).
Fields of papers citing papers by Dandan Pang
This network shows the impact of papers produced by Dandan Pang. 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 Dandan Pang. The network helps show where Dandan Pang may publish in the future.
Co-authorship network of co-authors of Dandan Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Pang. A scholar is included among the top collaborators of Dandan Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dandan Pang. Dandan Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Improved YOLOv8-GD deep learning model for defect detection in electroluminescence images of solar photovoltaic modulesbreakdown → | 81 |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 35 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 114 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | A new ligustrazine derivative--pharmacokinetic evaluation and antitumor activity by suppression of NF-kappaB/p65 and COX-2 expression in S180 mice. | 16 |
| 19 | 3 | |
| 20 | 1 |
About Dandan Pang
Dandan Pang is a scholar working on Industrial and Manufacturing Engineering, Civil and Structural Engineering and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 354 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (7 papers), Ultrasonics and Acoustic Wave Propagation (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (85 citations), Civil and Structural Engineering (136 citations) and Renewable Energy, Sustainability and the Environment (57 citations). Dandan Pang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yongqing Jiang, Chengdong Li, Qingmei Sui, Fan Wang, Qianchuan Zhao, Yi Yan, Jianze Wang, Huifang Dong, Liangliang Song and Ming Wang. Their work appears in journals such as IEEE Transactions on Communications, Automation in Construction and Engineering Applications of Artificial Intelligence.
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.