Dayong Wu
- Automotive Engineering top 2%
- Building and Construction top 5%
- Environmental Engineering top 5%
- Safety, Risk, Reliability and Quality top 2%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Traffic Prediction and Management Techniques (12 papers)Autonomous Vehicle Technology and Safety (12 papers)Remote Sensing and LiDAR Applications (10 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingJournal of Pharmacology and Experimental TherapeuticsIEEE Access
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Dayong Wu
42 papers receiving 848 citations
Peers
Comparison fields: 5 of 92
- Automotive Engineering 378
- Building and Construction 241
- Environmental Engineering 225
- Safety, Risk, Reliability and Quality 189
- Computer Vision and Pattern Recognition 165
Countries citing papers authored by Dayong Wu
This map shows the geographic impact of Dayong 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 Dayong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayong Wu more than expected).
Fields of papers citing papers by Dayong Wu
This network shows the impact of papers produced by Dayong 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 Dayong Wu. The network helps show where Dayong Wu may publish in the future.
Co-authorship network of co-authors of Dayong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Dayong Wu. A scholar is included among the top collaborators of Dayong Wu 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 Dayong Wu. Dayong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 74 | |
| 10 | 7 | |
| 11 | 34 | |
| 12 | 4 | |
| 13 | 268 | |
| 14 | 20 | |
| 15 | An Artificial Neural Network to Identify Pedestrians and Vehicles from Roadside 360-Degree LiDAR Data | 13 |
| 16 | 11 | |
| 17 | 9 | |
| 18 | 42 | |
| 19 | 17 | |
| 20 | Analyzing Life-Cycle Costs in Repairing Bridge Piles: TxDOT Case | 1 |
About Dayong Wu
Dayong Wu is a scholar working on Automotive Engineering, Transportation and Building and Construction, having authored 44 papers that have together received 861 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (12 papers), Autonomous Vehicle Technology and Safety (12 papers) and Remote Sensing and LiDAR Applications (10 papers). The work is most often cited by research in Automotive Engineering (378 citations), Transportation (141 citations) and Safety, Risk, Reliability and Quality (189 citations). Dayong Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hongchao Liu, Ciyun Lin, Bowen Gong, Junxuan Zhao, Hao Xu, Yichen Zheng, Jianqing Wu, Changwei Yuan, Hui Liu and Wesley Kumfer. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Pharmacology and Experimental Therapeutics 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.