Daocheng Fu
- Control and Systems Engineering top 10%
- Automotive Engineering top 10%
- Building and Construction top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Pinlong CaiLicheng WenBotian ShiYu QiaoMin DouZhao ZhangXin LiBaozhen Yao
- Topics
- Traffic control and management (11 papers)Traffic Prediction and Management Techniques (8 papers)Transportation Planning and Optimization (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Intelligent Transportation SystemsAccident Analysis & Prevention
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Daocheng Fu
16 papers receiving 245 citations
Hit Papers
Peers
Comparison fields: 5 of 53
- Control and Systems Engineering 76
- Automotive Engineering 75
- Building and Construction 74
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 45
Countries citing papers authored by Daocheng Fu
This map shows the geographic impact of Daocheng Fu'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 Daocheng Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daocheng Fu more than expected).
Fields of papers citing papers by Daocheng Fu
This network shows the impact of papers produced by Daocheng Fu. 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 Daocheng Fu. The network helps show where Daocheng Fu may publish in the future.
Co-authorship network of co-authors of Daocheng Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Daocheng Fu. A scholar is included among the top collaborators of Daocheng Fu 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 Daocheng Fu. Daocheng Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | TrafficGPT: Viewing, processing and interacting with traffic foundation modelsbreakdown → | 57 |
| 3 | 16 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | Drive Like a Human: Rethinking Autonomous Driving with Large Language Modelsbreakdown → | 82 |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 26 | |
| 15 | 1 | |
| 16 | 6 |
About Daocheng Fu
Daocheng Fu is a scholar working on Transportation, Building and Construction and Control and Systems Engineering, having authored 16 papers that have together received 253 indexed citations. Recurring topics across this work include Traffic control and management (11 papers), Traffic Prediction and Management Techniques (8 papers) and Transportation Planning and Optimization (6 papers). The work is most often cited by research in Automotive Engineering (75 citations), Transportation (38 citations) and Building and Construction (74 citations). Daocheng Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pinlong Cai, Licheng Wen, Botian Shi, Yu Qiao, Min Dou, Zhao Zhang, Xin Li, Baozhen Yao, Zhao Zhang and Bin Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Accident Analysis & Prevention.
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.