Zhiyong Cui
- Building and Construction top 0.5%
- Transportation top 0.5%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Automotive Engineering top 2%
- Topics
- Traffic Prediction and Management Techniques (33 papers)Transportation Planning and Optimization (20 papers)Traffic control and management (18 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Zhiyong Cui
69 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Building and Construction 1.3k
- Transportation 933
- Control and Systems Engineering 680
- Artificial Intelligence 355
- Automotive Engineering 339
Countries citing papers authored by Zhiyong Cui
This map shows the geographic impact of Zhiyong Cui'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 Zhiyong Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiyong Cui more than expected).
Fields of papers citing papers by Zhiyong Cui
This network shows the impact of papers produced by Zhiyong Cui. 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 Zhiyong Cui. The network helps show where Zhiyong Cui may publish in the future.
Co-authorship network of co-authors of Zhiyong Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Zhiyong Cui. A scholar is included among the top collaborators of Zhiyong Cui 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 Zhiyong Cui. Zhiyong Cui 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 | 4 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 23 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 15 | |
| 14 | 46 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 15 | |
| 18 | High-Order Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting | 32 |
| 19 | Complement or Competitior? Comparing car2go and Transit Travel Times, Prices, and Usage Patterns in Seattle | 8 |
| 20 | Image Compression Quantification Scheme Based on Lifting Wavelet Technology | 0 |
About Zhiyong Cui
Zhiyong Cui is a scholar working on Transportation, Building and Construction and Nuclear Energy and Engineering, having authored 78 papers that have together received 2.6k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (33 papers), Transportation Planning and Optimization (20 papers) and Traffic control and management (18 papers). The work is most often cited by research in Transportation (933 citations), Building and Construction (1.3k citations) and Control and Systems Engineering (680 citations). Zhiyong Cui has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yinhai Wang, Ruimin Ke, Kristian Henrickson, Ziyuan Pu, Xiaolei Ma, Chen Feng, Jinlei Zhang, Yadi Zhu, Yun Tian and Zhibin Li. Their work appears in journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.
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.