Qi Shi
- Building and Construction top 2%
- Safety, Risk, Reliability and Quality top 1%
- Control and Systems Engineering top 5%
- Transportation top 5%
- Automotive Engineering top 10%
- Co-authors
- Mohamed Abdel‐AtyLing WangJuneyoung ParkJaeyoung LeeCongxuan ZhangFeng LuYujie DongFu Li
- Topics
- Traffic Prediction and Management Techniques (10 papers)Traffic and Road Safety (6 papers)Traffic control and management (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingInformation Sciences
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qi Shi
29 papers receiving 796 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Building and Construction 351
- Safety, Risk, Reliability and Quality 329
- Control and Systems Engineering 172
- Transportation 160
- Automotive Engineering 109
Countries citing papers authored by Qi Shi
This map shows the geographic impact of Qi Shi'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 Qi Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Shi more than expected).
Fields of papers citing papers by Qi Shi
This network shows the impact of papers produced by Qi Shi. 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 Qi Shi. The network helps show where Qi Shi may publish in the future.
Co-authorship network of co-authors of Qi Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qi Shi. A scholar is included among the top collaborators of Qi Shi 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 Qi Shi. Qi Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 19 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 101 | |
| 16 | Big Data applications in real-time traffic operation and safety monitoring and improvement on urban expresswaysbreakdown → | 312 |
| 17 | 128 | |
| 18 | 18 | |
| 19 | Review of Application of Neural Network Based Models in Short-Term Traffic Flow Forecasting | 0 |
| 20 | 1 |
About Qi Shi
Qi Shi is a scholar working on Building and Construction, Safety, Risk, Reliability and Quality and Transportation, having authored 31 papers that have together received 815 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (10 papers), Traffic and Road Safety (6 papers) and Traffic control and management (5 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (329 citations), Building and Construction (351 citations) and Transportation (160 citations). Qi Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mohamed Abdel‐Aty, Ling Wang, Juneyoung Park, Jaeyoung Lee, Congxuan Zhang, Feng Lu, Yujie Dong, Fu Li, Haitao Wang and Zhen Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Information Sciences.
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.