James J. Q. Yu
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Artificial Intelligence top 1%
- Building and Construction top 0.5%
- Transportation top 0.5%
- Co-authors
- Victor O. K. LiAlbert Y. S. LamYunhe HouJiatao GuYi LiuShuyu ZhangChenhan ZhangDusit Niyato
- Topics
- Traffic Prediction and Management Techniques (46 papers)Human Mobility and Location-Based Analysis (24 papers)Transportation Planning and Optimization (22 papers)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
James J. Q. Yu
95 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Electrical and Electronic Engineering 1.4k
- Control and Systems Engineering 1.2k
- Artificial Intelligence 1.2k
- Building and Construction 910
- Transportation 613
Countries citing papers authored by James J. Q. Yu
This map shows the geographic impact of James J. Q. Yu'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 James J. Q. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Q. Yu more than expected).
Fields of papers citing papers by James J. Q. Yu
This network shows the impact of papers produced by James J. Q. Yu. 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 James J. Q. Yu. The network helps show where James J. Q. Yu may publish in the future.
Co-authorship network of co-authors of James J. Q. Yu
This figure shows the co-authorship network connecting the top 25 collaborators of James J. Q. Yu. A scholar is included among the top collaborators of James J. Q. Yu 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 James J. Q. Yu. James J. Q. Yu 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 42 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 55 | |
| 15 | 20 | |
| 16 | 48 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | A social spider algorithm for global optimizationbreakdown → | 301 |
About James J. Q. Yu
James J. Q. Yu is a scholar working on Transportation, Building and Construction and Automotive Engineering, having authored 100 papers that have together received 3.8k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (46 papers), Human Mobility and Location-Based Analysis (24 papers) and Transportation Planning and Optimization (22 papers). The work is most often cited by research in Transportation (613 citations), Building and Construction (910 citations) and Control and Systems Engineering (1.2k citations). James J. Q. Yu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Victor O. K. Li, Albert Y. S. Lam, Yunhe Hou, Jiatao Gu, Yi Liu, Shuyu Zhang, Chenhan Zhang, Victor O. K. Li, Dusit Niyato and Shiyao Zhang. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and IEEE Transactions on Power Systems.
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.