Xiaojuan Ran
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Industrial and Manufacturing Engineering top 10%
- Topics
- Data Management and Algorithms (3 papers)Metaheuristic Optimization Algorithms Research (2 papers)Transportation Planning and Optimization (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Information SciencesIEEE Transactions on Intelligent Transportation SystemsApplied Sciences
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Xiaojuan Ran
8 papers receiving 493 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 191
- Computer Vision and Pattern Recognition 140
- Control and Systems Engineering 91
- Aerospace Engineering 76
- Industrial and Manufacturing Engineering 53
Countries citing papers authored by Xiaojuan Ran
This map shows the geographic impact of Xiaojuan Ran'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 Xiaojuan Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Ran more than expected).
Fields of papers citing papers by Xiaojuan Ran
This network shows the impact of papers produced by Xiaojuan Ran. 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 Xiaojuan Ran. The network helps show where Xiaojuan Ran may publish in the future.
Co-authorship network of co-authors of Xiaojuan Ran
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Ran. A scholar is included among the top collaborators of Xiaojuan Ran 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 Xiaojuan Ran. Xiaojuan Ran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 44 | |
| 5 | MOQEA/D: Multi-Objective QEA With Decomposition Mechanism and Excellent Global Search and Its Applicationbreakdown → | 45 |
| 6 | Adaptive cylinder vector particle swarm optimization with differential evolution for UAV path planningbreakdown → | 122 |
| 7 | 118 | |
| 8 | A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspotsbreakdown → | 164 |
About Xiaojuan Ran
Xiaojuan Ran is a scholar working on Transportation, Signal Processing and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 505 indexed citations. Recurring topics across this work include Data Management and Algorithms (3 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Transportation Planning and Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Artificial Intelligence (191 citations) and Industrial and Manufacturing Engineering (53 citations). Xiaojuan Ran has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Wu Deng, Xiangbing Zhou, Chen Huang, Huayue Chen, Yi Liu, Jiamiao Wang, Wuquan Deng, Jianghong Ma, Daqing Wu and Yingjie Song. Their work appears in journals such as Information Sciences, IEEE Transactions on Intelligent Transportation Systems and Applied 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.