Lei Ye
- Computer Vision and Pattern Recognition top 5%
- Plant Science
- Artificial Intelligence
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Xiangjun ZouFengyun WuJun ZhangShyamala DoraisamyNoris Mohd NorowiAlfian Abdul HalinBin ZhangMingyou Chen
- Topics
- Advanced Image and Video Retrieval Techniques (16 papers)Image Retrieval and Classification Techniques (14 papers)Robotic Path Planning Algorithms (5 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Lei Ye
35 papers receiving 338 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 150
- Plant Science 80
- Artificial Intelligence 77
- Aerospace Engineering 45
- Control and Systems Engineering 37
Countries citing papers authored by Lei Ye
This map shows the geographic impact of Lei Ye'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 Lei Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Ye more than expected).
Fields of papers citing papers by Lei Ye
This network shows the impact of papers produced by Lei Ye. 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 Lei Ye. The network helps show where Lei Ye may publish in the future.
Co-authorship network of co-authors of Lei Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Ye. A scholar is included among the top collaborators of Lei Ye 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 Lei Ye. Lei Ye 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | Path planning for mobile robots in unstructured orchard environments: An improved kinematically constrained bi-directional RRT approachbreakdown → | 90 |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 0 | |
| 11 | An Improved Neural Q-learning Approach for Dynamic Path Planning of Mobile Robots | 1 |
| 12 | 2 | |
| 13 | 3 | |
| 14 | The senior companion: a semantic web dialogue system | 6 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | Series feature aggregation for content-based image retrieval | 1 |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 1 |
About Lei Ye
Lei Ye is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 44 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (14 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Human-Computer Interaction (35 citations) and Artificial Intelligence (77 citations). Lei Ye has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Xiangjun Zou, Fengyun Wu, Jun Zhang, Shyamala Doraisamy, Noris Mohd Norowi, Alfian Abdul Halin, Bin Zhang, Mingyou Chen, Zhou Yang and Jieli Duan. Their work appears in journals such as IEEE Access, Frontiers in Plant Science and Sustainability.
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.