Jianbo Ye
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Materials Chemistry
- Electronic, Optical and Magnetic Materials top 10%
- Computer Vision and Pattern Recognition top 5%
- Topics
- Advancements in Battery Materials (10 papers)MXene and MAX Phase Materials (8 papers)Supercapacitor Materials and Fabrication (6 papers)
- Cited by
- Electronic, Optical and Magnetic MaterialsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Power SourcesScientific Reports
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jianbo Ye
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Electrical and Electronic Engineering 513
- Artificial Intelligence 386
- Materials Chemistry 334
- Electronic, Optical and Magnetic Materials 275
- Computer Vision and Pattern Recognition 247
Countries citing papers authored by Jianbo Ye
This map shows the geographic impact of Jianbo 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 Jianbo Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianbo Ye more than expected).
Fields of papers citing papers by Jianbo Ye
This network shows the impact of papers produced by Jianbo 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 Jianbo Ye. The network helps show where Jianbo Ye may publish in the future.
Co-authorship network of co-authors of Jianbo Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Jianbo Ye. A scholar is included among the top collaborators of Jianbo 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 Jianbo Ye. Jianbo 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 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 49 | |
| 8 | 23 | |
| 9 | 59 | |
| 10 | 217 | |
| 11 | 14 | |
| 12 | 48 | |
| 13 | 38 | |
| 14 | 31 | |
| 15 | 56 | |
| 16 | 72 | |
| 17 | 37 | |
| 18 | 86 | |
| 19 | 6 | |
| 20 | A Novel Approach for Eye State Recognition | 1 |
About Jianbo Ye
Jianbo Ye is a scholar working on Computer Vision and Pattern Recognition, Molecular Medicine and Endocrinology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advancements in Battery Materials (10 papers), MXene and MAX Phase Materials (8 papers) and Supercapacitor Materials and Fabrication (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (275 citations), Computer Vision and Pattern Recognition (247 citations) and Artificial Intelligence (386 citations). Jianbo Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weixiang Chen, Jim Yang Lee, Lin Ma, Min Yang, Zhou Zhao, Wei Zhao, Shurui Xu, Zeyang Lei, Dongyun Chen and Weixiang Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Power Sources and Scientific Reports.
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.