Jian Pu
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Xiaoru YuanLiang WangJunping ZhangChen WangHongyuan ZhaYuxin LiYingbin ZhengJun Wang
- Topics
- Domain Adaptation and Few-Shot Learning (3 papers)Brain Tumor Detection and Classification (2 papers)Machine Learning and Data Classification (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Colloid and Interface ScienceInternational Journal of Biological Macromolecules
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jian Pu
12 papers receiving 290 citations
Peers
Comparison fields: 5 of 57
- Biomedical Engineering 227
- Computer Vision and Pattern Recognition 224
- Human-Computer Interaction 75
- Artificial Intelligence 54
- Electrical and Electronic Engineering 30
Countries citing papers authored by Jian Pu
This map shows the geographic impact of Jian Pu'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 Jian Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Pu more than expected).
Fields of papers citing papers by Jian Pu
This network shows the impact of papers produced by Jian Pu. 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 Jian Pu. The network helps show where Jian Pu may publish in the future.
Co-authorship network of co-authors of Jian Pu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Pu. A scholar is included among the top collaborators of Jian Pu 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 Jian Pu. Jian Pu 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 | 4 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | Satellite Image Scene Classification based on Deeper ConvNet with Context Aggregation | 4 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 228 | |
| 12 | 6 |
About Jian Pu
Jian Pu is a scholar working on Computer Vision and Pattern Recognition, Neurology and Molecular Medicine, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Brain Tumor Detection and Classification (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Human-Computer Interaction (75 citations), Computer Vision and Pattern Recognition (224 citations) and Biomedical Engineering (227 citations). Jian Pu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoru Yuan, Liang Wang, Junping Zhang, Chen Wang, Hongyuan Zha, Yuxin Li, Yingbin Zheng, Jun Wang, Jun Wang and Jun Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Colloid and Interface Science and International Journal of Biological Macromolecules.
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.