Jialin Wu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Geophysics
- Aerospace Engineering
- Information Systems
- Co-authors
- Jiasen LuRoozbeh MottaghiAshish SabharwalRaymond J. MooneyYang YuXiangyang JiChandrajit BajajLi Dai
- Topics
- Multimodal Machine Learning Applications (9 papers)Advanced Image and Video Retrieval Techniques (5 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBMC BioinformaticsIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jialin Wu
21 papers receiving 202 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 144
- Artificial Intelligence 110
- Geophysics 14
- Aerospace Engineering 8
- Information Systems 7
Countries citing papers authored by Jialin Wu
This map shows the geographic impact of Jialin Wu'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 Jialin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialin Wu more than expected).
Fields of papers citing papers by Jialin Wu
This network shows the impact of papers produced by Jialin Wu. 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 Jialin Wu. The network helps show where Jialin Wu may publish in the future.
Co-authorship network of co-authors of Jialin Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jialin Wu. A scholar is included among the top collaborators of Jialin Wu 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 Jialin Wu. Jialin Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 60 | |
| 15 | 21 | |
| 16 | 4 | |
| 17 | Self-Critical Reasoning for Robust Visual Question Answering | 16 |
| 18 | Dynamic Sampling Convolutional Neural Networks. | 5 |
| 19 | 32 | |
| 20 | 1 |
About Jialin Wu
Jialin Wu is a scholar working on Computer Vision and Pattern Recognition, Business and International Management and Artificial Intelligence, having authored 24 papers that have together received 205 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Artificial Intelligence (110 citations) and Geophysics (14 citations). Jialin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiasen Lu, Roozbeh Mottaghi, Ashish Sabharwal, Raymond J. Mooney, Yang Yu, Xiangyang Ji, Chandrajit Bajaj, Li Dai, Seong‐Whan Lee and Dong-Gyu Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and IEEE Transactions on Vehicular Technology.
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.