Yalong Bai
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Molecular Biology
- Aerospace Engineering
- Co-authors
- Tao MeiWei ZhangYue ChenTiejun ZhaoXiaoguang LiuTie‐Yan LiuBin GaoJiang Bian
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Multimodal Machine Learning Applications (10 papers)Domain Adaptation and Few-Shot Learning (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Multimedia
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yalong Bai
21 papers receiving 639 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 457
- Artificial Intelligence 354
- Media Technology 57
- Molecular Biology 28
- Aerospace Engineering 26
Countries citing papers authored by Yalong Bai
This map shows the geographic impact of Yalong Bai'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 Yalong Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalong Bai more than expected).
Fields of papers citing papers by Yalong Bai
This network shows the impact of papers produced by Yalong Bai. 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 Yalong Bai. The network helps show where Yalong Bai may publish in the future.
Co-authorship network of co-authors of Yalong Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Yalong Bai. A scholar is included among the top collaborators of Yalong Bai 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 Yalong Bai. Yalong Bai 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 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | Rethinking Visual Relationships for High-level Image Understanding. | 2 |
| 13 | Destruction and Construction Learning for Fine-Grained Image Recognitionbreakdown → | 356 |
| 14 | 40 | |
| 15 | 22 | |
| 16 | 4 | |
| 17 | 23 | |
| 18 | Learning domain differences automatically for dependency parsing adaptation | 3 |
| 19 | Cross-lingual Projections between Languages from Different Families | 3 |
| 20 | Learning High-level Image Representation for Image Retrieval via Multi-Task DNN using Clickthrough Data | 1 |
About Yalong Bai
Yalong Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and General Social Sciences, having authored 27 papers that have together received 655 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (457 citations), Artificial Intelligence (354 citations) and Media Technology (57 citations). Yalong Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Mei, Wei Zhang, Yue Chen, Tiejun Zhao, Xiaoguang Liu, Tie‐Yan Liu, Bin Gao, Jiang Bian, Chang Xu and Gang Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Multimedia.
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.