Weijian Xu
-
- Advanced Neural Network Applications 4
- Image and Video Quality Assessment 3
- Multimodal Machine Learning Applications 3
- Image and Signal Denoising Methods 2
- Visual Attention and Saliency Detection 2
- Generative Adversarial Networks and Image Synthesis 2
- Human-Computer Interaction top 5%
- Artificial Intelligence top 10%
-
- IoT and Edge/Fog Computing 3
-
- IoT Networks and Protocols 2
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weijian Xu
22 papers receiving 470 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 346
- Human-Computer Interaction 57
- Artificial Intelligence 144
- Geology 24
- Computer Graphics and Computer-Aided Design 14
Countries citing papers authored by Weijian Xu
This map shows the geographic impact of Weijian Xu'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 Weijian Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijian Xu more than expected).
Fields of papers citing papers by Weijian Xu
This network shows the impact of papers produced by Weijian Xu. 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 Weijian Xu. The network helps show where Weijian Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weijian Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 0 | |
| 6 | Florence-2: Advancing a Unified Representation for a Variety of Vision Tasksbreakdown → | 2024 | 54 |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 2 | |
| 12 | Pose Recognition with Cascade Transformersbreakdown → | 2021 | 180 |
| 13 | 2021 | 6 | |
| 14 | Attentional Constellation Nets for Few-Shot Learning. | 2020 | 22 |
| 15 | 2020 | 59 | |
| 16 | Geometry-Aware End-to-End Skeleton Detection. | 2019 | 5 |
| 17 | 2019 | 13 | |
| 18 | 2019 | 2 | |
| 19 | 2016 | 3 | |
| 20 | 2015 | 2 |
About Weijian Xu
Weijian Xu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Information Management, having authored 28 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), IoT and Edge/Fog Computing (3 papers), Image and Video Quality Assessment (3 papers), Multimodal Machine Learning Applications (3 papers), Image and Signal Denoising Methods (2 papers), Visual Attention and Saliency Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (346 citations), Human-Computer Interaction (57 citations) and Artificial Intelligence (144 citations). Weijian Xu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhuowen Tu, Yifan Xu, Shijie Wang, Xiang Zhang, Ke Li, David W. Cheung, Gaurav Parmar, Yang Yang, Max Welling and Yifan Xu. Their work appears in journals such as Environmental Science & Technology, Macromolecules and Sensors.
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.