Xiaojuan Qi
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Media Technology top 0.05%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Neural Network Applications 27
- Human Pose and Action Recognition 17
- Multimodal Machine Learning Applications 14
- Advanced Image and Video Retrieval Techniques 14
Xiaojuan Qi
183 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Computer Vision and Pattern Recognition 10.7k
- Media Technology 2.2k
- Geology 916
- Artificial Intelligence 4.8k
- Computer Graphics and Computer-Aided Design 429
Countries citing papers authored by Xiaojuan Qi
This map shows the geographic impact of Xiaojuan Qi'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 Xiaojuan Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Qi more than expected).
Fields of papers citing papers by Xiaojuan Qi
This network shows the impact of papers produced by Xiaojuan Qi. 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 Xiaojuan Qi. The network helps show where Xiaojuan Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojuan Qi, 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 | 7 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 0 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 4 | |
| 15 | Stratified Transformer for 3D Point Cloud Segmentation Hit paper breakdown → | 2022 | 308 |
| 16 | 2022 | 34 | |
| 17 | 2022 | 6 | |
| 18 | PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds Hit paper breakdown → | 2021 | 308 |
| 19 | 2019 | 78 | |
| 20 | 2018 | 154 |
About Xiaojuan Qi
Xiaojuan Qi is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Health, Toxicology and Mutagenesis, Endocrinology and Geology, having authored 203 papers that have together received 18.5k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (27 papers), 3D Shape Modeling and Analysis (21 papers), Human Pose and Action Recognition (17 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Multimodal Machine Learning Applications (14 papers), Advanced Image and Video Retrieval Techniques (14 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Food Safety and Hygiene (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.7k citations), Media Technology (2.2k citations), Geology (916 citations), Artificial Intelligence (4.8k citations) and Computer Graphics and Computer-Aided Design (429 citations). Xiaojuan Qi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiaya Jia, Hengshuang Zhao, Jianping Shi, Xiaogang Wang, Pheng‐Ann Heng, Hao Chen, Qi Dou, Chi‐Wing Fu, Xiaomeng Li and Lequan Yu. Their work appears in journals such as Environment International, IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemosphere, Foods and Environmental Research.
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.