Xiaoying Pan
- Health Informatics top 10%
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 5
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- Medical Image Segmentation Techniques 6
- Image and Signal Denoising Methods 5
- Advanced Neural Network Applications 5
- Human Pose and Action Recognition 4
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- Radiomics and Machine Learning in Medical Imaging 9
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- Artificial Immune Systems Applications 4
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- Advanced Image Fusion Techniques 4
Xiaoying Pan
66 papers receiving 610 citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 17
- Experimental and Cognitive Psychology 107
- Applied Psychology 36
- Artificial Intelligence 141
- Computer Vision and Pattern Recognition 74
Countries citing papers authored by Xiaoying Pan
This map shows the geographic impact of Xiaoying Pan'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 Xiaoying Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoying Pan more than expected).
Fields of papers citing papers by Xiaoying Pan
This network shows the impact of papers produced by Xiaoying Pan. 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 Xiaoying Pan. The network helps show where Xiaoying Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoying Pan, 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 | 2024 | 17 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 6 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 70 | |
| 15 | 2022 | 12 | |
| 16 | 2021 | 1 | |
| 17 | 2015 | 10 | |
| 18 | Prototypes-Extraction Spectral Clustering Ensemble Algorithm Applied to Remote Sensing Image Segmentation | 2012 | 1 |
| 19 | Study on gene mutation of 2324 cases with β-thalassemia | 2010 | 1 |
| 20 | Hybrid Multi-Agent Genetic Algorithm for numerical optimization | 2010 | 0 |
About Xiaoying Pan
Xiaoying Pan is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Media Technology, having authored 77 papers that have together received 629 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Advanced Neural Network Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Human Pose and Action Recognition (4 papers), Artificial Immune Systems Applications (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Health Informatics (17 citations), Experimental and Cognitive Psychology (107 citations) and Applied Psychology (36 citations). Xiaoying Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongyu Wang, Zhenrui Huang, Prayag Tiwari, Pekka Marttinen, Lang He, Mingyue Niu, Rui Su, Wei Dang, Chenguang Guo and Jiewei Jiang. Their work appears in journals such as Biomedical Signal Processing and Control, International Journal of Computer Assisted Radiology and Surgery, Physics in Medicine and Biology, IEEE Access and Complex & Intelligent Systems.
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.