Xiaohan Xing

702 total citations
22 papers, 321 citations indexed

About

Xiaohan Xing is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Xiaohan Xing has authored 22 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Xiaohan Xing's work include Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (5 papers). Xiaohan Xing is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (5 papers). Xiaohan Xing collaborates with scholars based in China, Hong Kong and United States. Xiaohan Xing's co-authors include Max Q.‐H. Meng, Yixuan Yuan, Xiao Jia, Lei Xing, Zhen Chen, Hyunseok Seo, Yi Cui, Fan Yang, Jianhua Yao and Junzhou Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Proceedings of the IEEE.

In The Last Decade

Xiaohan Xing

18 papers receiving 315 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaohan Xing China 10 131 118 103 86 65 22 321
Ramesh Sunder Nayak Pakistan 7 78 0.6× 148 1.3× 118 1.1× 111 1.3× 35 0.5× 8 304
Georg Wimmer Austria 11 142 1.1× 132 1.1× 222 2.2× 157 1.8× 104 1.6× 35 454
Hemin Ali Qadir Norway 8 205 1.6× 181 1.5× 243 2.4× 153 1.8× 30 0.5× 18 401
Ruikai Zhang China 10 253 1.9× 249 2.1× 281 2.7× 153 1.8× 65 1.0× 16 585
Hitoshi Imaoka Japan 8 115 0.9× 77 0.7× 105 1.0× 55 0.6× 11 0.2× 25 317
Ikram Ullah Lali Pakistan 9 160 1.2× 300 2.5× 160 1.6× 203 2.4× 17 0.3× 12 574
Bruno Korbar United States 6 182 1.4× 243 2.1× 106 1.0× 142 1.7× 7 0.1× 7 388
Kutsev Bengisu Ozyoruk United States 5 49 0.4× 49 0.4× 36 0.3× 87 1.0× 19 0.3× 7 193
Matthew A. Suriawinata United States 4 223 1.7× 226 1.9× 131 1.3× 52 0.6× 7 0.1× 4 320
Michael D. Vasilakakis Greece 8 51 0.4× 83 0.7× 94 0.9× 48 0.6× 135 2.1× 17 271

Countries citing papers authored by Xiaohan Xing

Since Specialization
Citations

This map shows the geographic impact of Xiaohan Xing'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 Xiaohan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Xing more than expected).

Fields of papers citing papers by Xiaohan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaohan Xing. 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 Xiaohan Xing. The network helps show where Xiaohan Xing may publish in the future.

Co-authorship network of co-authors of Xiaohan Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohan Xing. A scholar is included among the top collaborators of Xiaohan Xing 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 Xiaohan Xing. Xiaohan Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Qi, et al.. (2025). MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion. Medical Image Analysis. 102. 103549–103549. 5 indexed citations
2.
Hou, Yuenan, et al.. (2025). OccMamba: Semantic Occupancy Prediction with State Space Models. 11949–11959.
3.
4.
Liu, Jie, Wenxuan Wang, Chengyi Li, et al.. (2025). Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. CityU Scholars. 24181–24201. 2 indexed citations
5.
Hu, Yang, et al.. (2024). Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. IEEE Journal of Biomedical and Health Informatics. 29(3). 2161–2171. 2 indexed citations
6.
7.
Chen, Zhen, Wuyang Li, Xiaohan Xing, & Yixuan Yuan. (2023). Medical federated learning with joint graph purification for noisy label learning. Medical Image Analysis. 90. 102976–102976. 13 indexed citations
8.
Xing, Xiaohan, Zhen Chen, Yuenan Hou, & Yixuan Yuan. (2023). Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis. Medical Image Analysis. 88. 102874–102874. 12 indexed citations
9.
Lu, Ye, et al.. (2023). Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels. Computerized Medical Imaging and Graphics. 105. 102199–102199. 15 indexed citations
10.
Xing, Xiaohan, Meilu Zhu, Zhen Chen, & Yixuan Yuan. (2023). Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading. Medical Image Analysis. 91. 102990–102990. 6 indexed citations
11.
Xing, Xiaohan, Rui Zhou, Hongjun Liu, & Gang Han. (2022). Fabrication of Metallic Micro-/Nano-Composite Materials for Environmental Applications. Coatings. 12(12). 1946–1946. 2 indexed citations
12.
Xing, Xiaohan, Fan Yang, Hang Li, et al.. (2022). Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. Bioinformatics. 38(8). 2178–2186. 33 indexed citations
13.
Lu, Ye, et al.. (2022). Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations. 2022 International Conference on Robotics and Automation (ICRA). 1 indexed citations
14.
Zhao, Yu, Fan Yang, Xiaoying Lou, et al.. (2022). Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning. SHILAP Revista de lepidopterología. 2022. 9860179–9860179. 11 indexed citations
15.
16.
Lu, Ye, Xiaohan Xing, & Max Q.‐H. Meng. (2021). Unseen Domain Generalization for Prostate MRI Segmentation via Disentangled Representations. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO). 1986–1991.
17.
Xing, Xiaohan, Yixuan Yuan, & Max Q.‐H. Meng. (2020). Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification. IEEE Transactions on Medical Imaging. 39(12). 4047–4059. 35 indexed citations
18.
Jia, Xiao, Yi Cui, Yixuan Yuan, et al.. (2020). Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. IEEE Transactions on Automation Science and Engineering. 1–15. 63 indexed citations
19.
Xing, Xiaohan, Yixuan Yuan, Xiao Jia, & Max Q.‐H. Meng. (2019). A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. 104–107. 14 indexed citations
20.
Xing, Xiaohan, Xiao Jia, & Max Q.‐H. Meng. (2018). Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier. PubMed. 2018. 1–4. 36 indexed citations

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.

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