Xiaohan Xing

702 citations

22 papers · 321 indexed · h-index 10

Impact in

Gastroenterology top 10%
- Gastrointestinal Bleeding Diagnosis and Treatment
Radiology, Nuclear Medicine and Imaging top 10%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI

Papers in ⓘ

Gastroenterology 4
- Gastrointestinal Bleeding Diagnosis and Treatment 4
Computer Vision and Pattern Recognition 8
- Medical Image Segmentation Techniques 5

Co-authors: Max Q.‐H. Meng (9 shared papers)Yixuan Yuan (7 shared papers)Xiao Jia (5 shared papers)Lei Xing (2 shared papers)Yi Cui (1 shared paper)Zhen Chen (3 shared papers)Hyunseok Seo (1 shared paper)Junzhou Huang (3 shared papers)
Journals: Medical Image Analysis (4 papers)IEEE Transactions on Automation Science and Engineering (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Bioinformatics (1 paper)Computerized Medical Imaging and Graphics (1 paper)
Partner nations: China Hong Kong United States

In The Last Decade

Xiaohan Xing

18 papers receiving 315 citations

Peers

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-authors

The 25 scholars most cited alongside Xiaohan Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaohan Xing Line = papers co-authored together Xiaohan Xing links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction IEEE Transactions on Automation Science and Engineering ·Xiao Jia, Xiaochun Mai, Yi Cui, Yixuan Yuan, Xiaohan Xing, Hyunseok Seo, Lei Xing, Max Q.‐H. Meng	2020	63
2	Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition Proceedings of the IEEE ·Xiao Jia, Xiaohan Xing, Yixuan Yuan, Lei Xing, Max Q.‐H. Meng	2019	62
3	Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier PubMed ·Xiaohan Xing, Xiao Jia, Max Q.‐H. Meng	2018	36
4	Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification IEEE Transactions on Medical Imaging ·Xiaohan Xing, Yixuan Yuan, Max Q.‐H. Meng	2020	35
5	Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis Bioinformatics ·Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao	2022	33
6	Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels Computerized Medical Imaging and Graphics ·Ye Lu, Yutian Shen, Xiaohan Xing, Chengwei Ye, Max Q.‐H. Meng	2023	15
7	A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.‐H. Meng	2019	14
8	Medical federated learning with joint graph purification for noisy label learning Medical Image Analysis ·Zhen Chen, Wuyang Li, Xiaohan Xing, Yixuan Yuan	2023	13
9	Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis Medical Image Analysis ·Xiaohan Xing, Zhen Chen, Yuenan Hou, Yixuan Yuan	2023	12
10	Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning SHILAP Revista de lepidopterología ·Hailing Liu, Yu Zhao, Fan Yang, Xiaoying Lou, Feng Chung Wu, Hang Li, Xiaohan Xing, Tingying Peng, Bjoern Menze, Junzhou Huang, Shujun Zhang, Anjia Han, Jianhua Yao, Xinjuan Fan	2022	11
11	An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ·Xiaohan Xing, Fan Yang, Hang Li, Jun Zhang, Yu Zhao, Mingxuan Gao, Junzhou Huang, Jianhua Yao	2021	8
12	Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading Medical Image Analysis ·Xiaohan Xing, Meilu Zhu, Zhen Chen, Yixuan Yuan	2023	6
13	MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion Medical Image Analysis ·Jing Zou, Li Liu, Qi Chen, Shujun Wang, Zhanli Hu, Xiaohan Xing, Jing Qin	2025	5
14	Fabrication of Metallic Micro-/Nano-Composite Materials for Environmental Applications Coatings ·Xiaohan Xing, Rui Zhou, Hongjun Liu, Gang Han	2022	2
15	Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis IEEE Journal of Biomedical and Health Informatics ·Yang Hu, Yuanyuan Chen, Xiaohan Xing, Jingfeng Zhang, Bolysbek Murat Yerzhanuly, Bazargul Matkerim, Yong Xia	2024	2
16	Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models CityU Scholars ·Jie Liu, Wenxuan Wang, Su Yihang, Jingyuan Huang, Yudi Zhang, Chengyi Li, Wenting Chen, Xiaohan Xing, Kao-Jung Chang, Linlin Shen, Michael R. Lyu	2025	2
17	Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation Xiao Jia, Xiaochun Mai, Xiaohan Xing, Yutian Shen, Jiankun Wang, Max Q.‐H. Meng	2021	1
18	Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations 2022 International Conference on Robotics and Automation (ICRA) ·Ye Lu, Yutian Shen, Xiaohan Xing, Max Q.‐H. Meng	2022	1
19	OccMamba: Semantic Occupancy Prediction with State Space Models Heng Li, Yuenan Hou, Xiaohan Xing, Yuexin Ma, Xiao Sun, Yanyong Zhang	2025	0
20	An improved graph attention network combined with reinforcement learning for capacitated vehicle routing problem Applied Intelligence ·Y. Bai, Xiaohan Xing, Jian Wang	2025	0

About Xiaohan Xing

Xiaohan Xing is a scholar working on Gastroenterology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Artificial Intelligence, having authored 22 papers that have together received 321 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Medical Image Segmentation Techniques (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Gastrointestinal Bleeding Diagnosis and Treatment (4 papers), Colorectal Cancer Screening and Detection (4 papers), Retinal Imaging and Analysis (3 papers), Brain Tumor Detection and Classification (2 papers) and Optical Coherence Tomography Applications (2 papers). The work is most often cited by research in Gastroenterology (65 citations), Radiology, Nuclear Medicine and Imaging (131 citations), Health Informatics (6 citations), Computer Vision and Pattern Recognition (86 citations) and Oncology (103 citations). Xiaohan Xing has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Max Q.‐H. Meng, Yixuan Yuan, Xiao Jia, Lei Xing, Yi Cui, Zhen Chen, Hyunseok Seo, Junzhou Huang, Fan Yang and Jianhua Yao. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Automation Science and Engineering, IEEE Journal of Biomedical and Health Informatics, Bioinformatics and Computerized Medical Imaging and Graphics.

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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