Xiaowei Xu

131 papers receiving 1.7k citations

Xiaowei Xu's Hit Papers

Clinical Study of Mesenchymal Stem Cell Treatment for Acute Respiratory Distress Syndrome Induced by Epidemic Influenza A (H7N9) Infection: A Hint for COVID-19 Treatment 2020 · 195 citations
1950+2+4Years since publication50100150

Peers

Xiaowei Xu
Comparison fields: 5 of 153
  • Health Informatics 37
  • Computer Vision and Pattern Recognition 419
  • Radiology, Nuclear Medicine and Imaging 280
  • Artificial Intelligence 365
  • Hepatology 84
Replace Rupert Young with:
Rupert Young United Kingdom
Erik B. Dam Denmark
Shuai Wang China
Shandong Wu United States
Carmelo Militello Italy
Binh P. Nguyen New Zealand
I‐Fang Chung Taiwan
Evgin Göçeri Türkiye
Jing Han China
Jinxing Li China
Xiaowei Xu relative to Rupert Young United Kingdom Rupert Young's profile →
Citations per field
00.5×4.3×
Rupert Young · 1×
Citations per year

Countries citing papers authored by Xiaowei Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaowei Xu, 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 Xiaowei Xu Line = papers co-authored together Xiaowei Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018303
2
Clinical Study of Mesenchymal Stem Cell Treatment for Acute Respiratory Distress Syndrome Induced by Epidemic Influenza A (H7N9) Infection: A Hint for COVID-19 Treatment
Hit paper breakdown →
2020195
3 202363
4 201952
5 202146
6 201645
7 202344
8 201738
9 202337
10 202233
11 201530
12 201829
13 202127
14 201526
15 201424
16 202023
17 202122
18 202122
19 201320
20 200318

About Xiaowei Xu

Xiaowei Xu is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 138 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Advanced Memory and Neural Computing (13 papers), AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Neural Networks and Applications (7 papers) and Neural Networks Stability and Synchronization (7 papers). The work is most often cited by research in Health Informatics (37 citations), Computer Vision and Pattern Recognition (419 citations), Radiology, Nuclear Medicine and Imaging (280 citations), Artificial Intelligence (365 citations) and Hepatology (84 citations). Xiaowei Xu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yiyu Shi, Yu Hen Hu, Xiaobo Sharon Hu, Yukun Ding, Michael Niemier, Jason Cong, Yanchun Zhang, Wenyao Xu, Feng Lin and Lanjuan Li. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Journal on Emerging Technologies in Computing Systems, Scientific Reports, Frontiers in Cardiovascular Medicine and Nature Machine Intelligence.

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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