Yong Xia

19.5k total citations · 8 hit papers
259 papers, 7.5k citations indexed

About

Yong Xia is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Yong Xia has authored 259 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Computer Vision and Pattern Recognition, 79 papers in Radiology, Nuclear Medicine and Imaging and 73 papers in Artificial Intelligence. Recurrent topics in Yong Xia's work include Medical Image Segmentation Techniques (46 papers), Radiomics and Machine Learning in Medical Imaging (44 papers) and AI in cancer detection (32 papers). Yong Xia is often cited by papers focused on Medical Image Segmentation Techniques (46 papers), Radiomics and Machine Learning in Medical Imaging (44 papers) and AI in cancer detection (32 papers). Yong Xia collaborates with scholars based in China, Australia and United States. Yong Xia's co-authors include Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yanning Zhang, Dagan Feng, Michael Fulham, Weidong Cai, Kuanquan Wang, Yang Song and Henggui Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Child Development.

In The Last Decade

Yong Xia

237 papers receiving 7.2k citations

Hit Papers

Attention Residual Learning for Skin Lesion Classification 2017 2026 2020 2023 2019 2018 2020 2019 2017 100 200 300

Peers

Yong Xia
Comparison fields: 5 of 195
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Artificial Intelligence 2.8k
  • Computer Vision and Pattern Recognition 2.6k
  • Pulmonary and Respiratory Medicine 1.1k
  • Biomedical Engineering 783
Replace Le Lü with:
Le Lü United States
Mohsen Ghafoorian Netherlands
Thijs Kooi Netherlands
Babak Ehteshami Bejnordi Netherlands
Dong Ni China
Holger R. Roth United States
Jianhua Yao United States
Arnaud A. A. Setio Netherlands
Baiying Lei China
Daniel J. Mollura United States
Le Lü United States View profile →
Citations per field, relative to Yong Xia
Yong Xia · 1×
Citations per year, relative to Yong Xia
Yong Xia · 1×

Countries citing papers authored by Yong Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yong Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Xia. A scholar is included among the top collaborators of Yong Xia 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 Yong Xia. Yong Xia 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
# Work Indexed citations
1 8
2 1
3 0
4 1
5 1
6 4
7 7
8 1
9 5
10 5
11 3
12 3
13 9
14 4
15 6
16 6
17 17
18 10
19 22
20 48

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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