Yingda Xia

3.5k citations
31 papers · 2.4k · 2 hit papers · h-index 17

Impact in

Papers in

Yingda Xia

29 papers receiving 2.3k citations

Yingda Xia's Hit Papers

Large-scale pancreatic cancer detection via non-contrast CT and deep learning 2023 · 220 citations
2200+1+2Years since publication250500750

Peers

Yingda Xia
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 1.5k
  • Health Informatics 142
  • Artificial Intelligence 753
  • Radiology, Nuclear Medicine and Imaging 246
  • Neurology 59
Replace Christoph Baur with:
Christoph Baur Germany
Liansheng Wang China
Basil Mustafa United States
Amirhossein Kazerouni Iran
Behzad Bozorgtabar Switzerland
Yuanfeng Ji China
Ke Yan United States
Yading Yuan United States
Qihang Yu United States
Pierre-Henri Conze France
Yingda Xia relative to Christoph Baur Germany Christoph Baur's profile →
Citations per field
00.5×2×3×3.5×
Christoph Baur · 1×
Citations per year

Countries citing papers authored by Yingda Xia

Since Specialization
Citations

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

Fields of papers citing papers by Yingda Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Medical Segmentation Decathlon
Hit paper breakdown →
2022888
2
Large-scale pancreatic cancer detection via non-contrast CT and deep learning
Hit paper breakdown →
2023220
3 2020213
4 2022151
5 2020135
6 2018122
7 2020103
8 2019102
9 201984
10 201976
11 201866
12 202231
13 202124
14 202324
15 201918
16 202318
17 202518
18 202015
19 201914
20 202210

About Yingda Xia

Yingda Xia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics and Civil and Structural Engineering, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Neural Network Applications (2 papers), Privacy-Preserving Technologies in Data (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Health Informatics (142 citations), Artificial Intelligence (753 citations), Radiology, Nuclear Medicine and Imaging (246 citations) and Neurology (59 citations). Yingda Xia has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Alan Yuille, Zhuotun Zhu, Fengze Liu, Elliot K. Fishman, Wei Shen, Lingxi Xie, Daguang Xu, Dong Yang, Lequan Yu and Jinzheng Cai. Their work appears in journals such as Nature Communications, Nature Medicine, Lecture notes in computer science, Radiology Artificial Intelligence and Journal of the American College of Radiology.

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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