Xin Zhen

2.0k citations
88 papers · 1.5k · 1 hit paper · h-index 22

Impact in

Papers in

Xin Zhen

77 papers receiving 1.4k citations

Xin Zhen's Hit Papers

Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study 2024 · 46 citations
460+1Years since publication10203040

Peers

Xin Zhen
Comparison fields: 5 of 113
  • Radiation 355
  • Radiology, Nuclear Medicine and Imaging 480
  • Health Informatics 27
  • Nephrology 79
  • Pulmonary and Respiratory Medicine 257
Replace Francesco C. Stingo with:
Francesco C. Stingo United States
Georgios Z. Papadakis United States
Gong Yong Jin South Korea
Yi Luo United States
Wei Fan China
Evrim Türkbey United States
Mark J. Gooding United Kingdom
John Tomaszewski United States
Ming Yang China
Benoı̂t Malassagne France
Xin Zhen relative to Francesco C. Stingo United States Francesco C. Stingo's profile →
Citations per field
00.5×11.3×
Francesco C. Stingo · 1×
Citations per year

Countries citing papers authored by Xin Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Xin Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017226
2 2017135
3 2017123
4 201970
5 201255
6 201948
7
Artificial intelligence-based models enabling accurate diagnosis of ovarian cancer using laboratory tests in China: a multicentre, retrospective cohort study
Hit paper breakdown →
202446
8 201745
9 201944
10 201336
11 201735
12 201335
13 201433
14 201833
15 201729
16 199927
17 201727
18 202025
19 201324
20 202121

About Xin Zhen

Xin Zhen is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Artificial Intelligence, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (29 papers), Medical Imaging Techniques and Applications (21 papers), Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (10 papers), Medical Image Segmentation Techniques (9 papers), Advanced X-ray and CT Imaging (9 papers), MRI in cancer diagnosis (5 papers) and Digital Radiography and Breast Imaging (4 papers). The work is most often cited by research in Radiation (355 citations), Radiology, Nuclear Medicine and Imaging (480 citations), Health Informatics (27 citations), Nephrology (79 citations) and Pulmonary and Respiratory Medicine (257 citations). Xin Zhen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Linghong Zhou, Steve Jiang, Xuejun Gu, Xun Jia, Jing Nie, Brian Hrycushko, Hao Yan, Zichun Zhong, Jun-Qi Lu and Shan Wang. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, European Radiology, Expert Systems with Applications and Frontiers in Oncology.

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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