Xiaochen Li

581 citations
30 papers · 364 · h-index 11

Impact in

    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • Synthesis and biological activity
    • Click Chemistry and Applications
    • Synthesis and Biological Evaluation

Papers in

Xiaochen Li

28 papers receiving 361 citations

Peers

Xiaochen Li
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 138
  • Organic Chemistry 106
  • Cognitive Neuroscience 48
  • Toxicology 6
  • Radiation 15
Replace Ji-Young Lee with:
Ji-Young Lee South Korea
Elena Marchesi Italy
Nader Riahi Alam Iran
Anita Datta Canada
Mohammad Ali Oghabian Iran
Yoshihisa Ohta Japan
Masakazu Sakaguchi Japan
Jens Rosenberg United States
Shaohong Qian China
Xiaochen Li relative to Ji-Young Lee South Korea Ji-Young Lee's profile →
Citations per field
00.5×5.3×
Ji-Young Lee · 1×
Citations per year

Countries citing papers authored by Xiaochen Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 202233
3 202228
4 201123
5 202219
6 202318
7 201918
8 202317
9 202114
10 202213
11 202211
12 202110
13 20249
14 20239
15 20228
16 20228
17 20237
18 20234
19 20244
20 20223

About Xiaochen Li

Xiaochen Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering, Organic Chemistry and Cognitive Neuroscience, having authored 30 papers that have together received 364 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced X-ray and CT Imaging (4 papers), Functional Brain Connectivity Studies (4 papers), MRI in cancer diagnosis (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Organic Chemistry (106 citations), Cognitive Neuroscience (48 citations), Toxicology (6 citations) and Radiation (15 citations). Xiaochen Li has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Yi‐Chao Zheng, Xian-Wei Ye, Jiaxin Zheng, Yuanyuan Guan, Mengmeng Wang, Hong‐Min Liu, Ying‐Chao Duan, Yaping Wu, Yan Bai and Meiyun Wang. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, EJNMMI Physics, Langmuir, Scientific Reports and Frontiers in Aging Neuroscience.

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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