Yan Xing

2.5k citations
148 papers · 1.9k · h-index 26

Impact in

Papers in

Yan Xing

142 papers receiving 1.9k citations

Peers

Yan Xing
Comparison fields: 5 of 165
  • Process Chemistry and Technology 60
  • Inorganic Chemistry 230
  • Biomaterials 144
  • Computer Vision and Pattern Recognition 216
  • Cancer Research 156
Replace Lu Li with:
Lu Li China
Giorgio Valentini Italy
Yonghong Song China
Jiayi Wu China
Masayo Aoki Japan
Wenjin Chen China
Zhicheng Zhang China
Saisai Wang China
Wenling Li China
Bin Lou China
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Citations per field
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Citations per year

Countries citing papers authored by Yan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005116
2 201982
3 201477
4 201463
5 200662
6 202156
7 200854
8 202052
9 200946
10 201845
11 201938
12
Asymmetric transfer hydrogenation of ketones catalyzed by chiral carbonyl iron systems
200436
13 201634
14 202132
15 201930
16 202330
17 202228
18 202028
19 202027
20 202326

About Yan Xing

Yan Xing is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 148 papers that have together received 1.9k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (11 papers), Medical Imaging Techniques and Applications (10 papers), Advanced X-ray and CT Imaging (9 papers), Advanced Neural Network Applications (8 papers), Traffic control and management (8 papers), Advanced Image Processing Techniques (7 papers), Computer Graphics and Visualization Techniques (7 papers) and Pulmonary Hypertension Research and Treatments (7 papers). The work is most often cited by research in Process Chemistry and Technology (60 citations), Inorganic Chemistry (230 citations), Biomaterials (144 citations), Computer Vision and Pattern Recognition (216 citations) and Cancer Research (156 citations). Yan Xing has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jinhua Zhao, Lingzhou Zhao, Jing‐Xing Gao, Yanyun Li, Jiangshan Chen, Zhen‐Rong Dong, Wenli Qiao, Yujie Li, Daolun Li and Wenshu Zha. Their work appears in journals such as Biomedical Signal Processing and Control, EJNMMI Physics, Scientific Reports, European Journal of Pharmacology and Journal of Energy Resources Technology.

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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