Jin Liu

81 papers receiving 1.9k citations

Peers

Jin Liu
Comparison fields: 5 of 130
  • Biomedical Engineering 1.2k
  • Radiology, Nuclear Medicine and Imaging 871
  • Computer Vision and Pattern Recognition 326
  • Electrical and Electronic Engineering 170
  • Cognitive Neuroscience 119
Replace Lianghao Han with:
Lianghao Han United Kingdom
Sanghyun Woo South Korea
Chang Peng China
Yutong Liu China
Lin Qi China
Sabrina Grassini Italy
Manish Arora India
Jianqi Wang China
Mustafa Karaman Türkiye
Boyu Chen China
Jin Liu relative to Lianghao Han United Kingdom Lianghao Han's profile →
Citations per field
00.5×10×17×
Lianghao Han · 1×
Citations per year

Countries citing papers authored by Jin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Liu. A scholar is included among the top collaborators of Jin Liu 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 Jin Liu. Jin Liu 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
#WorkIndexed citations
1 0
2 1
3 1
4 8
5 4
6 8
7 11
8 0
9 19
10 23
11 36
12 73
13 31
14 1
15 75
16 41
17 172
18 40
19
Clinical Observations on Yin-yang-balancing Point-to-point Acupuncture for Walking Function Reconstruction in Patients with Post-stroke Spastic Paralysis
1
20
Relationship between disequilibrium of T lymphocyte subgroups and inflammatory adhesion molecules in patients with rheumatoid arthritis
1

About Jin Liu

Jin Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Media Technology, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (30 papers), Advanced X-ray and CT Imaging (29 papers) and Radiation Dose and Imaging (21 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (871 citations), Biomedical Engineering (1.2k citations) and Computer Vision and Pattern Recognition (326 citations). Jin Liu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yang Chen, Chunzhong Li, Ling Zhang, Jian Yang, Guotao Quan, Qianlong Zhao, Dianlin Hu, Gouenou Coatrieux, Limin Luo and Yikun Zhang. Their work appears in journals such as Journal of the American Chemical Society, Environmental Science & Technology and The Science of The Total Environment.

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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