Jianye Liang

655 total citations
30 papers, 488 citations indexed

About

Jianye Liang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jianye Liang has authored 30 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Jianye Liang's work include MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced MRI Techniques and Applications (6 papers). Jianye Liang is often cited by papers focused on MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced MRI Techniques and Applications (6 papers). Jianye Liang collaborates with scholars based in China, United States and Croatia. Jianye Liang's co-authors include Liangping Luo, Changzheng Shi, Mengjie Ma, Qingqing Cheng, Zeyu Xiao, Dong Zhang, Jiaxi Huang, Zhipeng Li, Changzheng Shi and Xueping Lei and has published in prestigious journals such as American Journal of Roentgenology, Medical Physics and BioMed Research International.

In The Last Decade

Jianye Liang

30 papers receiving 483 citations

Peers

Jianye Liang
Comparison fields: 5 of 67
  • Radiology, Nuclear Medicine and Imaging 312
  • Pulmonary and Respiratory Medicine 107
  • Cancer Research 67
  • Biomedical Engineering 62
  • Epidemiology 51
Replace Yuka Matsuo with:
Yuka Matsuo Japan
Caiyuan Zhang China
Giovanna Vacca Italy
Sangeeta Taneja India
Toshihide Monden Japan
Katherine J. Blair United States
Salma Moalla France
David Kersting Germany
Takashi Norikane Japan
Naruhide Kimura Japan
Yuka Matsuo Japan View profile →
Citations per field, relative to Jianye Liang
Jianye Liang · 1×
Citations per year, relative to Jianye Liang
Jianye Liang · 1×

Countries citing papers authored by Jianye Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jianye Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianye Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianye Liang. A scholar is included among the top collaborators of Jianye Liang 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 Jianye Liang. Jianye Liang 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
# Work Indexed citations
1 4
2 3
3 1
4 20
5 16
6 10
7 18
8 30
9 15
10 48
11 15
12 21
13 20
14 50
15 26
16 16
17 16
18 15
19 22
20 38

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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