Changliang Su

685 total citations
21 papers, 495 citations indexed

About

Changliang Su is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Materials Chemistry. According to data from OpenAlex, Changliang Su has authored 21 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in Changliang Su's work include MRI in cancer diagnosis (12 papers), Glioma Diagnosis and Treatment (9 papers) and Advanced MRI Techniques and Applications (9 papers). Changliang Su is often cited by papers focused on MRI in cancer diagnosis (12 papers), Glioma Diagnosis and Treatment (9 papers) and Advanced MRI Techniques and Applications (9 papers). Changliang Su collaborates with scholars based in China, United States and Canada. Changliang Su's co-authors include Jingjing Jiang, Wenzhen Zhu, Lingyun Zhao, Nanxi Shen, Shun Zhang, Ju Zhang, Rifeng Jiang, Taoran Deng, Yi Xiao and Jiaxuan Zhang and has published in prestigious journals such as American Journal of Neuroradiology, Oncotarget and Journal of Magnetic Resonance Imaging.

In The Last Decade

Changliang Su

20 papers receiving 491 citations

Peers

Changliang Su
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 384
  • Genetics 183
  • Materials Chemistry 77
  • Molecular Biology 59
  • Cancer Research 49
Replace Ramesh Paudyal with:
Ramesh Paudyal United States
Madhava Aryal United States
Ararat Chakhoyan United States
Theresa Kumar Norway
Jessica Donig United States
Taryar Zaw United States
Sangeeta Taneja India
Jayant Narang United States
Christopher E. Benton United Kingdom
Spyridon Tsiouris Greece
Ramesh Paudyal United States View profile →
Citations per field, relative to Changliang Su
Changliang Su · 1×
Citations per year, relative to Changliang Su
Changliang Su · 1×

Countries citing papers authored by Changliang Su

Since Specialization
Citations

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

Fields of papers citing papers by Changliang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changliang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Changliang Su. A scholar is included among the top collaborators of Changliang Su 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 Changliang Su. Changliang Su 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 1
2 0
3 1
4 1
5 15
6 19
7 5
8
T2-FLAIR, DWI and DKI radiomics satisfactorily predicts histological grade and Ki-67 proliferation index in gliomas.
10
9 8
10 12
11 7
12
Survival prediction of high-grade glioma patients with diffusion kurtosis imaging.
14
13 83
14 19
15 1
16 52
17 40
18 26
19 100
20 12

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026