Changliang Su

30 total papers · 677 total citations
21 papers, 490 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 490 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 and United States. Changliang Su's co-authors include Jingjing Jiang, Wenzhen Zhu, Lingyun Zhao, Shun Zhang, Nanxi Shen, Ju Zhang, Taoran Deng, Rifeng Jiang, 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 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Changliang Su 380 180 76 59 49 21 490
Vibeke A. Larsen 257 0.7× 174 1.0× 23 0.3× 73 1.2× 38 0.8× 24 533
Madhava Aryal 282 0.7× 163 0.9× 27 0.4× 17 0.3× 28 0.6× 42 421
Sangeeta Taneja 341 0.9× 124 0.7× 13 0.2× 25 0.4× 59 1.2× 26 487
Taryar Zaw 283 0.7× 259 1.4× 11 0.1× 35 0.6× 47 1.0× 11 405
Yu Wang 81 0.2× 249 1.4× 34 0.4× 106 1.8× 122 2.5× 28 427
Evan M. Johnson 134 0.4× 44 0.2× 18 0.2× 80 1.4× 29 0.6× 19 409
H.J. Feldmann 173 0.5× 99 0.6× 32 0.4× 37 0.6× 92 1.9× 25 453
Rüdiger Bantleon 75 0.2× 113 0.6× 40 0.5× 97 1.6× 22 0.4× 17 413
Melanie Heilmann 385 1.0× 23 0.1× 54 0.7× 77 1.3× 49 1.0× 17 546
Michael Rasper 170 0.4× 88 0.5× 12 0.2× 106 1.8× 90 1.8× 23 510

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

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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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