Song Chen

50 total papers · 488 total citations
30 papers, 352 citations indexed

About

Song Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Song Chen has authored 30 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Song Chen's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Glaucoma and retinal disorders (3 papers). Song Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Glaucoma and retinal disorders (3 papers). Song Chen collaborates with scholars based in China, United States and Slovenia. Song Chen's co-authors include Junhong Li, Timothy Perk, Xuena Li, Yufan Xiang, Yan‐Hui Liu, Robert Jeraj, Yaming Li, Meijie Chen, Steve Cho and Stephanie A. Harmon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics in Medicine and Biology and Medicine.

In The Last Decade

Song Chen

25 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Song Chen	141	121	82	65	48	30	352
Jiwon Sung	115 0.8×	100 0.8×	64 0.8×	100 1.5×	58 1.2×	35	356
David Mampre	53 0.4×	52 0.4×	76 0.9×	48 0.7×	151 3.1×	29	388
Claudia Duranti	52 0.4×	39 0.3×	197 2.4×	34 0.5×	21 0.4×	33	380
Junfa Chen	96 0.7×	104 0.9×	93 1.1×	47 0.7×	20 0.4×	41	387
Hyder Arastu	103 0.7×	127 1.0×	71 0.9×	153 2.4×	18 0.4×	25	380
Zhiyong Li	97 0.7×	127 1.0×	63 0.8×	61 0.9×	8 0.2×	35	399
Mirwais Wardak	50 0.4×	216 1.8×	46 0.6×	52 0.8×	65 1.4×	25	395
Jingzhi Li	103 0.7×	41 0.3×	72 0.9×	116 1.8×	24 0.5×	32	396
Li Wang	43 0.3×	50 0.4×	158 1.9×	21 0.3×	73 1.5×	28	383
Xing Yang	105 0.7×	39 0.3×	77 0.9×	38 0.6×	60 1.3×	35	333

Countries citing papers authored by Song Chen

Since Specialization

Citations

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

Fields of papers citing papers by Song Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Song Chen. A scholar is included among the top collaborators of Song Chen 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 Song Chen. Song Chen 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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