Tzu-An Song

28 total papers · 558 total citations
17 papers, 354 citations indexed

About

Tzu-An Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Tzu-An Song has authored 17 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Biophysics. Recurrent topics in Tzu-An Song's work include Medical Imaging Techniques and Applications (13 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (4 papers). Tzu-An Song is often cited by papers focused on Medical Imaging Techniques and Applications (13 papers), Advanced Image Processing Techniques (7 papers) and Image and Signal Denoising Methods (4 papers). Tzu-An Song collaborates with scholars based in United States, Taiwan and Indonesia. Tzu-An Song's co-authors include Joyita Dutta, Fan Yang, Samadrita Roy Chowdhury, Masoud Malekzadeh, Quanzheng Li, Georges El Fakhri, Keith A. Johnson, Heidi I.L. Jacobs, Chi Liu and Juan Liu and has published in prestigious journals such as PLoS ONE, SLEEP and Physics in Medicine and Biology.

In The Last Decade

Tzu-An Song

14 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Tzu-An Song	185	113	59	58	46	17	354
Kola Babalola	130 0.7×	210 1.9×	35 0.6×	44 0.8×	8 0.2×	18	393
Yunbi Liu	214 1.2×	87 0.8×	110 1.9×	71 1.2×	13 0.3×	17	359
Junshen Xu	258 1.4×	64 0.6×	66 1.1×	77 1.3×	10 0.2×	13	353
Simon Francis	149 0.8×	190 1.7×	69 1.2×	44 0.8×	36 0.8×	8	393
Mahsa Shakeri	134 0.7×	163 1.4×	80 1.4×	65 1.1×	17 0.4×	20	363
Karim Armanious	202 1.1×	95 0.8×	50 0.8×	86 1.5×	8 0.2×	21	353
Gillian Macnaught	146 0.8×	79 0.7×	40 0.7×	29 0.5×	22 0.5×	29	341
Ivan Coronado	145 0.8×	82 0.7×	56 0.9×	58 1.0×	30 0.7×	12	328
Jean‐Yves Boire	146 0.8×	129 1.1×	42 0.7×	41 0.7×	78 1.7×	25	392
Samaneh Kazemifar	230 1.2×	86 0.8×	66 1.1×	105 1.8×	7 0.2×	9	371

Countries citing papers authored by Tzu-An Song

Since Specialization

Citations

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

Fields of papers citing papers by Tzu-An Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu-An Song

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