Ying-Chi Tseng

1.1k total citations
26 papers, 637 citations indexed

About

Ying-Chi Tseng is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ying-Chi Tseng has authored 26 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 11 papers in Epidemiology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ying-Chi Tseng's work include Intracranial Aneurysms: Treatment and Complications (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Acute Ischemic Stroke Management (6 papers). Ying-Chi Tseng is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Acute Ischemic Stroke Management (6 papers). Ying-Chi Tseng collaborates with scholars based in Taiwan, Italy and Canada. Ying-Chi Tseng's co-authors include Chi-Jen Chen, Hui‐Ling Hsu, Hui-Ling Hsu, David Yen-Ting Chen, Chi‐Jen Chen, Yon‐Cheong Wong, Li-Jen Wang, Wen‐Ta Chiu, Tsong-Hai Lee and Timothy Lane and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Ying-Chi Tseng

26 papers receiving 613 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ying-Chi Tseng Taiwan 15 250 239 185 149 108 26 637
Bizhan Aarabi United States 19 218 0.9× 368 1.5× 418 2.3× 71 0.5× 64 0.6× 39 974
Hari H. Dash India 17 98 0.4× 352 1.5× 323 1.7× 79 0.5× 54 0.5× 58 870
B. Martin Eicke Germany 20 246 1.0× 280 1.2× 163 0.9× 306 2.1× 35 0.3× 32 944
Florian Doepp Germany 18 292 1.2× 880 3.7× 122 0.7× 150 1.0× 21 0.2× 43 1.2k
M. HANSON United States 11 150 0.6× 181 0.8× 228 1.2× 141 0.9× 38 0.4× 25 848
Kartik Bhatia Canada 18 194 0.8× 372 1.6× 102 0.6× 201 1.3× 78 0.7× 42 800
Karl A. Greene United States 16 129 0.5× 351 1.5× 403 2.2× 90 0.6× 36 0.3× 29 826
Christoph Wedekind Germany 16 230 0.9× 309 1.3× 121 0.7× 22 0.1× 121 1.1× 39 654
Joseph Schindler United States 14 556 2.2× 420 1.8× 110 0.6× 298 2.0× 32 0.3× 45 1.0k
Anthony K. Sestokas United States 19 148 0.6× 127 0.5× 721 3.9× 53 0.4× 123 1.1× 46 1.1k

Countries citing papers authored by Ying-Chi Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Chi Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Chi Tseng. 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 Ying-Chi Tseng. The network helps show where Ying-Chi Tseng may publish in the future.

Co-authorship network of co-authors of Ying-Chi Tseng

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Chi Tseng. A scholar is included among the top collaborators of Ying-Chi Tseng 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 Ying-Chi Tseng. Ying-Chi Tseng 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
1.
Loh, El‐Wui, Yen‐Kuang Lin, Tsai‐Wei Huang, et al.. (2020). Image Quality and Performance Benchmarks in Vehicle and Hospital Mammography. Clinical Breast Cancer. 20(3). e358–e365. 1 indexed citations
2.
Wu, Mei‐Yi, Shiou‐Fu Lin, Chien‐Min Lin, et al.. (2019). Progressive multifocal leukoencephalopathy in a renal transplant patient. Journal of NeuroVirology. 25(4). 612–615. 1 indexed citations
3.
Tseng, Ying-Chi, et al.. (2018). Uncommon pediatric stroke caused by MCA dissection presenting as initial loss of consciousness. Pediatrics & Neonatology. 59(6). 634–635. 1 indexed citations
4.
Chi, Nai‐Fang, Hsiao‐Lun Ku, David Yen-Ting Chen, et al.. (2018). Cerebral Motor Functional Connectivity at the Acute Stage: An Outcome Predictor of Ischemic Stroke. Scientific Reports. 8(1). 16803–16803. 24 indexed citations
5.
Chen, David Yen-Ting, et al.. (2017). Fluid-attenuated inversion recovery vascular hyperintensities in predicting cerebral hyperperfusion after intracranial arterial stenting. Neuroradiology. 59(8). 791–796. 3 indexed citations
6.
Tseng, Ying-Chi, et al.. (2016). In vitro comparison of intracranial stent visibility using various concentrations of gadolinium contrast agent under 1.5 T and 3 T MR angiography. Journal of NeuroInterventional Surgery. 9(4). 399–404. 4 indexed citations
7.
Tseng, Ying-Chi, et al.. (2016). Arterial Spin Labeling Perfusion Study in the Patients with Subacute Mild Traumatic Brain Injury. PLoS ONE. 11(2). e0149109–e0149109. 52 indexed citations
8.
Tseng, Ying-Chi, et al.. (2016). Spectral Imaging for Intracranial Stents and Stent Lumen. PLoS ONE. 11(1). e0145999–e0145999. 3 indexed citations
9.
Wu, Changwei W., et al.. (2015). APOE-ε4 Allele Altered the Rest-Stimulus Interactions in Healthy Middle-Aged Adults. PLoS ONE. 10(6). e0128442–e0128442. 9 indexed citations
10.
Chen, David Yen-Ting, Hui-Ling Hsu, Changwei W. Wu, et al.. (2015). Effect of Age on Working Memory Performance and Cerebral Activation after Mild Traumatic Brain Injury: A Functional MR Imaging Study. Radiology. 278(3). 854–862. 16 indexed citations
11.
Hsu, Hui-Ling, et al.. (2015). Sex Differences in Working Memory after Mild Traumatic Brain Injury: A Functional MR Imaging Study. Radiology. 276(3). 828–835. 34 indexed citations
12.
Chen, Chi‐Jen, et al.. (2013). May–Thurner syndrome: Correlation between digital subtraction and computed tomography venography. Journal of the Formosan Medical Association. 114(4). 363–368. 11 indexed citations
13.
Chen, Chi-Jen, Chih‐Hsiung Wu, Hui-Ling Hsu, et al.. (2012). Working Memory in Patients with Mild Traumatic Brain Injury: Functional MR Imaging Analysis. Radiology. 264(3). 844–851. 56 indexed citations
14.
Tseng, Ying-Chi, et al.. (2010). Gender Differences in Carpal Height Ratio in a Taiwanese Population. The Journal Of Hand Surgery. 35(2). 252–255. 14 indexed citations
15.
Tseng, Ying-Chi, Hui‐Ling Hsu, Tsong‐Hai Lee, Ching‐Lin Hsieh, & Chi‐Jen Chen. (2009). Prediction of Cerebral Hyperperfusion Syndrome After Carotid Stenting. Journal of Computer Assisted Tomography. 33(4). 540–545. 18 indexed citations
16.
Chen, Chi‐Jen, Ying-Chi Tseng, Hui‐Ling Hsu, & Shih‐Ming Jung. (2008). Microcystic Meningioma. Journal of Computer Assisted Tomography. 32(1). 130–134. 17 indexed citations
17.
Tseng, Ying-Chi, Hui‐Ling Hsu, Tsong-Hai Lee, & Chi-Jen Chen. (2007). Venous Reflux on Carotid Computed Tomography Angiography. Journal of Computer Assisted Tomography. 31(3). 360–364. 19 indexed citations
18.
Chen, Chi‐Jen, Ying-Chi Tseng, Hui‐Ling Hsu, & Shih‐Ming Jung. (2004). Imaging Predictors of Intracranial Ependymomas. Journal of Computer Assisted Tomography. 28(3). 407–413. 12 indexed citations
19.
Chen, Chi-Jen, Hui‐Ling Hsu, Ying-Chi Tseng, et al.. (2004). Hirayama Flexion Myelopathy: Neutral-Position MR Imaging Findings—Importance of Loss of Attachment. Radiology. 231(1). 39–44. 79 indexed citations
20.
Chen, Chi‐Jen, Hui‐Ling Hsu, Chi‐Chien Niu, et al.. (2003). Cervical Degenerative Disease at Flexion-Extension MR Imaging: Prediction Criteria. Radiology. 227(1). 136–142. 53 indexed citations

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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