Hsu‐Hsia Peng

547 total citations
36 papers, 400 citations indexed

About

Hsu‐Hsia Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Hsu‐Hsia Peng has authored 36 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Biomedical Engineering. Recurrent topics in Hsu‐Hsia Peng's work include Advanced MRI Techniques and Applications (13 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Hsu‐Hsia Peng is often cited by papers focused on Advanced MRI Techniques and Applications (13 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Hsu‐Hsia Peng collaborates with scholars based in Taiwan, China and United States. Hsu‐Hsia Peng's co-authors include Wen‐Yih Isaac Tseng, Hsi‐Yu Yu, Hsiao‐Wen Chung, Fu‐Nien Wang, Jaw‐Lin Wang, Chih‐Yung Wen, Mao‐Yuan Su, Shin‐Lei Peng, Fang‐Yue Lin and Teng‐Yi Huang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Scientific Reports.

In The Last Decade

Hsu‐Hsia Peng

32 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsu‐Hsia Peng Taiwan 12 158 146 93 73 66 36 400
Hiroyasu Takeda Japan 13 57 0.4× 206 1.4× 168 1.8× 30 0.4× 64 1.0× 27 482
Kong Xiangquan China 9 43 0.3× 95 0.7× 69 0.7× 32 0.4× 53 0.8× 27 343
Liesbeth Geerts Netherlands 10 121 0.8× 191 1.3× 75 0.8× 52 0.7× 56 0.8× 11 354
Xiuling Qi Canada 13 149 0.9× 213 1.5× 56 0.6× 79 1.1× 111 1.7× 35 526
Mingxin Gao China 12 164 1.0× 43 0.3× 98 1.1× 35 0.5× 133 2.0× 43 426
В. В. Сидоров Russia 13 66 0.4× 241 1.7× 32 0.3× 77 1.1× 26 0.4× 68 453
Frieke M.A. Box Netherlands 9 126 0.8× 116 0.8× 167 1.8× 23 0.3× 69 1.0× 14 397
M. Choy United States 10 347 2.2× 217 1.5× 91 1.0× 80 1.1× 128 1.9× 15 607
Elsa Melloni Italy 16 47 0.3× 247 1.7× 215 2.3× 257 3.5× 31 0.5× 29 680

Countries citing papers authored by Hsu‐Hsia Peng

Since Specialization
Citations

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

Fields of papers citing papers by Hsu‐Hsia Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu‐Hsia Peng. 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 Hsu‐Hsia Peng. The network helps show where Hsu‐Hsia Peng may publish in the future.

Co-authorship network of co-authors of Hsu‐Hsia Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu‐Hsia Peng. A scholar is included among the top collaborators of Hsu‐Hsia Peng 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 Hsu‐Hsia Peng. Hsu‐Hsia Peng 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.
Dong, C., Hsu‐Hsia Peng, Jingru Zhang, et al.. (2025). Behavioral responses and transcriptional dynamics of the stream fish (Acrossocheilus fasciatus) under temperature change. Water Biology and Security. 5(1). 100413–100413. 1 indexed citations
2.
Nguyên, Duy Tân, Hsu‐Hsia Peng, Yen Chang, et al.. (2025). Noninvasive Vagus Nerve Electrical Stimulation for Immune Modulation in Sepsis Therapy. Journal of the American Chemical Society. 147(10). 8406–8421. 5 indexed citations
3.
Wang, Ruoyu, et al.. (2025). Is perceived safety a prerequisite for the relationship between green space availability, and the use and perceived comfort of green space?. Wellbeing Space and Society. 8. 100247–100247. 2 indexed citations
4.
5.
Peng, Hsu‐Hsia, et al.. (2024). Orally Ingested Self‐Powered Stimulators for Targeted Gut–Brain Axis Electrostimulation to Treat Obesity and Metabolic Disorders. Advanced Materials. 36(21). e2310351–e2310351. 14 indexed citations
6.
Liu, Yi‐Jui, Yahui Li, Hing‐Chiu Chang, et al.. (2024). Understanding ADC variation by fat content effect using a dual-function MRI phantom. European Radiology Experimental. 8(1). 19–19.
7.
Li, Yahui, Hsiao‐Wen Chung, Chia‐Ching Chang, et al.. (2023). The role of input imaging combination and ADC threshold on segmentation of acute ischemic stroke lesion using U-Net. European Radiology. 33(9). 6157–6167. 1 indexed citations
8.
Huang, Sheng‐Min, Sheng‐Min Huang, Hsu‐Hsia Peng, et al.. (2023). Imbalance of synaptic and extrasynaptic NMDA receptors induced by the deletion of CRMP1 accelerates age-related cognitive decline in mice. Neurobiology of Aging. 135. 48–59. 5 indexed citations
9.
Juan, Chun‐Jung, Yahui Li, Chia‐Ching Chang, et al.. (2022). Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds. European Radiology. 32(8). 5371–5381. 9 indexed citations
10.
Hsu, Kang, et al.. (2022). Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography. Scientific Reports. 12(1). 19809–19809. 25 indexed citations
11.
Chen, Yu‐Chieh, Ken‐Pen Weng, Kai‐Sheng Hsieh, et al.. (2019). Hepatic pathology in patients after Fontan operation. Journal of the Chinese Medical Association. 82(11). 856–860. 1 indexed citations
12.
13.
Huang, Sheng‐Min, Shin‐Lei Peng, Hsu‐Hsia Peng, et al.. (2016). Inter-Strain Differences in Default Mode Network: A Resting State fMRI Study on Spontaneously Hypertensive Rat and Wistar Kyoto Rat. Scientific Reports. 6(1). 21697–21697. 34 indexed citations
14.
Peng, Hsu‐Hsia, Shih‐Tsung Kang, Jiawei Zhang, et al.. (2015). Real‐time monitoring of inertial cavitation effects of microbubbles by using MRI: In vitro experiments. Magnetic Resonance in Medicine. 77(1). 102–111. 7 indexed citations
15.
Wang, Fu‐Nien, et al.. (2013). Water signal attenuation by D2O infusion as a novel contrast mechanism for 1H perfusion MRI. NMR in Biomedicine. 26(6). 692–698. 14 indexed citations
16.
Peng, Hsu‐Hsia, Teng‐Yi Huang, Fu‐Nien Wang, & Hsiao‐Wen Chung. (2012). Flow-gated radial phase-contrast imaging in the presence of weak flow. International journal of cardiac imaging. 29(1). 131–140. 1 indexed citations
17.
Peng, Hsu‐Hsia, Simon Bauer, Teng‐Yi Huang, et al.. (2010). Optimized parallel imaging for dynamic PC‐MRI with multidirectional velocity encoding. Magnetic Resonance in Medicine. 64(2). 472–480. 12 indexed citations
18.
Chang, Chih-Hung, et al.. (2009). Numerical Simulation of an Aortic Flow Based on a HLLC Type Incompressible Flow Solver. 6 indexed citations
19.
Chang, Chih-Hung, et al.. (2009). A Transient HLLC type Incompressible Riemann Solver and Application on Aortic Flows Simulation.
20.
Peng, Hsu‐Hsia, Hsiao‐Wen Chung, Hsi‐Yu Yu, & Wen‐Yih Isaac Tseng. (2006). Estimation of pulse wave velocity in main pulmonary artery with phase contrast MRI: Preliminary investigation. Journal of Magnetic Resonance Imaging. 24(6). 1303–1310. 31 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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