Daohui Yang

424 total citations
19 papers, 301 citations indexed

About

Daohui Yang is a scholar working on Hepatology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daohui Yang has authored 19 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 8 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daohui Yang's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MRI in cancer diagnosis (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). Daohui Yang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), MRI in cancer diagnosis (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). Daohui Yang collaborates with scholars based in China, Germany and Switzerland. Daohui Yang's co-authors include Wen‐Ping Wang, Yi Dong, Qi Zhang, Yijie Qiu, Guoqing Wu, Yao Zhao, Jinhua Yu, Lingyun Yu, Christoph F. Dietrich and Feng Mao and has published in prestigious journals such as BMC Cancer, British Journal of Radiology and Journal of Nanobiotechnology.

In The Last Decade

Daohui Yang

16 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daohui Yang China 9 131 121 104 94 69 19 301
Zhengqiang Yang China 11 55 0.4× 136 1.1× 81 0.8× 98 1.0× 57 0.8× 33 351
Sang-Suk Han South Korea 6 82 0.6× 211 1.7× 88 0.8× 132 1.4× 121 1.8× 11 384
Cosmin Caraiani Romania 12 189 1.4× 111 0.9× 134 1.3× 146 1.6× 108 1.6× 43 441
Se Woo Kim South Korea 12 199 1.5× 114 0.9× 72 0.7× 102 1.1× 79 1.1× 23 366
Fu‐shun Pan China 12 79 0.6× 75 0.6× 120 1.2× 144 1.5× 59 0.9× 28 363
Hyunsik Woo South Korea 11 89 0.7× 154 1.3× 85 0.8× 124 1.3× 160 2.3× 18 349
Ki Choon Sim South Korea 10 124 0.9× 61 0.5× 115 1.1× 92 1.0× 56 0.8× 44 290
Larisa Săndulescu Romania 10 84 0.6× 164 1.4× 65 0.6× 76 0.8× 151 2.2× 56 349
Riccardo Muglia Italy 10 130 1.0× 147 1.2× 103 1.0× 106 1.1× 79 1.1× 33 383
Fabian Stoehr Germany 11 79 0.6× 106 0.9× 40 0.4× 49 0.5× 85 1.2× 25 270

Countries citing papers authored by Daohui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Daohui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daohui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Daohui Yang. A scholar is included among the top collaborators of Daohui Yang 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 Daohui Yang. Daohui Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Li, Xiao, Daohui Yang, Chong-Ke Zhao, et al.. (2025). Dynamic contrast-enhanced ultrasound perfusion analysis for preoperative prediction of aggressive hepatocellular carcinoma subtypes. Insights into Imaging. 16(1). 202–202.
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Yang, Daohui, et al.. (2024). Diagnostic performance of a modified O-RADS classification system for adnexal lesions incorporating clinical features. Abdominal Radiology. 50(2). 953–965. 1 indexed citations
5.
Yang, Daohui, et al.. (2024). Correlation between CEUS LI-RADS categorization of HCC < 20 mm and clinic-pathological features. Insights into Imaging. 15(1). 110–110. 2 indexed citations
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Qiu, Yijie, Juan Cheng, Qi Zhang, et al.. (2023). Clinical Application of High-Frame-Rate Vector Flow Imaging in Evaluation of Carotid Atherosclerotic Stenosis. Diagnostics. 13(3). 519–519. 3 indexed citations
8.
Yang, Daohui, Juan Cheng, Qi Zhang, et al.. (2023). Prediction of Pathological Grades of Pancreatic Neuroendocrine Tumors Based on Dynamic Contrast-Enhanced Ultrasound Quantitative Analysis. Diagnostics. 13(2). 238–238. 7 indexed citations
9.
Dong, Yi, Daohui Yang, Wenhui Lou, et al.. (2023). Pancreatic neuroendocrine tumor: prediction of tumor grades by radiomics models based on ultrasound images. British Journal of Radiology. 96(1149). 20220783–20220783. 8 indexed citations
10.
Qiu, Yijie, Yi Dong, Feng Mao, et al.. (2021). High-Frame Rate Vector Flow Imaging Technique: Initial Application in Evaluating the Hemodynamic Changes of Carotid Stenosis Caused by Atherosclerosis. Frontiers in Cardiovascular Medicine. 8. 617391–617391. 19 indexed citations
11.
Dong, Yi, Yijie Qiu, Daohui Yang, et al.. (2021). Potential application of dynamic contrast enhanced ultrasound in predicting microvascular invasion of hepatocellular carcinoma. Clinical Hemorheology and Microcirculation. 77(4). 461–469. 45 indexed citations
12.
Zhang, Qi, Lili Wu, Daohui Yang, et al.. (2020). Clinical application of dynamic contrast enhanced ultrasound in monitoring the treatment response of chemoradiotherapy of pancreatic ductal adenocarcinoma. Clinical Hemorheology and Microcirculation. 75(3). 325–334. 7 indexed citations
13.
Dong, Yi, Wen‐Ping Wang, Feng Mao, et al.. (2020). Imaging Features of Fibrolamellar Hepatocellular Carcinoma with Contrast-Enhanced Ultrasound. Ultraschall in der Medizin - European Journal of Ultrasound. 42(3). 306–313. 36 indexed citations
14.
Dong, Yi, Yijie Qiu, Qi Zhang, et al.. (2020). Preliminary Clinical Experience with Shear Wave Dispersion Imaging for Liver Viscosity in Preoperative Diagnosis of Focal Liver Lesions. Zeitschrift für Gastroenterologie. 58(9). 847–854. 6 indexed citations
15.
Dong, Yi, Qi Zhang, Yijie Qiu, et al.. (2019). Incidentally detected focal fundal gallbladder wall thickening: Differentiation contrast enhanced ultrasound features with high-resolution linear transducers. Clinical Hemorheology and Microcirculation. 74(3). 315–325. 12 indexed citations
16.
Dong, Yi, Lingxiao Liu, Qi Zhang, et al.. (2019). Differential diagnosis of focal gallbladder lesions: The added value of contrast enhanced ultrasound with liner transducers. Clinical Hemorheology and Microcirculation. 74(2). 167–178. 17 indexed citations
17.
Qiu, Yijie, et al.. (2019). V Flow technology in measurement of wall shear stress of common carotid arteries in healthy adults: Feasibility and normal values. Clinical Hemorheology and Microcirculation. 74(4). 453–462. 22 indexed citations
18.
Zhao, Yao, Yi Dong, Guoqing Wu, et al.. (2018). Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images. BMC Cancer. 18(1). 1089–1089. 100 indexed citations
19.
Dong, Yi, Feng Mao, Jiaying Cao, et al.. (2018). Differential diagnosis of gallbladder ascariasis debris: the added value of contrast enhanced ultrasound with high frequency transducer. Medical Ultrasonography. 20(4). 413–413. 13 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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