Wen‐Ping Wang

5.8k total citations
221 papers, 3.3k citations indexed

About

Wen‐Ping Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Wen‐Ping Wang has authored 221 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Surgery, 83 papers in Pulmonary and Respiratory Medicine and 75 papers in Hepatology. Recurrent topics in Wen‐Ping Wang's work include Hepatocellular Carcinoma Treatment and Prognosis (69 papers), Liver Disease Diagnosis and Treatment (36 papers) and MRI in cancer diagnosis (33 papers). Wen‐Ping Wang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (69 papers), Liver Disease Diagnosis and Treatment (36 papers) and MRI in cancer diagnosis (33 papers). Wen‐Ping Wang collaborates with scholars based in China, Germany and Switzerland. Wen‐Ping Wang's co-authors include Yi Dong, Beijian Huang, Hong Ding, Feng Mao, Long-Qi Chen, Chaolun Li, Zhengbiao Ji, Jiaying Cao, Wentao Kong and Daohui Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Wen‐Ping Wang

203 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen‐Ping Wang China 31 1.2k 1.1k 893 778 538 221 3.3k
Tommaso Vincenzo Bartolotta Italy 28 593 0.5× 495 0.4× 826 0.9× 632 0.8× 402 0.7× 130 2.4k
Olaf Dirsch Germany 37 1.3k 1.1× 653 0.6× 373 0.4× 918 1.2× 273 0.5× 184 4.1k
Tianan Jiang China 26 467 0.4× 371 0.3× 801 0.9× 548 0.7× 319 0.6× 166 3.0k
Paolo Delrio Italy 32 1.4k 1.2× 923 0.8× 868 1.0× 1.1k 1.4× 456 0.8× 144 4.5k
Vahid Yaghmai United States 37 1.5k 1.3× 1.0k 0.9× 1.6k 1.8× 1.6k 2.1× 443 0.8× 168 4.6k
Kousei Ishigami Japan 33 1.4k 1.2× 880 0.8× 1.2k 1.4× 1.0k 1.3× 268 0.5× 265 3.8k
David A. Iannitti United States 39 2.1k 1.8× 1.3k 1.2× 343 0.4× 1.1k 1.4× 504 0.9× 231 4.6k
Hong Ding China 27 584 0.5× 331 0.3× 495 0.6× 866 1.1× 431 0.8× 155 2.2k
Thomas Albrecht Germany 41 2.2k 1.8× 1.5k 1.4× 946 1.1× 944 1.2× 951 1.8× 196 6.4k
Yoshiki Asayama Japan 34 1.3k 1.1× 908 0.8× 1.3k 1.5× 1.4k 1.8× 168 0.3× 174 3.6k

Countries citing papers authored by Wen‐Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Ping Wang. 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 Wen‐Ping Wang. The network helps show where Wen‐Ping Wang may publish in the future.

Co-authorship network of co-authors of Wen‐Ping Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Ping Wang. A scholar is included among the top collaborators of Wen‐Ping Wang 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 Wen‐Ping Wang. Wen‐Ping Wang 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.
Chen, Guang, et al.. (2025). Biochemical Insights into Lipid Remodeling in Wheat Anthers Under High-Temperature Stress. International Journal of Molecular Sciences. 26(23). 11426–11426.
2.
3.
Liu, Fangyi, Xiang Jing, Hong Ding, et al.. (2024). Multiparametric US for Identifying Metabolic Dysfunction–associated Steatohepatitis: A Prospective Multicenter Study. Radiology. 310(3). e232416–e232416. 8 indexed citations
4.
Jiao, Weiwei, Yehua Cai, Haobo Chen, et al.. (2024). Cross-modality segmentation of ultrasound image with generative adversarial network and dual normalization network. Pattern Recognition. 157. 110953–110953. 1 indexed citations
5.
Zhang, Hongzhen, et al.. (2023). Construction of a mortality risk prediction model for elderly people at risk of lobectomy for NSCLC. Frontiers in Surgery. 9. 1055338–1055338.
6.
Dong, Yi, et al.. (2023). The diagnostic value of Doppler Resistive Index in the differential diagnosis of focal liver lesions. Journal of Ultrasonography. 23(93). 45–52. 4 indexed citations
7.
Shang, Qi‐Xin, et al.. (2022). Is Tumor Regression Grade Sufficient to Predict Survival in Esophageal Cancer with Trimodal Therapy?. Journal of Investigative Surgery. 35(11-12). 1818–1823. 2 indexed citations
8.
Dong, Yi, Wen‐Ping Wang, Adrian Lim, et al.. (2021). Ultrasound findings in peliosis hepatis. ULTRASONOGRAPHY. 40(4). 546–554. 16 indexed citations
9.
Zhang, Qi, et al.. (2018). Artificial Intelligence Based Diagnosis for Cervical Lymph Node Malignancy Using the Point-Wise Gated Boltzmann Machine. IEEE Access. 6. 60605–60612. 8 indexed citations
10.
Wang, Wen‐Ping, et al.. (2018). Enhancement characteristics of liver focal nodular hyperplasia (less than 3 cm) by contrast-enhanced ultrasound. Zhonghua chaosheng yingxiangxue zazhi. 27(11). 931–935.
11.
Chen, Zhi, et al.. (2017). Effects of Saponin from Trigonella Foenum-Graecum Seeds on Dyslipidemia. SHILAP Revista de lepidopterología. 11 indexed citations
12.
Lü, Qing, Beijian Huang, Lixia Yan, et al.. (2016). Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer. European Journal of Radiology. 86. 267–275. 36 indexed citations
13.
Zhang, Qi, et al.. (2014). Computer-aided quantification of contrast agent spatial distribution within atherosclerotic plaque in contrast-enhanced ultrasound image sequences. Biomedical Signal Processing and Control. 13. 50–61. 26 indexed citations
14.
Xue, Liyun, et al.. (2012). Study of influential factors in evaluating tissue stiffness by virtual touch tissue quantification. Zhonghua chaosheng yingxiangxue zazhi. 21(6). 526–528. 1 indexed citations
15.
Huang, Beijian, et al.. (2011). Contrast-enhanced ultrasonography in ureteral lesions: a preliminary study. Zhonghua chaosheng yingxiangxue zazhi. 20(3). 245–248. 1 indexed citations
16.
Huang, Beijian, et al.. (2010). Contrast-enhanced ultrasonographic diagnosis of renal pelvic carcinoma. Zhongguo yixue yingxiang jishu. 26(3). 553–555. 1 indexed citations
17.
Wei, Ruixue, Wen‐Ping Wang, Hong Ding, et al.. (2010). Comparison of enhancement features of primary hepatocellular carcinoma and recurrent hepatocelluar carcinoma on contrast-enhanced ultrasonography. Zhonghua chaosheng yingxiangxue zazhi. 19(9). 773–775. 1 indexed citations
18.
Wang, Wen‐Ping, Ying Wu, Yan Luo, et al.. (2009). Clinical value of contrast-enhanced ultrasonography in the characterization of focal liver lesions: a prospective multicenter trial.. PubMed. 8(4). 370–6. 15 indexed citations
19.
Wang, Wen‐Ping. (2005). Revising Tropesis of Partial Chinese Traditional Medicine in Edition2005Pharmacopoeia of PRC(Draft Showed in Public). Zhongguo yaofang. 1 indexed citations
20.
Wang, Wen‐Ping. (2000). Ultrasonographic diagnosis of focal nodular hyperplasia of the liver. 1 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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