Ye Wang

859 total citations
54 papers, 592 citations indexed

About

Ye Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Surgery. According to data from OpenAlex, Ye Wang has authored 54 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Ye Wang's work include Radiomics and Machine Learning in Medical Imaging (7 papers), Corneal Surgery and Treatments (7 papers) and Corneal surgery and disorders (4 papers). Ye Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (7 papers), Corneal Surgery and Treatments (7 papers) and Corneal surgery and disorders (4 papers). Ye Wang collaborates with scholars based in China, United States and Taiwan. Ye Wang's co-authors include Peng Chen, Yong‐Xian Cheng, Min Liang, Yue‐Hu Wang, Lili Zhou, Fan Fan Hou, Xiaogang Tong, Chengfeng Xia, Zhaoli Chen and Suxia Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Ye Wang

52 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Wang China 13 179 135 74 66 58 54 592
Varun Chaudhary Canada 18 541 3.0× 162 1.2× 59 0.8× 69 1.0× 31 0.5× 89 1.1k
Menglu Liu China 19 95 0.5× 453 3.4× 41 0.6× 55 0.8× 79 1.4× 54 1.2k
Kenjiro Sato Japan 18 31 0.2× 196 1.5× 61 0.8× 42 0.6× 74 1.3× 48 869
José Manuel Garrido Spain 16 38 0.2× 159 1.2× 34 0.5× 105 1.6× 25 0.4× 55 766
Min A Lee South Korea 14 84 0.5× 93 0.7× 61 0.8× 130 2.0× 10 0.2× 69 516
Kristina Yeghiazaryan Germany 18 92 0.5× 300 2.2× 48 0.6× 121 1.8× 12 0.2× 45 989
Avni P. Finn United States 14 203 1.1× 117 0.9× 35 0.5× 28 0.4× 9 0.2× 66 686
Gavino Faa Italy 18 172 1.0× 144 1.1× 25 0.3× 245 3.7× 16 0.3× 64 884

Countries citing papers authored by Ye Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ye Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Wang. A scholar is included among the top collaborators of Ye 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 Ye Wang. Ye 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.
Di, Guohu, et al.. (2024). Role of vitamin A on the ocular surface. Experimental Eye Research. 250. 110179–110179. 4 indexed citations
2.
Huang, Weijia, et al.. (2024). Predicting malnutrition in gastric cancer patients using computed tomography(CT) deep learning features and clinical data. Clinical Nutrition. 43(3). 881–891. 11 indexed citations
3.
Han, Jun, Zhiyong Yang, Xi Chen, et al.. (2024). Anatomical and dosimetric variations during volumetric modulated arc therapy in patients with locally advanced nasopharyngeal carcinoma after induction therapy: Implications for adaptive radiation therapy. Clinical and Translational Radiation Oncology. 49. 100861–100861. 1 indexed citations
4.
Liu, Chaoying, Ye Wang, Yingying Liu, et al.. (2024). High Concentration of Iron Ions Contributes to Ferroptosis-Mediated Testis Injury. Biological Trace Element Research. 203(2). 891–902. 3 indexed citations
5.
Wang, Ye, et al.. (2024). Spatial downscaling of SMAP soil moisture to high resolution using machine learning over China’s Loess Plateau. CATENA. 247. 108492–108492. 1 indexed citations
6.
Ma, Liyun, Ye Wang, Tao Wang, et al.. (2023). Endoscopic management of duodenal perforation caused by foreign bodies in adults: A retrospective study. United European Gastroenterology Journal. 12(3). 390–398. 2 indexed citations
7.
Wang, Ye, Yuanliang Jiang, Hanhan Li, et al.. (2023). A study on the differential of solid lung adenocarcinoma and tuberculous granuloma nodules in CT images by Radiomics machine learning. Scientific Reports. 13(1). 5853–5853. 2 indexed citations
8.
Wang, Ye, Zhi‐Qiang Xu, Yongshi Yang, et al.. (2022). Identification and characterization of natural PR-1 protein as major allergen from Humulus japonicus pollen. Molecular Immunology. 153. 170–180. 3 indexed citations
9.
Yang, Yongshi, Zhi‐Qiang Xu, Ye Wang, et al.. (2022). A new cysteine protease allergen from Ambrosia trifida pollen: proforms and mature forms. Molecular Immunology. 147. 170–179. 7 indexed citations
10.
He, Huijing, Li Pan, Xiaolan Ren, et al.. (2022). The Effect of Body Adiposity and Alcohol Consumption on Serum Uric Acid: A Quantile Regression Analysis Based on the China National Health Survey. Frontiers in Nutrition. 8. 724497–724497. 4 indexed citations
11.
Xiong, Fei, et al.. (2021). The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT. Medicine. 100(12). e25307–e25307. 9 indexed citations
12.
Feng, Yifan, et al.. (2021). Nomograms predicting the overall survival and cancer-specific survival of patients with stage IIIC1 cervical cancer. BMC Cancer. 21(1). 450–450. 16 indexed citations
13.
Xu, Jianan, Ye Wang, You Li, et al.. (2020). A Case Study of Applying Metagenomic Sequencing in Precise Epidemiology for the COVID-19 Pandemic — Sichuan Province, China, 2020. China CDC Weekly. 2(47). 897–901. 1 indexed citations
14.
Berger, Alexandra, et al.. (2020). Racial disparities in analgesic use amongst patients presenting to the emergency department for kidney stones in the United States. The American Journal of Emergency Medicine. 39. 71–74. 25 indexed citations
15.
Meng, Ruilin, Xiaojun Xu, Yanjun Xu, et al.. (2019). Epidemiological characteristics of injury mortality in Guangdong Province, China, 2015. BMC Public Health. 19(1). 142–142. 7 indexed citations
16.
Rodriguez, Erik A., Ye Wang, Jessica L. Crisp, et al.. (2016). New Dioxaborolane Chemistry Enables [18F]-Positron-Emitting, Fluorescent [18F]-Multimodality Biomolecule Generation from the Solid Phase. Bioconjugate Chemistry. 27(5). 1390–1399. 27 indexed citations
17.
Hao, Xiaodan, Peng Chen, Zhaoli Chen, Suxia Li, & Ye Wang. (2015). Evaluating the Association between Keratoconus and Reported Genetic Loci in a Han Chinese Population. Ophthalmic Genetics. 36(2). 132–136. 39 indexed citations
18.
Chen, Peng, Ye Wang, Lingling Yang, et al.. (2012). Novel bioactivity of NHERF1 in corneal neovascularization. Graefe s Archive for Clinical and Experimental Ophthalmology. 250(11). 1615–1625. 1 indexed citations
19.
Gao, Hua, et al.. (2010). Establishment of a murine model of chronic corneal allograft dysfunction. Graefe s Archive for Clinical and Experimental Ophthalmology. 248(10). 1437–1445. 10 indexed citations
20.
Greenberg, Stan S., et al.. (1991). Calcium-Dependent and Independent Mechanisms of Contraction in Canine Lingual Artery to U-46619. Advances in experimental medicine and biology. 304. 491–498. 2 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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