He Wang

6.4k total citations · 1 hit paper
299 papers, 4.6k citations indexed

About

He Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, He Wang has authored 299 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Radiology, Nuclear Medicine and Imaging, 76 papers in Pulmonary and Respiratory Medicine and 38 papers in Epidemiology. Recurrent topics in He Wang's work include MRI in cancer diagnosis (50 papers), Advanced Neuroimaging Techniques and Applications (45 papers) and Radiomics and Machine Learning in Medical Imaging (37 papers). He Wang is often cited by papers focused on MRI in cancer diagnosis (50 papers), Advanced Neuroimaging Techniques and Applications (45 papers) and Radiomics and Machine Learning in Medical Imaging (37 papers). He Wang collaborates with scholars based in China, United States and United Kingdom. He Wang's co-authors include Deborah A. Kuban, Rex Cheung, Lei Dong, Radhe Mohan, J OˈDaniel, Mark Bonnen, Adam S. Garden, K. Kian Ang, Joe Y. Chang and Evropi Τheodoratou and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

He Wang

267 papers receiving 4.5k citations

Hit Papers

Validation of an accelera... 2005 2026 2012 2019 2005 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy
    2005 473 citations He Wang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
He Wang 2.0k 976 578 517 505 299 4.6k
Jin Sung Kim 1.2k 0.6× 914 0.9× 1.1k 1.9× 1.1k 2.1× 614 1.2× 404 6.4k
Isabella Castiglioni 1.8k 0.9× 1.3k 1.4× 566 1.0× 249 0.5× 3.1k 6.1× 166 8.2k
Liselotte Højgaard 2.5k 1.2× 1.2k 1.2× 443 0.8× 257 0.5× 363 0.7× 189 5.4k
Raymond Y. Huang 2.5k 1.2× 1.1k 1.1× 526 0.9× 69 0.1× 556 1.1× 122 4.8k
Arman Rahmim 6.6k 3.3× 1.2k 1.2× 2.4k 4.1× 1.2k 2.4× 365 0.7× 444 9.0k
David Liu 1.5k 0.8× 2.2k 2.3× 908 1.6× 674 1.3× 393 0.8× 271 8.1k
Weiling Zhao 1.3k 0.6× 967 1.0× 272 0.5× 85 0.2× 1.9k 3.8× 112 4.6k
Christobel Saunders 1.1k 0.6× 744 0.8× 1.4k 2.4× 445 0.9× 541 1.1× 318 7.1k
Michael Fulham 3.7k 1.9× 1.5k 1.5× 763 1.3× 247 0.5× 1.1k 2.1× 269 9.0k

Countries citing papers authored by He Wang

Since Specialization
Citations

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

Fields of papers citing papers by He Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Wang

This figure shows the co-authorship network connecting the top 25 collaborators of He Wang. A scholar is included among the top collaborators of He 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 He Wang. He 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.
Wang, Zi, Min Xiao, Chengyan Wang, et al.. (2025). Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI. IEEE Transactions on Biomedical Engineering. 72(12). 3642–3654. 2 indexed citations
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Wang, He, Fei Luan, Yajun Shi, et al.. (2024). Extraction, structural features, and pharmacological effects of the polysaccharides from Porphyra yezoensis: A review. International Journal of Biological Macromolecules. 279(Pt 1). 134745–134745. 7 indexed citations
5.
Yu, Le, Shanshan Zheng, Xiao’ao Xue, et al.. (2024). Neural structural alterations correlates of quadriceps muscle strength deficits in patients after anterior cruciate ligament reconstruction. Asia-Pacific Journal of Sports Medicine Arthroscopy Rehabilitation and Technology. 39. 30–36.
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Cheng, Yu, Guangzheng Zhang, Junyi Luo, et al.. (2024). Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease. Stroke and Vascular Neurology. 9(6). 699–707.
8.
You, Chao, Guan-Hua Su, Xu Zhang, et al.. (2024). Multicenter radio-multiomic analysis for predicting breast cancer outcome and unravelling imaging-biological connection. npj Precision Oncology. 8(1). 193–193. 10 indexed citations
9.
Chen, Jian, Yanyan Liu, Feixiang Chen, et al.. (2024). Non-Faradaic optoelectrodes for safe electrical neuromodulation. Nature Communications. 15(1). 405–405. 11 indexed citations
10.
Liu, Youxia, He Wang, Hongfen Li, et al.. (2023). Effect of hematuria on the kidney disease progression in IgA nephropathy patients with mild proteinuria and well-preserved renal function. International Immunopharmacology. 122. 110635–110635. 2 indexed citations
11.
Dai, Yuxiang, Chengyan Wang, & He Wang. (2023). Deep compressed sensing MRI via a gradient‐enhanced fusion model. Medical Physics. 50(3). 1390–1405. 3 indexed citations
12.
Zheng, Rencheng, et al.. (2023). A Coarse-to-Fine Fusion Network for Small Liver Tumor Detection and Segmentation: A Real-World Study. Diagnostics. 13(15). 2504–2504. 3 indexed citations
13.
Wang, Chengyan, Zhang Shi, Yan Li, et al.. (2023). Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project. PubMed. 3(6). 642–656. 8 indexed citations
14.
Yang, Zidong, H.‐J. Lv, Yilin Wang, et al.. (2022). Day to Day Blood Pressure Variability Associated With Cerebral Arterial Dilation and White Matter Hyperintensity. Hypertension. 79(7). 1455–1465. 11 indexed citations
15.
Wang, He, Qian Yu, Jingwen Wang, et al.. (2022). Hypomethylation of thymosin β4 promoter is associated with glucocorticoid therapy in patients with acute-on-chronic hepatitis B-induced liver failure. International Health. 15(1). 19–29. 3 indexed citations
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Wang, He, et al.. (2020). Circulating Tumor Cells as a Screening and Diagnostic Marker for Early-Stage Non-Small Cell Lung Cancer. SHILAP Revista de lepidopterología. 1 indexed citations
18.
Fan, Yanghua, et al.. (2020). The application of artificial intelligence technology in the diagnosis and treatment of pituitary adenoma. SHILAP Revista de lepidopterología.
19.
Wang, He, et al.. (2016). Correlation between epidermal growth factor receptor tyrosine kinase inhibitor efficacy and circulating tumor cell levels in patients with advanced non-small cell lung cancer. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Cai, Zhiping, et al.. (2016). The prevalence of lacunar infarct decreases with aging in the elderly: a case-controlled analysis. SHILAP Revista de lepidopterología.

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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