Hong Yu

1.4k total citations
68 papers, 883 citations indexed

About

Hong Yu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Dermatology. According to data from OpenAlex, Hong Yu has authored 68 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 14 papers in Molecular Biology and 11 papers in Dermatology. Recurrent topics in Hong Yu's work include Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Hong Yu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced biosensing and bioanalysis techniques (7 papers). Hong Yu collaborates with scholars based in China, United States and South Korea. Hong Yu's co-authors include Zhirong Yao, Ming Li, Ruhong Cheng, Guoqing Shen, Yun Deng, Jiangxiong Zhu, Jianying Liang, Xueqing Geng, Lumei Wang and Chunxiao Li and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Hong Yu

55 papers receiving 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Yu China 16 290 166 160 125 112 68 883
Katja Evert Germany 19 433 1.5× 260 1.6× 133 0.8× 155 1.2× 58 0.5× 79 1.3k
Mona Biermann Germany 17 442 1.5× 153 0.9× 91 0.6× 74 0.6× 126 1.1× 28 1.2k
Takeshi Tamaki Japan 23 453 1.6× 159 1.0× 224 1.4× 177 1.4× 85 0.8× 94 1.8k
C. Darrell Jennings United States 20 450 1.6× 107 0.6× 172 1.1× 106 0.8× 83 0.7× 58 1.8k
Aoife Maguire Ireland 18 428 1.5× 81 0.5× 112 0.7× 101 0.8× 52 0.5× 34 1.0k
Tania Pannellini United States 23 413 1.4× 158 1.0× 44 0.3× 74 0.6× 70 0.6× 51 1.5k
Shinichi Sasaki Japan 21 266 0.9× 86 0.5× 404 2.5× 148 1.2× 125 1.1× 81 1.2k
Kun He China 19 533 1.8× 44 0.3× 152 0.9× 120 1.0× 44 0.4× 44 1.2k
Feng Jin China 18 296 1.0× 133 0.8× 137 0.9× 61 0.5× 44 0.4× 58 1.0k
Yin Liu China 18 294 1.0× 99 0.6× 118 0.7× 86 0.7× 30 0.3× 62 839

Countries citing papers authored by Hong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Yu. A scholar is included among the top collaborators of Hong Yu 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 Hong Yu. Hong Yu 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.
Zhu, Lin, Oyunbileg von Stackelberg, Simon M. F. Triphan, et al.. (2025). Longitudinal MRI in comparison to low-dose CT for follow-up of incidental pulmonary nodules in patients with COPD—a nationwide multicenter trial. European Radiology. 35(10). 6336–6349.
2.
Yu, Hong, et al.. (2024). Near-surface imaging by joint analysis of traffic-induced Rayleigh and Love waves using 3C dense linear arrays: A case study in Hangzhou, China. Journal of Applied Geophysics. 222. 105317–105317. 2 indexed citations
3.
Wang, Kui, Chunhua Zhou, Hong Yu, et al.. (2024). Development and validation of web-based risk score predicting prognostic nomograms for elderly patients with primary colorectal lymphoma: A population-based study. Journal of Translational Internal Medicine. 12(6). 569–580. 8 indexed citations
4.
Bao, Jiahao, Shuguang Xiang, Hao Liu, et al.. (2024). Deep Learning–Based Facial and Skeletal Transformations for Surgical Planning. Journal of Dental Research. 103(8). 809–819. 6 indexed citations
5.
Liu, Yu, et al.. (2024). Machine Vision Method for Crack Detection and Pattern Recognition in UHPC Prestressed Beams. Journal of Structural Engineering. 151(2).
6.
Yu, Hong, Chen Wang, Yang Wang, et al.. (2023). Development of Fe-N-C single-atom nanozymes assisted aptasensor for the detection of acetamiprid in water samples. Microchemical Journal. 193. 109174–109174. 15 indexed citations
7.
Zhang, Zhen, et al.. (2023). Coexistence of Subcutaneous Panniculitis-Like T-Cell Lymphoma and Dermatomyositis in a 12-Year-Old Boy. Annals of Dermatology. 35(Suppl 1). S79–S83.
9.
Zhang, Chunlei, Kexiang Yan, Qingchun Diao, et al.. (2022). A multicenter, randomized, double-blinded, placebo-controlled, dose-ranging study evaluating the efficacy and safety of vunakizumab in patients with moderate-to-severe plaque psoriasis. Journal of the American Academy of Dermatology. 87(1). 95–102. 13 indexed citations
10.
Nie, Wei, Guangyu Tao, Jie Qian, et al.. (2022). Prognostic and predictive value of radiomic signature in stage I lung adenocarcinomas following complete lobectomy. Journal of Translational Medicine. 20(1). 339–339. 4 indexed citations
11.
Chen, Fuying, Lei Yao, Xue Zhang, et al.. (2021). Damaged Keratin Filament Network Caused by KRT5 Mutations in Localized Recessive Epidermolysis Bullosa Simplex. Frontiers in Genetics. 12. 736610–736610. 6 indexed citations
12.
Zeng, Xin, Jiajun Yu, Lifen Wang, et al.. (2021). Sarcopenia as a prognostic predictor of liver cirrhosis: a multicentre study in China. Journal of Cachexia Sarcopenia and Muscle. 12(6). 1948–1958. 92 indexed citations
13.
Liang, Jianying, Yifeng Guo, Zhiyong Lu, et al.. (2021). Woolly hair nevus caused by somatic mutation and Costello syndrome caused by germline mutation in HRAS: Consider parental mosaicism in prenatal counseling. The Journal of Dermatology. 49(1). 161–164. 2 indexed citations
14.
Li, Ying, et al.. (2021). A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules. European Radiology. 32(4). 2672–2682. 9 indexed citations
15.
Liang, Jianying, Hui Zhang, Yifeng Guo, et al.. (2019). Coinheritance of generalized pustular psoriasis and familial Behçet‐like autoinflammatory syndrome with variants in IL36RN and TNFAIP3 in the heterozygous state. The Journal of Dermatology. 46(10). 907–910. 10 indexed citations
16.
Zhang, Zhen, Ruhong Cheng, Jianying Liang, et al.. (2019). Ankyloblepharon–ectodermal dysplasia–clefting syndrome misdiagnosed as epidermolysis bullosa and congenital ichthyosiform erythroderma: Case report and review of published work. The Journal of Dermatology. 46(5). 422–425. 10 indexed citations
18.
Li, Congying, et al.. (2017). Generalized eruptive keratoacanthoma with vitiligo followed by the development of prurigo nodularis: A case report and published work review. The Journal of Dermatology. 45(2). 211–215. 2 indexed citations
19.
Tao, Le, Jianxin Qiu, Ming Jiang, et al.. (2016). Infiltrating T Cells Promote Bladder Cancer Progression via Increasing IL1→Androgen Receptor→HIF1α→VEGFa Signals. Molecular Cancer Therapeutics. 15(8). 1943–1951. 18 indexed citations
20.

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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