Hong Ai

893 total citations · 1 hit paper
17 papers, 620 citations indexed

About

Hong Ai is a scholar working on Biomedical Engineering, Epidemiology and Hepatology. According to data from OpenAlex, Hong Ai has authored 17 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Epidemiology and 4 papers in Hepatology. Recurrent topics in Hong Ai's work include Ultrasound and Hyperthermia Applications (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Hong Ai is often cited by papers focused on Ultrasound and Hyperthermia Applications (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). Hong Ai collaborates with scholars based in China, United States and Australia. Hong Ai's co-authors include Liping Yin, Yongping Lu, Liping Huang, Jian Zheng, Jie Tian, Tianan Jiang, Hui Zhou, Rongqin Zheng, Xiaoyan Xie and Changzhu Liu and has published in prestigious journals such as Gut, Journal of Pharmacology and Experimental Therapeutics and Pharmaceutical Research.

In The Last Decade

Hong Ai

17 papers receiving 600 citations

Hit Papers

Deep learning Radiomics o... 2018 2026 2020 2023 2018 100 200 300
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. Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study
    2018 380 citations Kun Wang, Xue Lu et al. Gut profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Ai China 9 279 208 191 121 79 17 620
Si‐Min Ruan China 14 351 1.3× 171 0.8× 320 1.7× 87 0.7× 68 0.9× 43 657
Sichi Kuang China 14 246 0.9× 198 1.0× 281 1.5× 72 0.6× 28 0.4× 22 497
Yongyan Gao China 13 295 1.1× 162 0.8× 255 1.3× 193 1.6× 77 1.0× 18 795
Jae Hyun Kim South Korea 13 256 0.9× 106 0.5× 133 0.7× 98 0.8× 29 0.4× 44 477
Franck Vandenbroucke‐Menu Canada 16 312 1.1× 117 0.6× 261 1.4× 123 1.0× 114 1.4× 41 907
Tiffany Hennedige Singapore 16 234 0.8× 185 0.9× 267 1.4× 55 0.5× 21 0.3× 33 658
Daniel Stocker Switzerland 15 318 1.1× 142 0.7× 168 0.9× 75 0.6× 21 0.3× 46 604

Countries citing papers authored by Hong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ai

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

All Works

17 of 17 papers shown
1.
Ai, Hong, et al.. (2018). Acoustic Structure Quantification Versus Point Shear Wave Speed Measurement for the Assessment of Liver Fibrosis in Viral Hepatitis B. Ultrasound in Medicine & Biology. 44(6). 1177–1186. 6 indexed citations
2.
Tian, Tian, Lina Chen, Hong Ai, et al.. (2018). Ultrasound Combined with Microbubbles Enhances the Effects of Methylprednisolone in Lipopolysaccharide-Induced Human Mesangial Cells. Journal of Pharmacology and Experimental Therapeutics. 365(3). 476–484. 4 indexed citations
3.
Wang, Kun, Xue Lu, Hui Zhou, et al.. (2018). Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study. Gut. 68(4). 729–741. 380 indexed citations breakdown →
4.
5.
Ai, Hong, et al.. (2016). Liver Shear-Wave Velocity and Serum Fibrosis Markers to Diagnose Hepatic Fibrosis in Patients with Chronic Viral Hepatitis B. Korean Journal of Radiology. 17(3). 396–396. 24 indexed citations
6.
Zhang, Jingyao, Jie Ma, Dapeng Wu, et al.. (2014). Clinical and Genetic Investigation of a Multi-generational Chinese Family Afflicted with Von Hippel-Lindau Disease. Chinese Medical Journal. 128(1). 32–38. 6 indexed citations
7.
Ruan, Litao, et al.. (2014). Doppler perfusion index and contrast-enhanced ultrasound in patients with colorectal cancer liver metastases.. PubMed. 61(129). 37–41. 1 indexed citations
8.
9.
Ren, Shuting, Xiaoning Kang, Yiping Li, et al.. (2013). The Antitumor Effect of a New Docetaxel-Loaded Microbubble Combined with Low-Frequency Ultrasound In Vitro: Preparation and Parameter Analysis. Pharmaceutical Research. 30(6). 1574–1585. 24 indexed citations
10.
Zhang, Jingyao, Dapeng Wu, Hong Ai, et al.. (2013). Epidemiological study of a von Hippel-Lindau family in northwest China. Frontiers of Medicine. 7(3). 378–385. 2 indexed citations
11.
Ren, Shuting, Xiaoning Kang, Wei Wang, et al.. (2013). The ultrasound contrast imaging properties of lipid microbubbles loaded with urokinase in dog livers and their thrombolytic effects when combined with low-frequency ultrasound in vitro. Journal of Thrombosis and Thrombolysis. 37(3). 303–309. 8 indexed citations
12.
Wang, Juan, et al.. (2011). Real-time elastography with a novel quantitative technology for assessment of liver fibrosis in chronic hepatitis B. European Journal of Radiology. 81(1). e31–e36. 69 indexed citations
13.
Wang, Bing, Wei‐Jin Zang, Mei Wang, et al.. (2006). Prolonging the Ultrasound Signal Enhancement From Thrombi Using Targeted Microbubbles Based on Sulfur-Hexafluoride–Filled Gas. Academic Radiology. 13(4). 428–433. 19 indexed citations
14.
Guo, Jing-Ming, et al.. (2005). [Clinical efficacy of recombinant human interleukin 11 on thrombocytopenia in pre-aplastic anemia].. PubMed. 13(1). 151–3. 1 indexed citations
15.
Ai, Hong, José E. Barrera, Arlen D. Meyers, Kenneth R. Shroyer, & Marileila Varella‐Garcia. (2001). Chromosomal Aneuploidy Precedes Morphological Changes and Supports Multifocality in Head and Neck Lesions. The Laryngoscope. 111(10). 1853–1858. 18 indexed citations
16.
Ai, Hong, et al.. (1999). Identification of individuals at high risk for head and neck carcinogenesis using chromosome aneuploidy detected by fluorescence in situ hybridization. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 439(2). 223–232. 29 indexed citations
17.
Barrera, José E., Hong Ai, Zhaoxing Pan, Arlen D. Meyers, & Marileila Varella‐Garcia. (1998). Malignancy Detection by Molecular Cytogenetics in Clinically Normal Mucosa Adjacent to Head and Neck Tumors. Archives of Otolaryngology - Head and Neck Surgery. 124(8). 847–847. 17 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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