Hong Ai

893 citations
17 papers · 620 indexed · 1 hit paper · h-index 9
Topics
Ultrasound and Hyperthermia Applications (6 papers)Liver Disease Diagnosis and Treatment (5 papers)Photoacoustic and Ultrasonic Imaging (5 papers)

In The Last Decade

Hong Ai

17 papers receiving 600 citations

Hit Papers

Deep learning Radiomics of shear wave elastography signif...20182026202020232018100200300

Peers

Hong Ai
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 279
  • Epidemiology 208
  • Hepatology 191
  • Biomedical Engineering 121
  • Artificial Intelligence 79
Replace Yongyan Gao with:
Yongyan Gao China
Franck Vandenbroucke‐Menu Canada
Si‐Min Ruan China
Daniel Stocker Switzerland
Sung Ui Shin South Korea
Nadim Al Hajjar Romania
Éric Zhang United States
Octavia Bane United States
Wenwu Ling China
Hong Ai relative to Yongyan Gao China Yongyan Gao's profile →
Citations per field
00.5×1.5×
Yongyan Gao · 1×
Citations per year

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
#WorkIndexed citations
1 6
2
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre studybreakdown →
380
3 4
4 7
5 24
6 6
7
Doppler perfusion index and contrast-enhanced ultrasound in patients with colorectal cancer liver metastases.
1
8 5
9 2
10 8
11 24
12 69
13 19
14
[Clinical efficacy of recombinant human interleukin 11 on thrombocytopenia in pre-aplastic anemia].
1
15 18
16 29
17 17

About Hong Ai

Hong Ai is a scholar working on Hepatology, Cancer Research and Otorhinolaryngology, having authored 17 papers that have together received 620 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Hepatology (191 citations), Health Informatics (20 citations) and Radiology, Nuclear Medicine and Imaging (279 citations). Hong Ai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jie Tian, Changzhu Liu, Kun Wang, Rongqin Zheng, Liping Huang, Fankun Meng, Ping Liang, Liping Yin, Jian Zheng and Hui Zhou. Their work appears in journals such as Gut, Journal of Pharmacology and Experimental Therapeutics and Pharmaceutical Research.

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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