Hong Ai

27 total papers · 887 total citations
17 papers, 611 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 611 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 Singapore. Hong Ai's co-authors include Changzhu Liu, Hui Zhou, Jian Zheng, Jie Tian, Xue Lu, Xiaoyan Xie, Liping Yin, Rongqin Zheng, Yongyan Gao and Tianan Jiang 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 591 citations

Hit Papers

Deep learning Radiomics o... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Hong Ai 274 206 190 118 77 17 611
An-Hua Li 207 0.8× 77 0.4× 99 0.5× 123 1.0× 91 1.2× 22 526
Isabel Schobert 408 1.5× 107 0.5× 329 1.7× 97 0.8× 166 2.2× 18 684
Jean-François Geschwind 206 0.8× 155 0.8× 293 1.5× 56 0.5× 36 0.5× 25 664
Charlie Alexander Hamm 417 1.5× 73 0.4× 225 1.2× 92 0.8× 182 2.4× 24 657
Jie Chen 197 0.7× 175 0.8× 259 1.4× 23 0.2× 77 1.0× 24 503
Francesca Patella 224 0.8× 66 0.3× 176 0.9× 59 0.5× 146 1.9× 24 634
Tiffany Hennedige 232 0.8× 184 0.9× 259 1.4× 55 0.5× 20 0.3× 33 648
Li Su 97 0.4× 120 0.6× 299 1.6× 207 1.8× 21 0.3× 21 630
Shuwen Sun 461 1.7× 57 0.3× 364 1.9× 80 0.7× 57 0.7× 15 636
Ruediger E. Schernthaner 316 1.2× 80 0.4× 168 0.9× 131 1.1× 30 0.4× 28 600

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026