Lirong Ai

419 citations
9 papers · 130 indexed · h-index 4
Topics
Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Decision-Making Techniques (2 papers)AI in cancer detection (2 papers)
Journals
Nature Communicationsnpj Digital MedicineProcedia Environmental Sciences
Partner nations
ChinaUnited States

In The Last Decade

Lirong Ai

5 papers receiving 127 citations

Peers

Lirong Ai
Comparison fields: 5 of 34
  • Radiology, Nuclear Medicine and Imaging 80
  • Artificial Intelligence 67
  • Pulmonary and Respiratory Medicine 37
  • Oncology 37
  • Cancer Research 18
Replace Zhou Dong with:
Zhou Dong China
Steven Xu United States
Ali Foroughi pour United States
Vincent Peter C. Magboo Philippines
Keluo Yao United States
Caisheng He China
Clemens P. Spielvogel Austria
Can Koyuncu United States
Jiande Wu United States
Runyu Hong United States
Lirong Ai relative to Zhou Dong China Zhou Dong's profile →
Citations per field
00.5×
Zhou Dong · 1×
Citations per year

Countries citing papers authored by Lirong Ai

Since Specialization
Citations

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

Fields of papers citing papers by Lirong Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lirong Ai

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 112
3 6
4
Collaborative filtering recommendation algorithm based on item attribute and cloud model filling
2
5
Research on Xen Inter Domain Communication Based on Shared Memory
0
6 0
7 0
8
Philosophical Significance of Universal Logic---On Second Revolution of Mathematical Logic
3
9 7

About Lirong Ai

Lirong Ai is a scholar working on Business and International Management, Health Information Management and Geography, Planning and Development, having authored 9 papers that have together received 130 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Decision-Making Techniques (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (80 citations), Health Informatics (4 citations) and Artificial Intelligence (67 citations). Lirong Ai has collaborated with scholars based in China and United States. Frequent co-authors include Wenlong Yu, Huiqing Zhang, Ying Chen, Zhou Zhou, Xianming Huang, Guanzhen Yu, Haoqing Yang, Hongwei Li, Yuxuan Zheng and Zhou Dong. Their work appears in journals such as Nature Communications, npj Digital Medicine and Procedia Environmental Sciences.

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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