Junqi Dai

2 papers and 32 indexed citations
i
.

About

Junqi Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junqi Dai has authored 2 papers receiving a total of 32 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junqi Dai’s work include Multimodal Machine Learning Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Digital Imaging for Blood Diseases (1 paper). Junqi Dai is often cited by papers focused on Multimodal Machine Learning Applications (2 papers), COVID-19 diagnosis using AI (1 paper) and Digital Imaging for Blood Diseases (1 paper). Junqi Dai collaborates with scholars based in China. Junqi Dai's co-authors include Xipeng Qiu, Yitao Liu, Hang Yan, Yunfan Shao, Zhe Li and Fei Yang and has published in prestigious journals such as Science China Information Sciences and ACM Transactions on Management Information Systems.

In The Last Decade

Co-authorship network of co-authors of Junqi Dai

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

Fields of papers citing papers by Junqi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Junqi Dai

Since Specialization
Citations

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

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