Jing Dai

39 papers and 598 indexed citations i.

About

Jing Dai is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Jing Dai has authored 39 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Cognitive Neuroscience. Recurrent topics in Jing Dai’s work include Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Jing Dai is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (5 papers), Functional Brain Connectivity Studies (4 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). Jing Dai collaborates with scholars based in China, United States and Hong Kong. Jing Dai's co-authors include Eric D. Caine, Sandra S. M. Chan, Qiyong Gong, Yu‐Tao Xiang, Manxi He, Helen Chiu, Xin Yu, Su Lui, John A. Sweeney and Xiaoqi Huang and has published in prestigious journals such as Advanced Materials, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Jing Dai i

Fields of papers citing papers by Jing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Dai

Since Specialization
Citations

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

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2025