Ge Dai

17 papers and 371 indexed citations i.

About

Ge Dai is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ge Dai has authored 17 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Biomedical Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Ge Dai’s work include Advanced biosensing and bioanalysis techniques (15 papers), Biosensors and Analytical Detection (9 papers) and Electrochemical sensors and biosensors (4 papers). Ge Dai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (15 papers), Biosensors and Analytical Detection (9 papers) and Electrochemical sensors and biosensors (4 papers). Ge Dai collaborates with scholars based in China. Ge Dai's co-authors include Feifei Luo, Qingjiang Wang, Pingang He, Yuqi Lu, Zhi Li, Zhaohui Chu, Fan Zhang, Shiyun Ai, Qingjiang Wang and Bo Chen and has published in prestigious journals such as Analytical Chemistry, Food Chemistry and Journal of Chromatography A.

In The Last Decade

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

Fields of papers citing papers by Ge Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ge Dai

Since Specialization
Citations

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