Kael Dai

24 total papers · 1.6k total citations
8 papers, 241 citations indexed

About

Kael Dai is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Kael Dai has authored 8 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Kael Dai’s work include Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Functional Brain Connectivity Studies (3 papers). Kael Dai is often cited by papers focused on Neural dynamics and brain function (7 papers), Advanced Memory and Neural Computing (4 papers) and Functional Brain Connectivity Studies (3 papers). Kael Dai collaborates with scholars based in United States, Switzerland and France. Kael Dai's co-authors include Yazan N. Billeh, Sergey L. Gratiy, Anton Arkhipov, Christof Koch, Nathan W. Gouwens, Binghuang Cai, Ştefan Mihalaş, Shawn R. Olsen, Joshua H. Siegle and Reza Abbasi-Asl and has published in prestigious journals such as Neuron, PLoS ONE and eLife.

Co-authorship network of co-authors of Kael Dai

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

Kael Dai

8 papers receiving 241 citations

Fields of papers citing papers by Kael Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kael Dai

Since Specialization
Citations

This map shows the geographic impact of Kael 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 Kael Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kael 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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2026