Kejun Tu

20 total papers · 654 total citations
13 papers, 560 citations indexed

About

Kejun Tu is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Kejun Tu has authored 13 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 8 papers in Electrical and Electronic Engineering and 4 papers in Cognitive Neuroscience. Recurrent topics in Kejun Tu's work include Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (4 papers) and Advanced Memory and Neural Computing (4 papers). Kejun Tu is often cited by papers focused on Neuroscience and Neural Engineering (10 papers), EEG and Brain-Computer Interfaces (4 papers) and Advanced Memory and Neural Computing (4 papers). Kejun Tu collaborates with scholars based in China, United States and Switzerland. Kejun Tu's co-authors include Limei Pan, Fei Du, Jian Yang, Conor P. Cullen, Niall McEvoy, Chuanfang Zhang, Tai Qiu, Wenlong Li, Huan Tang and Chenbao Lu and has published in prestigious journals such as Advanced Materials, Nature Communications and Advanced Functional Materials.

In The Last Decade

Kejun Tu

8 papers receiving 552 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kejun Tu	388	244	229	77	56	13	560
Teng‐Yu Su	491 1.3×	358 1.5×	226 1.0×	134 1.7×	80 1.4×	20	692
Caroline Bonnet	405 1.0×	115 0.5×	292 1.3×	64 0.8×	20 0.4×	25	531
Qilu Liu	327 0.8×	257 1.1×	264 1.2×	120 1.6×	72 1.3×	26	592
Dawei Xi	292 0.8×	265 1.1×	384 1.7×	114 1.5×	58 1.0×	19	677
Haisu Kang	377 1.0×	145 0.6×	208 0.9×	119 1.5×	61 1.1×	23	584
Fufei An	274 0.7×	112 0.5×	116 0.5×	166 2.2×	123 2.2×	8	513
Krantiveer V. More	251 0.6×	219 0.9×	218 1.0×	67 0.9×	60 1.1×	22	518
Bing Fu	287 0.7×	246 1.0×	240 1.0×	22 0.3×	31 0.6×	16	507
Fandi Chen	475 1.2×	121 0.5×	224 1.0×	239 3.1×	89 1.6×	32	690
Dongha Kim	315 0.8×	264 1.1×	61 0.3×	61 0.8×	148 2.6×	28	533

Countries citing papers authored by Kejun Tu

Since Specialization

Citations

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

Fields of papers citing papers by Kejun Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejun Tu

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

All Works

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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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