Teng Cao

28 total papers · 876 total citations
24 papers, 662 citations indexed

About

Teng Cao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Teng Cao has authored 24 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Teng Cao's work include EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (7 papers) and Graphene research and applications (6 papers). Teng Cao is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (7 papers) and Graphene research and applications (6 papers). Teng Cao collaborates with scholars based in China, Macao and United States. Teng Cao's co-authors include Feng Wan, Chi Man Wong, Janir Nuno da Cruz, Yong Hu, Zhiyu Xiang, Jilin Liu, Pui‐In Mak, Peng Un Mak, Mang I Vai and Liang‐Feng Huang and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Teng Cao

23 papers receiving 639 citations

Author Peers

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

Author						Papers	Cites
Teng Cao	360	173	116	105	94	24	662
Nan Bu	248 0.7×	99 0.6×	47 0.4×	109 1.0×	53 0.6×	48	611
Jiang Xiao	437 1.2×	71 0.4×	45 0.4×	47 0.4×	20 0.2×	30	669
Shaolong Kuang	256 0.7×	127 0.7×	163 1.4×	70 0.7×	47 0.5×	64	705
Hongmiao Zhang	370 1.0×	154 0.9×	127 1.1×	86 0.8×	13 0.1×	34	556
Dominik Zimmermann	423 1.2×	76 0.4×	84 0.7×	72 0.7×	15 0.2×	21	627
Jingjing Chen	373 1.0×	133 0.8×	51 0.4×	47 0.4×	20 0.2×	44	774
Changcheng Wu	336 0.9×	189 1.1×	196 1.7×	149 1.4×	43 0.5×	67	792
Shuo Yang	237 0.7×	64 0.4×	91 0.8×	29 0.3×	23 0.2×	78	579
Haiyun Huang	390 1.1×	71 0.4×	87 0.8×	56 0.5×	12 0.1×	45	659
Remigiusz J. Rak	244 0.7×	55 0.3×	81 0.7×	71 0.7×	14 0.1×	67	634

Countries citing papers authored by Teng Cao

Since Specialization

Citations

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

Fields of papers citing papers by Teng Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Cao. A scholar is included among the top collaborators of Teng Cao 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 Teng Cao. Teng Cao 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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