Yuanyuan Dang

96 total papers · 870 total citations
54 papers, 568 citations indexed

About

Yuanyuan Dang is a scholar working on Epidemiology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Yuanyuan Dang has authored 54 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Yuanyuan Dang's work include Traumatic Brain Injury Research (15 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Yuanyuan Dang is often cited by papers focused on Traumatic Brain Injury Research (15 papers), Functional Brain Connectivity Studies (9 papers) and EEG and Brain-Computer Interfaces (7 papers). Yuanyuan Dang collaborates with scholars based in China, United States and Belgium. Yuanyuan Dang's co-authors include Jianghong He, Xiaoyu Xia, Ruxiang Xu, Yi Yang, Yi Yang, Yang Bai, Tianzi Jiang, Yue Cui, Mou Gao and Hongtian Zhang and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Yuanyuan Dang

47 papers receiving 555 citations

Author Peers

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

Author						Papers	Cites
Yuanyuan Dang	255	155	124	88	76	54	568
Katherine O’Brien	154 0.6×	122 0.8×	94 0.8×	44 0.5×	71 0.9×	33	642
Lucio D’Anna	128 0.5×	92 0.6×	176 1.4×	93 1.1×	21 0.3×	27	614
Xiangming Ye	149 0.6×	153 1.0×	89 0.7×	129 1.5×	15 0.2×	59	694
Yichao Jin	134 0.5×	61 0.4×	210 1.7×	79 0.9×	36 0.5×	39	560
Joshua P. Klein	164 0.6×	52 0.3×	253 2.0×	34 0.4×	48 0.6×	42	669
Štefan Sivák	214 0.8×	39 0.3×	193 1.6×	23 0.3×	114 1.5×	51	600
Li Y	169 0.7×	41 0.3×	181 1.5×	103 1.2×	30 0.4×	57	531
Israel Melamed	199 0.8×	29 0.2×	219 1.8×	119 1.4×	64 0.8×	47	681
Francesco Pinto	77 0.3×	52 0.3×	169 1.4×	57 0.6×	65 0.9×	32	504
Jianwen Gu	183 0.7×	40 0.3×	238 1.9×	54 0.6×	84 1.1×	34	580

Countries citing papers authored by Yuanyuan Dang

Since Specialization

Citations

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

Fields of papers citing papers by Yuanyuan Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanyuan Dang

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