Dekang Yuan

667 total citations
9 papers, 208 citations indexed

About

Dekang Yuan is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Experimental and Cognitive Psychology. According to data from OpenAlex, Dekang Yuan has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Dekang Yuan's work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Mental Health Research Topics (2 papers). Dekang Yuan is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Mental Health Research Topics (2 papers). Dekang Yuan collaborates with scholars based in United States, China and Canada. Dekang Yuan's co-authors include Alexandra Potter, Sage Hahn, Nicholas Allgaier, Max M. Owens, Hugh Garavan, Matthew D. Albaugh, Bader Chaarani, Terry L. Jernigan, Wesley K. Thompson and Courtland S. Hyatt and has published in prestigious journals such as PLoS ONE, NeuroImage and Cerebral Cortex.

In The Last Decade

Dekang Yuan

9 papers receiving 207 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dekang Yuan United States	6	107	65	61	42	28	9	208
Sage Hahn United States	8	121 1.1×	77 1.2×	72 1.2×	48 1.1×	35 1.3×	14	271
Kerry L. Kinney United States	10	116 1.1×	128 2.0×	94 1.5×	30 0.7×	22 0.8×	28	300
Niamh MacSweeney United Kingdom	6	57 0.5×	35 0.5×	61 1.0×	21 0.5×	14 0.5×	16	177
Jaclyn S. Kirshenbaum United States	11	90 0.8×	101 1.6×	171 2.8×	37 0.9×	47 1.7×	21	312
Sileshi Demelash Ethiopia	6	82 0.8×	28 0.4×	42 0.7×	147 3.5×	22 0.8×	20	271
Alberto Rodríguez‐Lorenzana Ecuador	10	90 0.8×	45 0.7×	67 1.1×	81 1.9×	19 0.7×	28	252
Louise Lavrencic Australia	11	98 0.9×	27 0.4×	29 0.5×	117 2.8×	24 0.9×	22	307
Rachel Ellis Australia	8	85 0.8×	47 0.7×	74 1.2×	25 0.6×	21 0.8×	13	284
Clara Albiñana Denmark	10	47 0.4×	41 0.6×	84 1.4×	104 2.5×	26 0.9×	35	296
Karla C. Fettich United States	9	70 0.7×	66 1.0×	211 3.5×	33 0.8×	28 1.0×	9	340

Countries citing papers authored by Dekang Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Dekang Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dekang Yuan

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

All Works

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9 of 9 papers shown

Cao, Zhipeng, Renata B. Cupertino, Jonatan Ottino‐González, et al.. (2024). Unraveling the molecular relevance of brain phenotypes: A comparative analysis of null models and test statistics. NeuroImage. 293. 120622–120622. 2 indexed citations

Hahn, Sage, Max M. Owens, Dekang Yuan, et al.. (2022). Performance scaling for structural MRI surface parcellations: a machine learning analysis in the ABCD Study. Cerebral Cortex. 33(1). 176–194. 1 indexed citations

Yuan, Dekang, Sage Hahn, Nicholas Allgaier, et al.. (2022). Machine learning approaches linking brain function to behavior in the ABCD STOP task. Human Brain Mapping. 44(4). 1751–1766. 3 indexed citations

Owens, Max M., Alexandra Potter, Courtland S. Hyatt, et al.. (2021). Recalibrating expectations about effect size: A multi-method survey of effect sizes in the ABCD study. PLoS ONE. 16(9). e0257535–e0257535. 84 indexed citations

Owens, Max M., Sage Hahn, Nicholas Allgaier, et al.. (2021). One-year predictions of delayed reward discounting in the adolescent brain cognitive development study.. Experimental and Clinical Psychopharmacology. 30(6). 928–946. 7 indexed citations

Adise, Shana, Nicholas Allgaier, Jennifer Laurent, et al.. (2021). Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®. Developmental Cognitive Neuroscience. 49. 100948–100948. 37 indexed citations

Owens, Max M., Nicholas Allgaier, Sage Hahn, et al.. (2021). Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study. Translational Psychiatry. 11(1). 64–64. 28 indexed citations

Owens, Max M., Dekang Yuan, Sage Hahn, et al.. (2020). Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children. Cerebral Cortex. 30(12). 6083–6096. 40 indexed citations

Osler, Turner, Dekang Yuan, Zihao Huang, et al.. (2018). Variation in readmission rates among hospitals following admission for traumatic injury. Injury. 50(1). 173–177. 6 indexed citations

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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