D. Xu

594 total citations
10 papers, 382 citations indexed

About

D. Xu is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, D. Xu has authored 10 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in D. Xu's work include Autism Spectrum Disorder Research (4 papers), Child Nutrition and Feeding Issues (2 papers) and Neural Networks and Applications (2 papers). D. Xu is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), Child Nutrition and Feeding Issues (2 papers) and Neural Networks and Applications (2 papers). D. Xu collaborates with scholars based in United States, China and Poland. D. Xu's co-authors include Sharmistha Gray, D. Kimbrough Oller, Partha Niyogi, Jill Gilkerson, Umit Yapanel, J Richards, Steven F. Warren, Hsiao‐Chun Wu, Jimmy Xiangji Huang and José C. Prı́ncipe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Autism and Developmental Disorders and BMC Public Health.

In The Last Decade

D. Xu

9 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Xu United States	5	179	138	72	60	56	10	382
Florian B. Pokorny Austria	15	171 1.0×	200 1.4×	99 1.4×	61 1.0×	69 1.2×	35	546
Kévin Bailly France	12	65 0.4×	191 1.4×	46 0.6×	33 0.6×	8 0.1×	32	546
Mariano Tepper United States	11	29 0.2×	240 1.7×	66 0.9×	52 0.9×	8 0.1×	29	460
Andreas Tsiartas United States	13	48 0.3×	84 0.6×	297 4.1×	46 0.8×	16 0.3×	35	632
Sanford E. Gerber United States	9	67 0.4×	138 1.0×	22 0.3×	20 0.3×	28 0.5×	46	333
Tracy Westeyn United States	8	58 0.3×	179 1.3×	36 0.5×	25 0.4×	2 0.0×	11	395
Giovanna Varni Italy	12	33 0.2×	187 1.4×	101 1.4×	14 0.2×	8 0.1×	51	506
Robert W. Shannon United States	9	104 0.6×	418 3.0×	15 0.2×	35 0.6×	13 0.2×	13	566
Philip DeCamp United States	7	139 0.8×	39 0.3×	63 0.9×	7 0.1×	8 0.1×	7	267
Colleen Richey United States	16	65 0.4×	105 0.8×	511 7.1×	34 0.6×	16 0.3×	35	797

Countries citing papers authored by D. Xu

Since Specialization

Citations

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

Fields of papers citing papers by D. Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Xu

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Qi, Kai, et al.. (2025). Effect of physical activity on motor disorders in children with autism spectrum disorder: a systematic review and meta-analysis. International Journal of Developmental Disabilities. 1–13.

Sun, Zhiyuan, Yunhao Yuan, Vahid Farrahi, et al.. (2024). Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES. BMC Public Health. 24(1). 3034–3034. 4 indexed citations

Xu, D., Zhiyuan Sun, Ya‐Hui Yang, et al.. (2024). Effects of Ball Combination Exercise Combined with cTBS Intervention on Sleep Problems in Children with Autism. Journal of Autism and Developmental Disorders. 56(1). 241–255. 3 indexed citations

Sun, Zhiyuan, Kelong Cai, Lina Zhu, et al.. (2024). Effects of mini-basketball training program on social communication impairments and salience network in preschool children with autism spectrum disorder. International Journal of Developmental Disabilities. 1–14. 1 indexed citations

Oller, D. Kimbrough, Partha Niyogi, Sharmistha Gray, et al.. (2010). Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development. Proceedings of the National Academy of Sciences. 107(30). 13354–13359. 265 indexed citations

Wu, Hsiao‐Chun, Jimmy Xiangji Huang, & D. Xu. (2006). Novel Semi-Blind ICI Equalization Algorithm for Wireless OFDM Systems. IEEE Transactions on Broadcasting. 52(2). 211–218. 32 indexed citations

Wu, Hsiao‐Chun, Xuejun Huang, & D. Xu. (2005). Pilot-Free Dynamic Phase and Amplitude Estimations for Wireless ICI Self-Cancellation Coded OFDM Systems. IEEE Transactions on Broadcasting. 51(1). 94–105. 26 indexed citations

Prasad, Rohit, Spyros Matsoukas, D. Xu, et al.. (2005). The 2004 BBN/LIMSI 20xRT English conversational telephone speech recognition system. 1645–1648. 31 indexed citations

Xu, D. & José C. Prı́ncipe. (2002). Learning from examples with quadratic mutual information. 155–164. 16 indexed citations

10.

Xu, D. & José C. Prı́ncipe. (2002). Feature evaluation using quadratic mutual information. 1. 459–463. 4 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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