Yunlong Xie

826 total citations
20 papers, 601 citations indexed

About

Yunlong Xie is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Statistics and Probability. According to data from OpenAlex, Yunlong Xie has authored 20 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pediatrics, Perinatology and Child Health, 4 papers in Obstetrics and Gynecology and 4 papers in Statistics and Probability. Recurrent topics in Yunlong Xie's work include Statistical Methods and Bayesian Inference (3 papers), Birth, Development, and Health (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Yunlong Xie is often cited by papers focused on Statistical Methods and Bayesian Inference (3 papers), Birth, Development, and Health (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Yunlong Xie collaborates with scholars based in United States, China and Rwanda. Yunlong Xie's co-authors include Zhen Chen, S. Katherine Laughon, Tuija Männistö, Jagteshwar Grewal, Pauline Mendola, Gaurav Ghosh, Rajeshwari Sundaram, Edwina Yeung, Germaine M. Buck Louis and Yong-Ping Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.

In The Last Decade

Yunlong Xie

19 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunlong Xie United States 9 255 226 142 95 59 20 601
Anela Tosevska Austria 16 131 0.5× 46 0.2× 21 0.1× 51 0.5× 18 0.3× 27 809
Roy Harper United Kingdom 15 93 0.4× 205 0.9× 275 1.9× 101 1.1× 4 0.1× 40 717
Charlotte K. Boughton United Kingdom 21 52 0.2× 20 0.1× 1.0k 7.1× 55 0.6× 16 0.3× 59 1.3k
Daniela Elleri United Kingdom 24 103 0.4× 140 0.6× 1.8k 12.7× 36 0.4× 3 0.1× 54 2.1k
Michael E. Lantz United States 10 351 1.4× 165 0.7× 6 0.0× 272 2.9× 26 0.4× 20 734
Jordan E. Pinsker United States 22 41 0.2× 39 0.2× 1.1k 7.5× 60 0.6× 6 0.1× 80 1.4k
Hassan Eftekhar Ardebili Iran 12 51 0.2× 22 0.1× 22 0.2× 87 0.9× 27 0.5× 19 561
Gbolahan Olatunji Nigeria 12 29 0.1× 16 0.1× 30 0.2× 75 0.8× 47 0.8× 125 573
Stefan Konigorski Germany 10 24 0.1× 12 0.1× 46 0.3× 82 0.9× 14 0.2× 36 584
R. de Bruin Netherlands 11 86 0.3× 13 0.1× 67 0.5× 59 0.6× 8 0.1× 24 410

Countries citing papers authored by Yunlong Xie

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Xie

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

All Works

20 of 20 papers shown
1.
Xie, Yunlong, et al.. (2025). A multi-day and high-quality EEG dataset for motor imagery brain-computer interface. Scientific Data. 12(1). 488–488. 2 indexed citations
3.
Xie, Yunlong, et al.. (2025). The Vicious Cycle of Peer Stress and Self‐Directed Violence Among Chinese Left‐Behind Adolescents: The Mediating Role of Relative Deprivation. Aggressive Behavior. 51(3). e70035–e70035. 1 indexed citations
4.
Zhao, Yong-Ping, Yunlong Xie, & Zhifeng Ye. (2021). A new dynamic radius SVDD for fault detection of aircraft engine. Engineering Applications of Artificial Intelligence. 100. 104177–104177. 41 indexed citations
5.
Yang, Banghua, et al.. (2020). EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system. Medical & Biological Engineering & Computing. 58(7). 1515–1528. 32 indexed citations
6.
Xie, Yunlong, et al.. (2020). Anxiety and Depression Diagnosis Method Based on Brain Networks and Convolutional Neural Networks. PubMed. 2020. 1503–1506. 28 indexed citations
7.
Louis, Germaine M. Buck, Erin M. Bell, Yunlong Xie, Rajeshwari Sundaram, & Edwina Yeung. (2018). Parental health status and infant outcomes: Upstate KIDS Study. Fertility and Sterility. 109(2). 315–323. 2 indexed citations
8.
Xie, Yunlong, et al.. (2017). Detecting Android Malware Based on Extreme Learning Machine. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 47–53. 13 indexed citations
9.
Yeung, Edwina, Rajeshwari Sundaram, Akhgar Ghassabian, Yunlong Xie, & Germaine M. Buck Louis. (2017). Parental Obesity and Early Childhood Development. PEDIATRICS. 139(2). 41 indexed citations
10.
Liu, Danping, Edwina Yeung, Alexander C. McLain, et al.. (2017). A Two‐Step Approach for Analysis of Nonignorable Missing Outcomes in Longitudinal Regression: an Application to Upstate KIDS Study. Paediatric and Perinatal Epidemiology. 31(5). 468–478. 5 indexed citations
11.
Yeung, Edwina, Rajeshwari Sundaram, Erin M. Bell, et al.. (2016). Examining Infertility Treatment and Early Childhood Development in the Upstate KIDS Study. JAMA Pediatrics. 170(3). 251–251. 50 indexed citations
13.
Fan, Ruzong, Victoria Chen, Yunlong Xie, et al.. (2015). A Functional Data Analysis Approach for Circadian Patterns of Activity of Teenage Girls. SHILAP Revista de lepidopterología. 13. 3–3. 3 indexed citations
14.
Brooks‐Russell, Ashley, Kevin P. Conway, Danping Liu, et al.. (2015). Dynamic Patterns of Adolescent Substance Use: Results From a Nationally Representative Sample of High School Students. Journal of Studies on Alcohol and Drugs. 76(6). 962–970. 19 indexed citations
15.
Ghosh, Gaurav, Jagteshwar Grewal, Tuija Männistö, et al.. (2014). Racial/ethnic differences in pregnancy-related hypertensive disease in nulliparous women.. PubMed. 24(3). 283–9. 147 indexed citations
16.
Ehsani, Johnathon P., Bruce G. Simons‐Morton, Yunlong Xie, Sheila G. Klauer, & Paul S. Albert. (2014). The association between kinematic risky driving among parents and their teenage children: Moderation by shared personality characteristics. Accident Analysis & Prevention. 69. 56–61. 8 indexed citations
17.
Chen, Zhen & Yunlong Xie. (2014). Marginal analysis of measurement agreement among multiple raters with non-ignorable missing ratings. Statistics and Its Interface. 7(1). 113–120. 2 indexed citations
18.
Männistö, Tuija, Pauline Mendola, Jagteshwar Grewal, et al.. (2013). Thyroid Diseases and Adverse Pregnancy Outcomes in a Contemporary US Cohort. The Journal of Clinical Endocrinology & Metabolism. 98(7). 2725–2733. 196 indexed citations
19.
Xie, Yunlong, Zhen Chen, & Paul S. Albert. (2013). A crossed random effects modeling approach for estimating diagnostic accuracy from ordinal ratings without a gold standard. Statistics in Medicine. 32(20). 3472–3485. 6 indexed citations
20.
Xie, Yunlong & Dale L. Zimmerman. (2013). Antedependence models for nonstationary categorical longitudinal data with ignorable missingness: likelihood‐based inference. Statistics in Medicine. 32(19). 3274–3289. 3 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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