Yunling Xu

45 total papers · 575 total citations
31 papers, 391 citations indexed

About

Yunling Xu is a scholar working on Statistics and Probability, Economics and Econometrics and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yunling Xu has authored 31 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 19 papers in Economics and Econometrics and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yunling Xu's work include Advanced Causal Inference Techniques (20 papers), Statistical Methods in Clinical Trials (20 papers) and Health Systems, Economic Evaluations, Quality of Life (19 papers). Yunling Xu is often cited by papers focused on Advanced Causal Inference Techniques (20 papers), Statistical Methods in Clinical Trials (20 papers) and Health Systems, Economic Evaluations, Quality of Life (19 papers). Yunling Xu collaborates with scholars based in United States, Belgium and China. Yunling Xu's co-authors include Nelson Lu, Lilly Q. Yue, Heng Li, Ram C. Tiwari, Chenguang Wang, Wei-Chen Chen, Vandana Mukhi, Changhong Song, Bram Zuckerman and Gregory Campbell and has published in prestigious journals such as The Plant Cell, Statistics in Medicine and Chemistry & Biodiversity.

In The Last Decade

Yunling Xu

26 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Yunling Xu	334	183	27	25	12	31	391
Qi Jiang	194 0.6×	128 0.7×	25 0.9×	33 1.3×	20 1.7×	37	376
Matthew A. Psioda	145 0.4×	44 0.2×	51 1.9×	16 0.6×	49 4.1×	45	369
Olivier Guilbaud	334 1.0×	65 0.4×	182 6.7×	81 3.2×	29 2.4×	29	401
Sanjoy K. Sinha	274 0.8×	72 0.4×	101 3.7×	40 1.6×	8 0.7×	39	421
Alessandra Salvan	246 0.7×	76 0.4×	26 1.0×	41 1.6×	8 0.7×	36	382
Dominic Magirr	292 0.9×	122 0.7×	156 5.8×	49 2.0×	22 1.8×	20	346
Ping Gao	192 0.6×	59 0.3×	108 4.0×	28 1.1×	23 1.9×	27	344
Jitendra Ganju	101 0.3×	23 0.1×	72 2.7×	33 1.3×	41 3.4×	30	347
Samuel W. Woolford	113 0.3×	193 1.1×	22 0.8×	14 0.6×	5 0.4×	15	437
Lan Huang	202 0.6×	32 0.2×	8 0.3×	17 0.7×	17 1.4×	22	346

Countries citing papers authored by Yunling Xu

Since Specialization

Citations

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

Fields of papers citing papers by Yunling Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunling Xu

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