Xin Xing

45 total papers · 568 total citations
21 papers, 318 citations indexed

About

Xin Xing is a scholar working on Molecular Biology, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xin Xing has authored 21 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Statistics and Probability and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xin Xing's work include Statistical Methods and Inference (5 papers), Gut microbiota and health (3 papers) and Statistical Methods and Bayesian Inference (3 papers). Xin Xing is often cited by papers focused on Statistical Methods and Inference (5 papers), Gut microbiota and health (3 papers) and Statistical Methods and Bayesian Inference (3 papers). Xin Xing collaborates with scholars based in United States, China and Singapore. Xin Xing's co-authors include Xiaojun Qi, Jun S. Liu, Yaning Yang, Chengjian Zheng, Bing Lin, Yiping Jiang, Luping Qin, Ting Han, Xiangxiang Zhao and Wenxuan Zhong and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Xin Xing

20 papers receiving 311 citations

Hit Papers

Differential roles of det... 2025 2026 2025 5 10 15

Author Peers

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

Author Last Decade Papers Cites
Xin Xing 99 74 43 29 26 21 318
Bowei Yan 150 1.5× 40 0.5× 13 0.3× 12 0.4× 20 321
Yuan Tian 129 1.3× 4 0.1× 76 1.8× 16 0.6× 4 0.2× 12 336
Shu‐Fen Huang 122 1.2× 35 0.5× 5 0.1× 15 0.5× 31 316
Wenlin Dai 38 0.4× 8 0.1× 120 2.8× 2 0.1× 12 0.5× 28 273
Carlos Tenreiro 59 0.6× 8 0.1× 143 3.3× 3 0.1× 29 1.1× 30 357
Dong Tong 126 1.3× 28 0.4× 5 0.1× 7 0.2× 1 0.0× 28 342
Wenjie You 86 0.9× 35 0.5× 17 0.4× 3 0.1× 19 0.7× 18 297
Yong Mao 156 1.6× 27 0.4× 6 0.1× 4 0.1× 11 302
Mark D. Reid 99 1.0× 22 0.3× 23 0.5× 3 0.1× 5 0.2× 29 317
Qicong Chen 109 1.1× 32 0.4× 2 0.0× 19 0.7× 31 366

Countries citing papers authored by Xin Xing

Since Specialization
Citations

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

Fields of papers citing papers by Xin Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Xing

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