Xutao Wang

32 total papers · 435 total citations
17 papers, 255 citations indexed

About

Xutao Wang is a scholar working on Infectious Diseases, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Xutao Wang has authored 17 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 5 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Xutao Wang's work include Topic Modeling (5 papers), Tuberculosis Research and Epidemiology (4 papers) and COVID-19 Clinical Research Studies (3 papers). Xutao Wang is often cited by papers focused on Topic Modeling (5 papers), Tuberculosis Research and Epidemiology (4 papers) and COVID-19 Clinical Research Studies (3 papers). Xutao Wang collaborates with scholars based in China, United States and South Africa. Xutao Wang's co-authors include Gangmin Li, Yuming Li, Pin Ni, Xuming Bai, Yue Li, Jun Zou, Yanfei Chen, Shuwei Chen, Bin Wang and W. Evan Johnson and has published in prestigious journals such as Clinical Infectious Diseases, Breast Cancer Research and Treatment and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Xutao Wang

14 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Xutao Wang 142 67 25 25 16 17 255
Robert Reihs 64 0.5× 94 1.4× 19 0.8× 8 0.3× 24 1.5× 21 242
Rui Duan 74 0.5× 88 1.3× 15 0.6× 15 0.6× 16 1.0× 21 221
Olufemi Aromolaran 65 0.5× 168 2.5× 23 0.9× 12 0.5× 6 0.4× 14 324
Michał Dramiński 49 0.3× 173 2.6× 12 0.5× 22 0.9× 13 0.8× 14 286
Michaela Th. Mayrhofer 83 0.6× 31 0.5× 15 0.6× 8 0.3× 7 0.4× 28 315
José Pereira 137 1.0× 51 0.8× 15 0.6× 29 1.2× 27 1.7× 21 270
Chuyuan Wang 50 0.4× 70 1.0× 45 1.8× 11 0.4× 8 0.5× 14 252
Ruoxuan Xiong 74 0.5× 26 0.4× 8 0.3× 52 2.1× 9 0.6× 24 287
Nelia Lasierra 91 0.6× 54 0.8× 49 2.0× 6 0.2× 34 2.1× 20 241
Dennis Hendriksen 32 0.2× 112 1.7× 15 0.6× 10 0.4× 8 0.5× 15 328

Countries citing papers authored by Xutao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xutao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xutao Wang

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