Xiaotong Wu

75 total papers · 911 total citations
54 papers, 570 citations indexed

About

Xiaotong Wu is a scholar working on Artificial Intelligence, Paleontology and Computer Networks and Communications. According to data from OpenAlex, Xiaotong Wu has authored 54 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Paleontology and 11 papers in Computer Networks and Communications. Recurrent topics in Xiaotong Wu's work include Archaeology and ancient environmental studies (16 papers), Privacy-Preserving Technologies in Data (15 papers) and Pacific and Southeast Asian Studies (10 papers). Xiaotong Wu is often cited by papers focused on Archaeology and ancient environmental studies (16 papers), Privacy-Preserving Technologies in Data (15 papers) and Pacific and Southeast Asian Studies (10 papers). Xiaotong Wu collaborates with scholars based in China, Australia and United Kingdom. Xiaotong Wu's co-authors include Xiaolong Xu, Wanchun Dou, Maqbool Khan, Lianyong Qi, Qiang Ni, Xuyun Zhang, Chunhua Hu, Yuan Yuan, Muhammad Bilal and Genlin Ji and has published in prestigious journals such as Scientific Reports, IEEE Journal on Selected Areas in Communications and Information Sciences.

In The Last Decade

Xiaotong Wu

48 papers receiving 546 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaotong Wu 139 120 107 78 69 54 570
Randy Smith 116 0.8× 75 0.6× 287 2.7× 23 0.3× 15 0.2× 60 631
Giovanni Delnevo 113 0.8× 74 0.6× 48 0.4× 15 0.2× 4 0.1× 63 645
Mark Blackburn 115 0.8× 65 0.5× 149 1.4× 154 2.0× 12 0.2× 82 663
Haidar Harmanani 65 0.5× 112 0.9× 58 0.5× 103 1.3× 4 0.1× 54 617
Paul Stephenson 28 0.2× 36 0.3× 37 0.3× 126 1.6× 5 0.1× 67 576
Maurizio Talamo 89 0.6× 213 1.8× 123 1.1× 79 1.0× 75 573
M. Popa 67 0.5× 128 1.1× 98 0.9× 22 0.3× 2 0.0× 94 542
Yadong Zhou 141 1.0× 141 1.2× 121 1.1× 6 0.1× 13 0.2× 83 578
Kian Lam Tan 57 0.4× 154 1.3× 118 1.1× 16 0.2× 45 676
Otthein Herzog 165 1.2× 89 0.7× 98 0.9× 120 1.5× 111 666

Countries citing papers authored by Xiaotong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotong Wu. A scholar is included among the top collaborators of Xiaotong Wu 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 Xiaotong Wu. Xiaotong Wu 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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2026