Xianglu Xiao

18 total papers · 1.1k total citations
7 papers, 475 citations indexed

About

Xianglu Xiao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xianglu Xiao has authored 7 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Xianglu Xiao's work include Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers) and Machine Learning in Healthcare (2 papers). Xianglu Xiao is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Machine Learning in Materials Science (3 papers) and Machine Learning in Healthcare (2 papers). Xianglu Xiao collaborates with scholars based in China, United Kingdom and Norway. Xianglu Xiao's co-authors include Zhangming Niu, Evandro Fei Fang, Yinghui Jiang, Guang Yang, Li Lao, Shaoping Hu, Yuan Gao, Hui Ye, Wade Menpes-Smith and Minhao Wang and has published in prestigious journals such as Bioinformatics, IEEE Access and Briefings in Bioinformatics.

In The Last Decade

Xianglu Xiao

6 papers receiving 454 citations

Hit Papers

Weakly Supervised Deep Le... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Xianglu Xiao 258 242 125 88 78 7 475
Yiming Zhou 100 0.4× 141 0.6× 103 0.8× 48 0.5× 27 0.3× 5 461
Sheng Zhang 69 0.3× 310 1.3× 149 1.2× 44 0.5× 142 1.8× 3 497
Xiaoyan Li 219 0.8× 85 0.4× 103 0.8× 23 0.3× 65 0.8× 8 458
Ladislav Rampášek 50 0.2× 70 0.3× 255 2.0× 152 1.7× 18 0.2× 7 527
Joseph Luttrell 152 0.6× 212 0.9× 153 1.2× 133 1.5× 3 0.0× 17 514
Jing Li 237 0.9× 148 0.6× 38 0.3× 8 0.1× 64 0.8× 6 471
Shengyu Liu 26 0.1× 216 0.9× 226 1.8× 117 1.3× 16 0.2× 20 456
Mohammad Hossein Zangooei 44 0.2× 163 0.7× 66 0.5× 27 0.3× 7 0.1× 12 410
Mert Yüksekgönül 119 0.5× 243 1.0× 46 0.4× 5 0.1× 134 1.7× 6 435
Ch. Madhu Babu 24 0.1× 53 0.2× 191 1.5× 218 2.5× 22 0.3× 15 429

Countries citing papers authored by Xianglu Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Xianglu Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianglu Xiao

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