Xin Lin

232 total papers · 2.2k total citations
130 papers, 1.4k citations indexed

About

Xin Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Xin Lin has authored 130 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 18 papers in Computational Theory and Mathematics. Recurrent topics in Xin Lin's work include Metaheuristic Optimization Algorithms Research (23 papers), Topic Modeling (18 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Xin Lin is often cited by papers focused on Metaheuristic Optimization Algorithms Research (23 papers), Topic Modeling (18 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Xin Lin collaborates with scholars based in China, Hong Kong and United States. Xin Lin's co-authors include Wenjian Luo, Peilan Xu, Dacheng Tao, Changxing Ding, Jinquan Zeng, Jianliang Xu, Haibo Hu, Liang He, Tao Zhu and Jingyuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Journal of Alloys and Compounds.

In The Last Decade

Xin Lin

111 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Xin Lin 691 374 204 171 104 130 1.4k
Yun Li 652 0.9× 320 0.9× 68 0.3× 165 1.0× 177 1.7× 105 1.4k
Anca Ralescu 718 1.0× 382 1.0× 129 0.6× 236 1.4× 198 1.9× 155 1.7k
Md. Saiful Islam 505 0.7× 164 0.4× 141 0.7× 259 1.5× 281 2.7× 110 1.8k
Jiejun Xu 757 1.1× 424 1.1× 129 0.6× 84 0.5× 126 1.2× 48 1.6k
Michael E. Houle 870 1.3× 376 1.0× 97 0.5× 314 1.8× 252 2.4× 72 1.5k
Xin Wang 763 1.1× 521 1.4× 84 0.4× 333 1.9× 297 2.9× 134 1.5k
Mauro Vallati 941 1.4× 297 0.8× 74 0.4× 102 0.6× 205 2.0× 132 1.7k
Ying Zhao 334 0.5× 628 1.7× 46 0.2× 178 1.0× 88 0.8× 85 1.2k
Floriana Esposito 1.0k 1.5× 302 0.8× 252 1.2× 220 1.3× 170 1.6× 178 1.7k
Alberto Bugarín 779 1.1× 170 0.5× 239 1.2× 114 0.7× 108 1.0× 103 1.3k

Countries citing papers authored by Xin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lin

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