Erxue Min

33 total papers · 1.1k total citations
12 papers, 598 citations indexed

About

Erxue Min is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Erxue Min has authored 12 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Erxue Min's work include Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). Erxue Min is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Recommender Systems and Techniques (3 papers) and Stochastic Gradient Optimization Techniques (3 papers). Erxue Min collaborates with scholars based in China, United Kingdom and United States. Erxue Min's co-authors include Jianjing Cui, Jun Long, Qiang Liu, Gen Zhang, Xifeng Guo, Wei Chen, Sophia Ananiadou, Peilin Zhao, Junzhou Huang and Tingyang Xu and has published in prestigious journals such as IEEE Access, IEEE Multimedia and Security and Communication Networks.

In The Last Decade

Erxue Min

12 papers receiving 570 citations

Hit Papers

A Survey of Clustering Wi... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Erxue Min 357 146 140 126 86 12 598
Rahul Kumar 358 1.0× 146 1.0× 135 1.0× 98 0.8× 113 1.3× 18 548
E. Koutsofios 210 0.6× 257 1.8× 158 1.1× 85 0.7× 240 2.8× 14 636
Wubai Zhou 341 1.0× 94 0.6× 157 1.1× 49 0.4× 226 2.6× 24 665
Haiping Zhou 223 0.6× 41 0.3× 301 2.1× 101 0.8× 128 1.5× 21 607
Simon Byers 228 0.6× 91 0.6× 117 0.8× 105 0.8× 88 1.0× 22 616
Yexi Jiang 263 0.7× 87 0.6× 249 1.8× 62 0.5× 306 3.6× 20 661
Štefan Dlugolinský 244 0.7× 73 0.5× 127 0.9× 62 0.5× 110 1.3× 25 646
Xuefeng Li 362 1.0× 192 1.3× 30 0.2× 114 0.9× 51 0.6× 17 669
LinChih-Jen 287 0.8× 191 1.3× 34 0.2× 60 0.5× 71 0.8× 10 518
George Almpanidis 266 0.7× 63 0.4× 49 0.3× 80 0.6× 135 1.6× 14 600

Countries citing papers authored by Erxue Min

Since Specialization
Citations

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

Fields of papers citing papers by Erxue Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erxue Min

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