Min Gao

372 total papers · 3.9k total citations
188 papers, 2.5k citations indexed

About

Min Gao is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Min Gao has authored 188 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Information Systems, 70 papers in Artificial Intelligence and 29 papers in Computer Networks and Communications. Recurrent topics in Min Gao's work include Recommender Systems and Techniques (69 papers), Advanced Graph Neural Networks (21 papers) and Spam and Phishing Detection (20 papers). Min Gao is often cited by papers focused on Recommender Systems and Techniques (69 papers), Advanced Graph Neural Networks (21 papers) and Spam and Phishing Detection (20 papers). Min Gao collaborates with scholars based in China, Australia and United States. Min Gao's co-authors include Qingyu Xiong, Junliang Yu, Junhao Wen, Hongzhi Yin, Zhongfu Wu, Jun Zeng, Jundong Li, Yang Yu, Wei Zhou and Hualing Yi and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Min Gao

165 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Min Gao 1.2k 1.1k 385 379 168 188 2.5k
Xiaohui Tao 547 0.5× 1.3k 1.2× 269 0.7× 237 0.6× 127 0.8× 203 2.7k
Rashedur M. Rahman 622 0.5× 731 0.7× 234 0.6× 582 1.5× 192 1.1× 191 2.2k
Jerry Gao 1.6k 1.3× 727 0.7× 485 1.3× 967 2.6× 232 1.4× 180 3.4k
Karl Andersson 975 0.8× 978 0.9× 361 0.9× 832 2.2× 152 0.9× 198 3.4k
Jia Zhang 1.5k 1.3× 817 0.7× 231 0.6× 1.2k 3.1× 121 0.7× 239 3.0k
Dunja Mladenić 892 0.8× 1.7k 1.5× 469 1.2× 224 0.6× 70 0.4× 171 2.9k
Ji Zhang 550 0.5× 1.0k 0.9× 480 1.2× 404 1.1× 137 0.8× 238 2.8k
Mingsheng Shang 1.5k 1.3× 1.6k 1.4× 990 2.6× 804 2.1× 90 0.5× 158 4.9k
Tanupriya Choudhury 569 0.5× 615 0.6× 294 0.8× 590 1.6× 83 0.5× 330 2.4k
Chuan Chen 935 0.8× 1.6k 1.5× 541 1.4× 464 1.2× 31 0.2× 169 3.2k

Countries citing papers authored by Min Gao

Since Specialization
Citations

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

Fields of papers citing papers by Min Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Gao

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