Peifeng Yin

43 total papers · 2.4k total citations
27 papers, 1.7k citations indexed

About

Peifeng Yin is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Peifeng Yin has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 10 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in Peifeng Yin's work include Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (6 papers) and Human Mobility and Location-Based Analysis (4 papers). Peifeng Yin is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Recommender Systems and Techniques (6 papers) and Human Mobility and Location-Based Analysis (4 papers). Peifeng Yin collaborates with scholars based in United States, China and South Korea. Peifeng Yin's co-authors include Wang-Chien Lee, Mao Ye, Dik Lun Lee, Mao Ye, Ping Luo, Krzysztof Janowicz, Mao Ye, Min Wang, Erika Lunkenheimer and Nilàm Ram and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Transactions on Cybernetics.

In The Last Decade

Peifeng Yin

27 papers receiving 1.6k citations

Hit Papers

Exploiting geographical i... 2010 2026 2015 2020 2011 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Peifeng Yin 1.0k 985 390 293 290 27 1.7k
Eunjoon Cho 527 0.5× 1.5k 1.5× 408 1.0× 570 1.9× 455 1.6× 14 2.2k
Zongyang Ma 699 0.7× 543 0.6× 244 0.6× 605 2.1× 153 0.5× 21 1.5k
Anastasios Noulas 316 0.3× 1.3k 1.3× 239 0.6× 257 0.9× 262 0.9× 36 1.9k
Justin Cranshaw 372 0.4× 635 0.6× 189 0.5× 346 1.2× 133 0.5× 31 1.7k
Vincent S. Tseng 515 0.5× 459 0.5× 581 1.5× 368 1.3× 242 0.8× 41 1.5k
Fabio Pinelli 301 0.3× 1.2k 1.2× 955 2.4× 227 0.8× 244 0.8× 40 1.8k
Dan Frankowski 543 0.5× 260 0.3× 145 0.4× 350 1.2× 144 0.5× 20 1.8k
Chiara Renso 281 0.3× 974 1.0× 948 2.4× 447 1.5× 272 0.9× 106 1.9k
Zhixu Li 801 0.8× 385 0.4× 263 0.7× 1.1k 3.8× 273 0.9× 132 1.9k
Justin J. Levandoski 828 0.8× 295 0.3× 473 1.2× 270 0.9× 1.2k 4.2× 49 1.8k

Countries citing papers authored by Peifeng Yin

Since Specialization
Citations

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

Fields of papers citing papers by Peifeng Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peifeng Yin

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