Yunliang Chen

89 total papers · 1.7k total citations
61 papers, 1.2k citations indexed

About

Yunliang Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Yunliang Chen has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Yunliang Chen's work include Human Mobility and Location-Based Analysis (7 papers), Complex Network Analysis Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Yunliang Chen is often cited by papers focused on Human Mobility and Location-Based Analysis (7 papers), Complex Network Analysis Techniques (5 papers) and Recommender Systems and Techniques (4 papers). Yunliang Chen collaborates with scholars based in China, Australia and United Kingdom. Yunliang Chen's co-authors include Jianxin Li, Xiangyu Song, Liankui Dai, Xiaodao Chen, Jungseock Joo, Lizhe Wang, Ajmal Mian, Qi Lei, Wei Zhao and Ze Deng and has published in prestigious journals such as Journal of Hepatology, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yunliang Chen

56 papers receiving 1.1k citations

Hit Papers

Bi-CLKT: Bi-Graph Contras... 2022 2026 2023 2024 2022 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Yunliang Chen 525 237 163 140 88 61 1.2k
Shuang Song 435 0.8× 112 0.5× 215 1.3× 114 0.8× 59 0.7× 49 1.2k
Raquel Martínez‐España 267 0.5× 122 0.5× 130 0.8× 95 0.7× 74 0.8× 80 925
Olatz Arbelaitz 635 1.2× 184 0.8× 188 1.2× 74 0.5× 44 0.5× 43 1.4k
Norwati Mustapha 594 1.1× 343 1.4× 298 1.8× 276 2.0× 41 0.5× 149 1.3k
Daniel Rodríguez 367 0.7× 653 2.8× 62 0.4× 190 1.4× 77 0.9× 81 1.2k
Vipin Kumar 528 1.0× 393 1.7× 165 1.0× 201 1.4× 60 0.7× 25 1.2k
Ladislav Hluchý 387 0.7× 271 1.1× 128 0.8× 292 2.1× 87 1.0× 163 1.2k
Mayank Agarwal 317 0.6× 122 0.5× 153 0.9× 269 1.9× 33 0.4× 118 1.2k
Osvaldo Gervasi 171 0.3× 141 0.6× 125 0.8× 185 1.3× 122 1.4× 126 1.4k
Michael G. Madden 608 1.2× 98 0.4× 207 1.3× 109 0.8× 23 0.3× 65 1.3k

Countries citing papers authored by Yunliang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yunliang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunliang Chen

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