Baiyun Chen

46 total papers · 1.7k total citations
30 papers, 997 citations indexed

About

Baiyun Chen is a scholar working on Education, Developmental and Educational Psychology and Media Technology. According to data from OpenAlex, Baiyun Chen has authored 30 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Education, 11 papers in Developmental and Educational Psychology and 7 papers in Media Technology. Recurrent topics in Baiyun Chen's work include Online and Blended Learning (9 papers), Innovative Teaching and Learning Methods (8 papers) and Experimental Learning in Engineering (7 papers). Baiyun Chen is often cited by papers focused on Online and Blended Learning (9 papers), Innovative Teaching and Learning Methods (8 papers) and Experimental Learning in Engineering (7 papers). Baiyun Chen collaborates with scholars based in United States, China and Türkiye. Baiyun Chen's co-authors include Thomas A. Bryer, Justin Marcus, Aimee deNoyelles, Jin Mao, Juhong Liu, Janet Mannheimer Zydney, Ronald F. DeMara, Richard Hartshorne, Soheil Salehi and Stephen A. Sivo and has published in prestigious journals such as Computers in Human Behavior, Frontiers in Genetics and Annals of Human Genetics.

In The Last Decade

Baiyun Chen

28 papers receiving 877 citations

Hit Papers

Investigating instruction... 2012 2026 2016 2021 2012 2023 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Baiyun Chen 450 325 231 208 152 30 997
Simon Cross 499 1.1× 285 0.9× 264 1.1× 284 1.4× 165 1.1× 33 1.0k
Gabriela Grosseck 485 1.1× 365 1.1× 316 1.4× 234 1.1× 139 0.9× 55 1.1k
Monica Bulger 570 1.3× 362 1.1× 233 1.0× 128 0.6× 161 1.1× 30 1.1k
Bryan Alexander 455 1.0× 311 1.0× 436 1.9× 232 1.1× 190 1.3× 26 1.1k
Jason MacLeod 545 1.2× 172 0.5× 245 1.1× 106 0.5× 84 0.6× 42 839
Jennifer L. Dyck 380 0.8× 188 0.6× 107 0.5× 129 0.6× 151 1.0× 19 795
Thomas Hillman 411 0.9× 307 0.9× 262 1.1× 153 0.7× 108 0.7× 35 1.1k
Antoine van den Beemt 664 1.5× 167 0.5× 231 1.0× 213 1.0× 246 1.6× 36 1.2k
Hüseyin Bicen 617 1.4× 318 1.0× 460 2.0× 205 1.0× 297 2.0× 62 1.2k
M’hammed Abdous 482 1.1× 119 0.4× 225 1.0× 193 0.9× 126 0.8× 28 898

Countries citing papers authored by Baiyun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Baiyun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baiyun Chen

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