Yun Wen

88 total papers · 886 total citations
47 papers, 508 citations indexed

About

Yun Wen is a scholar working on Developmental and Educational Psychology, Education and Information Systems. According to data from OpenAlex, Yun Wen has authored 47 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Developmental and Educational Psychology, 21 papers in Education and 12 papers in Information Systems. Recurrent topics in Yun Wen's work include Innovative Teaching and Learning Methods (20 papers), Mobile Learning in Education (10 papers) and EFL/ESL Teaching and Learning (9 papers). Yun Wen is often cited by papers focused on Innovative Teaching and Learning Methods (20 papers), Mobile Learning in Education (10 papers) and EFL/ESL Teaching and Learning (9 papers). Yun Wen collaborates with scholars based in Singapore, China and Hong Kong. Yun Wen's co-authors include Yanjie Song, Chee‐Kit Looi, Si Zhang, Wenli Chen, Luis P. Prieto, Pierre Dillenbourg, Daniela Caballero, Qianqian Gao, Hongxian Chen and Qiyun Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

Yun Wen

41 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Yun Wen	239	239	137	106	105	47	508
Carolina Islas Sedano	108 0.5×	244 1.0×	118 0.9×	69 0.7×	79 0.8×	27	521
Cathy Weng	180 0.8×	114 0.5×	208 1.5×	64 0.6×	120 1.1×	45	558
Ahmed Kharrufa	181 0.8×	169 0.7×	173 1.3×	152 1.4×	47 0.4×	54	608
Nicoletta Di Blas	133 0.6×	113 0.5×	108 0.8×	91 0.9×	84 0.8×	80	554
Teemu Leinonen	230 1.0×	141 0.6×	133 1.0×	126 1.2×	48 0.5×	52	566
Yi-Chun Lin	223 0.9×	213 0.9×	193 1.4×	89 0.8×	41 0.4×	50	604
Stamatina Anastopoulou	186 0.8×	168 0.7×	159 1.2×	132 1.2×	59 0.6×	24	513
Clark N. Quinn	193 0.8×	217 0.9×	140 1.0×	98 0.9×	24 0.2×	24	551
Antigoni Parmaxi	135 0.6×	121 0.5×	161 1.2×	40 0.4×	139 1.3×	39	533
Jennifer S. Thom	145 0.6×	226 0.9×	44 0.3×	71 0.7×	43 0.4×	41	534

Countries citing papers authored by Yun Wen

Since Specialization

Citations

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

Fields of papers citing papers by Yun Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yun Wen

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