Min Lun Wu

48 total papers · 464 total citations
27 papers, 260 citations indexed

About

Min Lun Wu is a scholar working on Education, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Min Lun Wu has authored 27 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Education, 11 papers in Developmental and Educational Psychology and 5 papers in Information Systems. Recurrent topics in Min Lun Wu's work include Educational Games and Gamification (7 papers), Online and Blended Learning (5 papers) and Innovative Teaching and Learning Methods (5 papers). Min Lun Wu is often cited by papers focused on Educational Games and Gamification (7 papers), Online and Blended Learning (5 papers) and Innovative Teaching and Learning Methods (5 papers). Min Lun Wu collaborates with scholars based in United States, China and Taiwan. Min Lun Wu's co-authors include Jung-Chuan Yen, Yuchun Zhou, Guan Saw, W. Patrick Dickson, Danah Henriksen, Lan Li, Yuanshui Zheng, Etta D. Pisano, Elodia B. Cole and Junfeng Xia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Microbiological Methods and Education and Information Technologies.

In The Last Decade

Min Lun Wu

21 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
Min Lun Wu	82	79	76	75	51	27	260
Ruzinoor Che Mat	68 0.8×	57 0.7×	102 1.3×	39 0.5×	31 0.6×	34	301
Virginia L. Byrne	45 0.5×	37 0.5×	99 1.3×	59 0.8×	45 0.9×	28	242
Tien‐Yu Hsu	104 1.3×	74 0.9×	59 0.8×	71 0.9×	42 0.8×	24	307
Ben Rydal Shapiro	44 0.5×	43 0.5×	86 1.1×	48 0.6×	45 0.9×	31	322
Pascual D. Diago	44 0.5×	42 0.5×	37 0.5×	55 0.7×	28 0.5×	29	206
Holger Weitzel	75 0.9×	51 0.6×	122 1.6×	65 0.9×	33 0.6×	29	242
Fatma Burcu Topu	87 1.1×	64 0.8×	115 1.5×	103 1.4×	102 2.0×	23	329
Hui-Chun Hung	109 1.3×	24 0.3×	100 1.3×	127 1.7×	22 0.4×	27	317
Fatih Saltan	110 1.3×	88 1.1×	168 2.2×	40 0.5×	47 0.9×	27	319
Kan Kan Chan	123 1.5×	78 1.0×	136 1.8×	86 1.1×	36 0.7×	19	307

Countries citing papers authored by Min Lun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Min Lun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Lun Wu

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