Meng‐Chuan Tsai

22 total papers · 469 total citations
18 papers, 339 citations indexed

About

Meng‐Chuan Tsai is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Management Science and Operations Research. According to data from OpenAlex, Meng‐Chuan Tsai has authored 18 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Science Applications, 4 papers in Developmental and Educational Psychology and 3 papers in Management Science and Operations Research. Recurrent topics in Meng‐Chuan Tsai's work include Innovative Teaching and Learning Methods (4 papers), Online Learning and Analytics (4 papers) and Teaching and Learning Programming (3 papers). Meng‐Chuan Tsai is often cited by papers focused on Innovative Teaching and Learning Methods (4 papers), Online Learning and Analytics (4 papers) and Teaching and Learning Programming (3 papers). Meng‐Chuan Tsai collaborates with scholars based in Taiwan, Russia and Canada. Meng‐Chuan Tsai's co-authors include Chin‐Tsai Lin, Chia‐Wen Tsai, Pei‐Di Shen, Chung‐Yen Lu, Chih‐Hsin Muo, Fung‐Chang Sung, Chin-Ching Wu, Wenyu Chen, Shiow‐Luan Tsay and Li‐Yun Tsai and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and International Journal of Environmental Research and Public Health.

In The Last Decade

Meng‐Chuan Tsai

18 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
Meng‐Chuan Tsai	77	69	61	59	44	18	339
Gwo-Jen Hwang	98 1.3×	64 0.9×	34 0.6×	97 1.6×	4 0.1×	10	362
Angel Jannasch‐Pennell	81 1.1×	56 0.8×	14 0.2×	45 0.8×	4 0.1×	23	371
Lorella Cannavacciuolo	34 0.4×	52 0.8×	37 0.6×	26 0.4×	2 0.0×	30	376
Dan Kaczynski	182 2.4×	20 0.3×	15 0.2×	25 0.4×	4 0.1×	15	348
Nittaya Campbell	88 1.1×	15 0.2×	12 0.2×	12 0.2×	6 0.1×	13	387
Hamid Mohammadi	132 1.7×	31 0.4×	9 0.1×	11 0.2×	6 0.1×	26	337
Briony J. Oates	41 0.5×	48 0.7×	23 0.4×	18 0.3×	2 0.0×	28	337
Alan Olinsky	39 0.5×	14 0.2×	37 0.6×	7 0.1×	4 0.1×	19	336
Fiona Henderson	149 1.9×	62 0.9×	7 0.1×	50 0.8×	2 0.0×	19	340
Karol I. Pelc	134 1.7×	47 0.7×	28 0.5×	84 1.4×		17	368

Countries citing papers authored by Meng‐Chuan Tsai

Since Specialization

Citations

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

Fields of papers citing papers by Meng‐Chuan Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Chuan Tsai. 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 Meng‐Chuan Tsai. The network helps show where Meng‐Chuan Tsai may publish in the future.

Co-authorship network of co-authors of Meng‐Chuan Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Meng‐Chuan Tsai. A scholar is included among the top collaborators of Meng‐Chuan Tsai 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 Meng‐Chuan Tsai. Meng‐Chuan Tsai 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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