Ching‐Chun Shih

14 total papers · 461 total citations
9 papers, 288 citations indexed

About

Ching‐Chun Shih is a scholar working on General Agricultural and Biological Sciences, Education and Developmental and Educational Psychology. According to data from OpenAlex, Ching‐Chun Shih has authored 9 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Agricultural and Biological Sciences, 4 papers in Education and 3 papers in Developmental and Educational Psychology. Recurrent topics in Ching‐Chun Shih's work include Online and Blended Learning (4 papers), Diverse Educational Innovations Studies (4 papers) and Learning Styles and Cognitive Differences (3 papers). Ching‐Chun Shih is often cited by papers focused on Online and Blended Learning (4 papers), Diverse Educational Innovations Studies (4 papers) and Learning Styles and Cognitive Differences (3 papers). Ching‐Chun Shih collaborates with scholars based in United States and Taiwan. Ching‐Chun Shih's co-authors include Yu‐Hua Chen, Sherrie Wei, Greg Miller, John M. Pleasants, George Brown, Ann D. Thompson and Hui‐Shung Chang and has published in prestigious journals such as British Food Journal, Journal of Agricultural Education and Society for Information Technology & Teacher Education International Conference.

In The Last Decade

Ching‐Chun Shih

8 papers receiving 217 citations

Author Peers

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

Author						Papers	Cites
Ching‐Chun Shih	130	98	92	64	39	9	288
Savaş PAMUK	120 0.9×	24 0.2×	98 1.1×	2 0.0×	119 3.1×	12	320
Tri Lam	176 1.4×	27 0.3×	16 0.2×	3 0.0×	5 0.1×	13	290
Michael A. Clump	173 1.3×	50 0.5×	27 0.3×	2 0.0×	20 0.5×	11	271
Lynda H. Schneekloth	31 0.2×	25 0.3×	18 0.2×	11 0.2×	17 0.4×	13	299
Yimei Lin	163 1.3×	56 0.6×	12 0.1×	8 0.1×	2 0.1×	13	291
Coral Pepper	241 1.9×	36 0.4×	5 0.1×	3 0.0×	48 1.2×	21	312
Xiaowen Zhu	93 0.7×	9 0.1×	33 0.4×	3 0.0×	34 0.9×	14	298
Jonald Pimentel	61 0.5×	18 0.2×	9 0.1×	5 0.1×	4 0.1×	12	292
Xiangying Zhao	15 0.1×	12 0.1×	11 0.1×	9 0.1×	4 0.1×	16	218
Kenneth C. Bessant	139 1.1×	26 0.3×	5 0.1×	14 0.2×	6 0.2×	15	316

Countries citing papers authored by Ching‐Chun Shih

Since Specialization

Citations

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

Fields of papers citing papers by Ching‐Chun Shih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Chun Shih. 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 Ching‐Chun Shih. The network helps show where Ching‐Chun Shih may publish in the future.

Co-authorship network of co-authors of Ching‐Chun Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Chun Shih. A scholar is included among the top collaborators of Ching‐Chun Shih 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 Ching‐Chun Shih. Ching‐Chun Shih 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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