Cheng-Chih Wu

71 total papers · 590 total citations
45 papers, 433 citations indexed

About

Cheng-Chih Wu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Cheng-Chih Wu has authored 45 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Science Applications, 13 papers in Developmental and Educational Psychology and 9 papers in Education. Recurrent topics in Cheng-Chih Wu's work include Teaching and Learning Programming (14 papers), Online Learning and Analytics (9 papers) and Innovative Teaching and Learning Methods (8 papers). Cheng-Chih Wu is often cited by papers focused on Teaching and Learning Programming (14 papers), Online Learning and Analytics (9 papers) and Innovative Teaching and Learning Methods (8 papers). Cheng-Chih Wu collaborates with scholars based in Taiwan, United States and Hong Kong. Cheng-Chih Wu's co-authors include Nell Dale, Greg C. Lee, Jing Lin, Yu‐Chih Lin, Fang‐Ying Yang, Yiting Liao, She-I Chang, I‐Cheng Chang, Chien‐Ning Hsu and Yaw‐Bin Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers & Education.

In The Last Decade

Cheng-Chih Wu

44 papers receiving 398 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng-Chih Wu 195 122 84 68 62 45 433
Jun‐Ming Su 168 0.9× 74 0.6× 196 2.3× 44 0.6× 110 1.8× 49 395
Alexander O’Connor 123 0.6× 58 0.5× 162 1.9× 50 0.7× 94 1.5× 34 412
Eloy D. Villasclaras-Fernández 217 1.1× 225 1.8× 99 1.2× 108 1.6× 39 0.6× 20 397
Maíra Marques Samary 168 0.9× 54 0.4× 263 3.1× 63 0.9× 64 1.0× 31 447
Jordi Conesa 167 0.9× 98 0.8× 90 1.1× 88 1.3× 133 2.1× 71 404
Chris DiGiano 132 0.7× 157 1.3× 134 1.6× 105 1.5× 61 1.0× 21 374
Shahida Sulaiman 126 0.6× 36 0.3× 161 1.9× 31 0.5× 63 1.0× 72 390
Iván Ruiz‐Rube 149 0.8× 90 0.7× 159 1.9× 58 0.9× 80 1.3× 41 416
Tihomir Orehovački 110 0.6× 56 0.5× 124 1.5× 44 0.6× 75 1.2× 74 414
Jiahui Du 126 0.6× 90 0.7× 50 0.6× 127 1.9× 124 2.0× 34 474

Countries citing papers authored by Cheng-Chih Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Chih Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Chih 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 Cheng-Chih Wu. The network helps show where Cheng-Chih Wu may publish in the future.

Co-authorship network of co-authors of Cheng-Chih Wu

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