I‐Han Hsiao

116 total papers · 1.3k total citations
65 papers, 674 citations indexed

About

I‐Han Hsiao is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, I‐Han Hsiao has authored 65 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Science Applications, 29 papers in Developmental and Educational Psychology and 20 papers in Artificial Intelligence. Recurrent topics in I‐Han Hsiao's work include Online Learning and Analytics (35 papers), Innovative Teaching and Learning Methods (24 papers) and Teaching and Learning Programming (19 papers). I‐Han Hsiao is often cited by papers focused on Online Learning and Analytics (35 papers), Innovative Teaching and Learning Methods (24 papers) and Teaching and Learning Programming (19 papers). I‐Han Hsiao collaborates with scholars based in United States, Taiwan and Ireland. I‐Han Hsiao's co-authors include Peter Brusilovsky, Sergey Sosnovsky, Alan F. Smeaton, Birgitta König‐Ries, Yiling Lin, Tiffany Barnes, Kristy Elizabeth Boyer, Nguyen-Thinh Le, Piyush Arora and Luca Mazzola and has published in prestigious journals such as Computers in Human Behavior, Journal of the Association for Information Systems and Teachers College Record The Voice of Scholarship in Education.

In The Last Decade

I‐Han Hsiao

57 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
I‐Han Hsiao	438	232	225	182	110	65	674
Maya Satratzemi	449 1.0×	316 1.4×	151 0.7×	207 1.1×	83 0.8×	72	725
José Paulo Leal	447 1.0×	185 0.8×	217 1.0×	240 1.3×	74 0.7×	66	760
Marco Temperini	412 0.9×	194 0.8×	249 1.1×	245 1.3×	172 1.6×	77	716
Andri Ioannidou	446 1.0×	321 1.4×	144 0.6×	140 0.8×	92 0.8×	29	700
Fumiya Okubo	363 0.8×	160 0.7×	200 0.9×	139 0.8×	200 1.8×	58	672
Crescencio Bravo	229 0.5×	205 0.9×	122 0.5×	198 1.1×	85 0.8×	55	624
Konstantina Chrysafiadi	385 0.9×	213 0.9×	459 2.0×	208 1.1×	87 0.8×	46	756
Gilbert Paquette	304 0.7×	161 0.7×	216 1.0×	181 1.0×	145 1.3×	82	616
Felix Mödritscher	216 0.5×	184 0.8×	151 0.7×	191 1.0×	159 1.4×	48	560
Vive Kumar	266 0.6×	183 0.8×	212 0.9×	154 0.8×	168 1.5×	80	709

Countries citing papers authored by I‐Han Hsiao

Since Specialization

Citations

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

Fields of papers citing papers by I‐Han Hsiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Han Hsiao. 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 I‐Han Hsiao. The network helps show where I‐Han Hsiao may publish in the future.

Co-authorship network of co-authors of I‐Han Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Han Hsiao. A scholar is included among the top collaborators of I‐Han Hsiao 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 I‐Han Hsiao. I‐Han Hsiao 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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