Ding‐Hau Huang

41 total papers · 410 total citations
19 papers, 262 citations indexed

About

Ding‐Hau Huang is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and General Health Professions. According to data from OpenAlex, Ding‐Hau Huang has authored 19 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Experimental and Cognitive Psychology, 5 papers in Clinical Psychology and 4 papers in General Health Professions. Recurrent topics in Ding‐Hau Huang's work include Creativity in Education and Neuroscience (5 papers), Mindfulness and Compassion Interventions (5 papers) and Interprofessional Education and Collaboration (2 papers). Ding‐Hau Huang is often cited by papers focused on Creativity in Education and Neuroscience (5 papers), Mindfulness and Compassion Interventions (5 papers) and Interprofessional Education and Collaboration (2 papers). Ding‐Hau Huang collaborates with scholars based in Taiwan, China and United States. Ding‐Hau Huang's co-authors include Wen‐Ko Chiou, Chao Liu, Hao Chen, Yi‐Lang Chen, Hsing‐Yuan Liu, Chia-Yi Liu, Xinyi Cao, Kan Wu, Chia-Yih Liu and Shih‐Wei Chou and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and Human Factors The Journal of the Human Factors and Ergonomics Society.

In The Last Decade

Ding‐Hau Huang

17 papers receiving 256 citations

Author Peers

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

Author Last Decade Papers Cites
Ding‐Hau Huang 97 71 60 45 37 19 262
Ma Dolores Vara 144 1.5× 64 0.9× 64 1.1× 42 0.9× 35 0.9× 25 296
Eva Langvik 98 1.0× 55 0.8× 73 1.2× 56 1.2× 25 0.7× 33 318
Haley E. Yaremych 67 0.7× 71 1.0× 43 0.7× 28 0.6× 62 1.7× 15 278
Joseph A. Doster 111 1.1× 125 1.8× 44 0.7× 32 0.7× 59 1.6× 24 316
Katherine R. Thorson 63 0.6× 118 1.7× 64 1.1× 51 1.1× 37 1.0× 22 296
Jerome H. Resnick 108 1.1× 75 1.1× 23 0.4× 37 0.8× 60 1.6× 15 280
Kaylee Litson 86 0.9× 61 0.9× 54 0.9× 53 1.2× 15 0.4× 21 239
Kaylin Ratner 78 0.8× 106 1.5× 72 1.2× 17 0.4× 40 1.1× 30 236
Cheryl L. Kondrak 108 1.1× 112 1.6× 58 1.0× 30 0.7× 64 1.7× 15 314
Helen Pote 215 2.2× 104 1.5× 49 0.8× 36 0.8× 41 1.1× 26 324

Countries citing papers authored by Ding‐Hau Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ding‐Hau Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding‐Hau Huang. 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 Ding‐Hau Huang. The network helps show where Ding‐Hau Huang may publish in the future.

Co-authorship network of co-authors of Ding‐Hau Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ding‐Hau Huang. A scholar is included among the top collaborators of Ding‐Hau Huang 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 Ding‐Hau Huang. Ding‐Hau Huang 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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