Chih‐Hao Ku

806 total citations
19 papers, 584 citations indexed

About

Chih‐Hao Ku is a scholar working on Artificial Intelligence, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Chih‐Hao Ku has authored 19 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Sociology and Political Science and 4 papers in Molecular Biology. Recurrent topics in Chih‐Hao Ku's work include Sentiment Analysis and Opinion Mining (6 papers), Digital Marketing and Social Media (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Chih‐Hao Ku is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Digital Marketing and Social Media (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Chih‐Hao Ku collaborates with scholars based in United States, Taiwan and Canada. Chih‐Hao Ku's co-authors include Yung‐Chun Chang, Gondy Leroy, Chien‐Hung Chen, Alicia Iriberri, Chi‐Jen Chen, Jianjun Zhu, Stella Yiyan Li, Hung‐Chung Su, Yichuan Wang and Ta‐Wei Kao and has published in prestigious journals such as Physical Review B, Journal of Business Research and Tourism Management.

In The Last Decade

Chih‐Hao Ku

18 papers receiving 554 citations

Peers

Chih‐Hao Ku
Comparison fields: 5 of 78
  • Sociology and Political Science 297
  • Artificial Intelligence 211
  • Information Systems 113
  • Organizational Behavior and Human Resource Management 94
  • Marketing 92
Replace Rohit Valecha with:
Rohit Valecha United States
Jinghua Huang China
Amit Kushwaha India
Amit Datta United States
Hani Safadi United States
David Bodoff Israel
Reema Aswani India
Alan Gilchrist United Kingdom
Christina Schamp Germany
Young Ae Kim South Korea
Rohit Valecha United States View profile →
Citations per field, relative to Chih‐Hao Ku
Chih‐Hao Ku · 1×
Citations per year, relative to Chih‐Hao Ku
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Countries citing papers authored by Chih‐Hao Ku

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Hao Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Hao Ku. 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 Chih‐Hao Ku. The network helps show where Chih‐Hao Ku may publish in the future.

Co-authorship network of co-authors of Chih‐Hao Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Hao Ku. A scholar is included among the top collaborators of Chih‐Hao Ku 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 Chih‐Hao Ku. Chih‐Hao Ku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 4
3 15
4 9
5 65
6 73
7 44
8 13
9 4
10 178
11
A Study of the Influence of Gaming Behavior on Academic Performance of IT College Students
5
12 67
13 0
14 23
15 6
16 8
17 27
18 2
19 39

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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2026