Tao “Eric” Hu

28 papers receiving 481 citations

Peers

Tao “Eric” Hu
Comparison fields: 5 of 38
  • Information Systems and Management 98
  • Marketing 23
  • Sociology and Political Science 97
  • Organizational Behavior and Human Resource Management 16
  • Information Systems 32
Replace Javier Rodríguez Pinto with:
Javier Rodríguez Pinto Spain
Aykut Hamit Turan Türkiye
Izzal Asnira Zolkepli Malaysia
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Blanca López‐Catalán Spain
Zheshi Bao China
Jung‐Jung Chang Taiwan
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Citations per year

Countries citing papers authored by Tao “Eric” Hu

Since Specialization
Citations

This map shows the geographic impact of Tao “Eric” Hu'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 Tao “Eric” Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao “Eric” Hu more than expected).

Fields of papers citing papers by Tao “Eric” Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tao “Eric” Hu. 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 Tao “Eric” Hu. The network helps show where Tao “Eric” Hu may publish in the future.

Co-authors

The 25 scholars most cited alongside Tao “Eric” Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tao “Eric” Hu Line = papers co-authored together Tao “Eric” Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201497
2 201186
3
Why People Continue to Use Social Networking Services: Developing a Comprehensive Model
200862
4 201860
5 201744
6 201917
7 202117
8 201416
9 201014
10 201114
11 202414
12 201910
13
Gender Differences in Internet Use: A Logistic Regression Analysis
20098
14 20237
15 20236
16
Radio Frequency Identification: The Initiator of a Domino Effect
20065
17 20115
18
Software Development Methodologies, Trends, and Implications
20104
19 20114
20 20164

About Tao “Eric” Hu

Tao “Eric” Hu is a scholar working on Information Systems and Management, Management Information Systems, Media Technology, Marketing and Gender Studies, having authored 33 papers that have together received 514 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (2 papers), Gender and Technology in Education (2 papers), Service and Product Innovation (2 papers), Software Engineering Techniques and Practices (2 papers), RFID technology advancements (2 papers), Information Technology Governance and Strategy (1 paper) and Environmental Education and Sustainability (1 paper). The work is most often cited by research in Information Systems and Management (98 citations), Marketing (23 citations), Sociology and Political Science (97 citations), Organizational Behavior and Human Resource Management (16 citations) and Information Systems (32 citations). Tao “Eric” Hu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include William J. Kettinger, Robin S. Poston, Hua Dai, Xihui “Paul” Zhang, A. F. Salam, Tom Stafford, Merrill E. Warkentin, Zhenya Robin Tang, Rob J.M. van Tulder and Ping Zhang. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, Sustainability, European Journal of Information Systems and ACM Transactions on Software Engineering and Methodology.

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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