Jung‐Jung Chang

819 citations
8 papers · 602 indexed · 1 hit paper · h-index 6
Topics
Technology Adoption and User Behaviour (3 papers)Customer Service Quality and Loyalty (3 papers)Digital Marketing and Social Media (3 papers)
Partner nations
Taiwan

In The Last Decade

Jung‐Jung Chang

8 papers receiving 580 citations

Hit Papers

Exploring the influential factors in continuance usage of...20152026201820222015100200300400500

Peers

Jung‐Jung Chang
Comparison fields: 5 of 66
  • Information Systems and Management 396
  • Sociology and Political Science 395
  • Marketing 158
  • Organizational Behavior and Human Resource Management 127
  • Communication 60
Replace Seongtae Hong with:
Seongtae Hong South Korea
Thaemin Lee South Korea
Pruthikrai Mahatanankoon United States
Julio Jiménez Martínez Spain
Naveen Amblee India
Min-Jhih Cheng Taiwan
Christopher P. Furner United States
Sophea Chea United States
Xiuyuan Gong China
Tamilla Mavlanova United States
Jung‐Jung Chang relative to Seongtae Hong South Korea Seongtae Hong's profile →
Citations per field
00.5×1.7×
Seongtae Hong · 1×
Citations per year

Countries citing papers authored by Jung‐Jung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Jung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung‐Jung Chang. 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 Jung‐Jung Chang. The network helps show where Jung‐Jung Chang may publish in the future.

Co-authorship network of co-authors of Jung‐Jung Chang

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 12
3 5
4 5
5 2
6
Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectivesbreakdown →
526
7 40
8 5

About Jung‐Jung Chang

Jung‐Jung Chang is a scholar working on Information Systems and Management, Transportation and Organizational Behavior and Human Resource Management, having authored 8 papers that have together received 602 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (3 papers), Customer Service Quality and Loyalty (3 papers) and Digital Marketing and Social Media (3 papers). The work is most often cited by research in Information Systems and Management (396 citations), Marketing (158 citations) and Organizational Behavior and Human Resource Management (127 citations). Jung‐Jung Chang has collaborated with scholars based in Taiwan. Frequent co-authors include Kai‐Yu Tang, Chun‐Hua Hsiao, Kuang‐Peng Hung, Ming‐Ji James Lin, Chia-Li Lin, Chyan Yang and Yu Shan. Their work appears in journals such as Sustainability, R and D Management and Telematics and Informatics.

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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