Ming-Chien Hung

820 citations
17 papers · 673 · h-index 11

Impact in

Papers in

Ming-Chien Hung

16 papers receiving 630 citations

Peers

Ming-Chien Hung
Comparison fields: 5 of 60
  • Information Systems and Management 358
  • Health Information Management 135
  • Management Information Systems 68
  • General Health Professions 102
  • Marketing 28
Replace Li-Min Lin with:
Li-Min Lin Taiwan
Sonja Wiley-Patton United States
William G. Chismar United States
Zapan Barua Bangladesh
Kai-I Huang Taiwan
Puspa Indahati Sandhyaduhita Indonesia
Galina Kondrateva France
Mohammad Zahedul Alam Bangladesh
Catherine L. Anderson United States
Chantal Ammi France
Ming-Chien Hung relative to Li-Min Lin Taiwan Li-Min Lin's profile →
Citations per field
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Li-Min Lin · 1×
Citations per year

Countries citing papers authored by Ming-Chien Hung

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chien Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chien Hung. 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 Ming-Chien Hung. The network helps show where Ming-Chien Hung may publish in the future.

Co-authors

The 14 scholars most cited alongside Ming-Chien Hung, 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 Ming-Chien Hung Line = papers co-authored together Ming-Chien Hung links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007130
2
AN EXAMINATION OF THE DETERMINANTS OF MOBILE SHOPPING CONTINUANCE
2012107
3 2010106
4 201074
5 201171
6 200751
7 200933
8 200826
9 201721
10 201418
11 201213
12 202010
13 20105
14 20105
15
A Model of Evaluating Competitive Advantages Associated with ERP from SCM Perspective
20041
16
The Roles of Causal Attribution on the Continued Use of E-learning Systems
20131
17 20191

About Ming-Chien Hung

Ming-Chien Hung is a scholar working on Information Systems and Management, Health Information Management, Management Information Systems, Information Systems and Computer Science Applications, having authored 17 papers that have together received 673 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (10 papers), Electronic Health Records Systems (4 papers), Health, Technology, Consumer Behavior (2 papers), ERP Systems Implementation and Impact (2 papers), Innovations in Medical Education (1 paper), Technology-Enhanced Education Studies (1 paper), Technology Use by Older Adults (1 paper) and Open Education and E-Learning (1 paper). The work is most often cited by research in Information Systems and Management (358 citations), Health Information Management (135 citations), Management Information Systems (68 citations), General Health Professions (102 citations) and Marketing (28 citations). Ming-Chien Hung has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Wen-Yuan Jen, I‐Chiu Chang, Hsin‐Ginn Hwang, Shih-Ting Yang, David C. Yen, Kuang-Ming Kuo, Paul C. Talley, Chi‐Yuan Chen, Ray‐E Chang and Yen‐Liang Chen. Their work appears in journals such as Journal of Medical Systems, Expert Systems with Applications, Behaviour and Information Technology, Information & Management and Decision Support Systems.

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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