Ping‐Yu Hsu

75 papers receiving 1.6k citations

Peers

Ping‐Yu Hsu
Comparison fields: 5 of 107
  • Information Systems and Management 338
  • Management Information Systems 321
  • Marketing 242
  • Hardware and Architecture 171
  • Organizational Behavior and Human Resource Management 171
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Stuart Madnick United States
Praveen Ranjan Srivastava India
Patrick C. K. Hung Canada
Anurag Agarwal United States
Han Zhang China
Wonjun Lee South Korea
Franz Rothlauf Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ping‐Yu Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Yu Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ping‐Yu Hsu. 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 Ping‐Yu Hsu. The network helps show where Ping‐Yu Hsu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ping‐Yu Hsu, 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 Ping‐Yu Hsu Line = papers co-authored together Ping‐Yu Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986181
2 2018138
3 2006134
4 1992113
5 200989
6 198887
7 201878
8 201364
9 201962
10 202356
11 201444
12 200542
13
ERP Systems Success: An Integration of IS Success Model and Balanced Scorecard
200841
14 200238
15 201737
16 201436
17 200335
18 200235
19 202234
20 201823

About Ping‐Yu Hsu

Ping‐Yu Hsu is a scholar working on Information Systems, Information Systems and Management, Management Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (21 papers), ERP Systems Implementation and Impact (10 papers), Data Mining Algorithms and Applications (9 papers), Digital Marketing and Social Media (9 papers), Customer Service Quality and Loyalty (7 papers), Robot Manipulation and Learning (7 papers), Advanced Database Systems and Queries (6 papers) and Knowledge Management and Sharing (5 papers). The work is most often cited by research in Information Systems and Management (338 citations), Management Information Systems (321 citations), Marketing (242 citations), Hardware and Architecture (171 citations) and Organizational Behavior and Human Resource Management (171 citations). Ping‐Yu Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu-Wei Chang, Edward S. Davidson, Shankar Sastry, Wen‐Lung Shiau, Hua-Yang Lin, Gwo-Ji Sheen, Yu‐Wei Chang, John Hauser, Michael Behnke and Yen‐Liang Chen. Their work appears in journals such as Information Sciences, Expert Systems with Applications, Industrial Management & Data Systems, International Journal of Computer Integrated Manufacturing and IEEE Access.

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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