Hua-Yang Lin

523 citations
6 papers · 382 indexed · h-index 4
Topics
ERP Systems Implementation and Impact (3 papers)Big Data and Business Intelligence (2 papers)Data Quality and Management (2 papers)
Partner nations
Taiwan

In The Last Decade

Hua-Yang Lin

6 papers receiving 347 citations

Peers

Hua-Yang Lin
Comparison fields: 5 of 70
  • Information Systems and Management 168
  • Sociology and Political Science 151
  • Marketing 114
  • Organizational Behavior and Human Resource Management 106
  • Management Science and Operations Research 77
Replace Huaying Shu with:
Huaying Shu China
Kuo-Kuang Chu Taiwan
Yannis Politis Greece
Namjae Cho South Korea
James Corner New Zealand
Sanjay Dhingra India
Ming-Chun Tsai Taiwan
Barry Wray United States
Seongmin Jeon South Korea
Hua-Yang Lin relative to Huaying Shu China Huaying Shu's profile →
Citations per field
00.5×3.2×
Huaying Shu · 1×
Citations per year

Countries citing papers authored by Hua-Yang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Yang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua-Yang Lin. 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 Hua-Yang Lin. The network helps show where Hua-Yang Lin may publish in the future.

Co-authorship network of co-authors of Hua-Yang Lin

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 233
2
Application of the Analytic Hierarchy Process on Data Warehouse System Selection Decisions for Small and Large Enterprises in Taiwan
9
3 132
4 1
5 6
6 1

About Hua-Yang Lin

Hua-Yang Lin is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 6 papers that have together received 382 indexed citations. Recurring topics across this work include ERP Systems Implementation and Impact (3 papers), Big Data and Business Intelligence (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Information Systems and Management (168 citations), Marketing (114 citations) and Organizational Behavior and Human Resource Management (106 citations). Hua-Yang Lin has collaborated with scholars based in Taiwan. Frequent co-authors include Szu‐Yuan Sun, Chao‐Min Chiu, Ping‐Yu Hsu, Gwo-Ji Sheen, Wen-Hsien Tsai, Wen‐Lung Shiau and Jun-Der Leu. Their work appears in journals such as Expert Systems with Applications, Behaviour and Information Technology and Information Technology Interfaces.

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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