Ho-Nien Hsieh

573 citations
8 papers · 424 indexed · 1 hit paper · h-index 7
Topics
Manufacturing Process and Optimization (2 papers)Multi-Criteria Decision Making (2 papers)Product Development and Customization (1 paper)

In The Last Decade

Ho-Nien Hsieh

8 papers receiving 406 citations

Hit Papers

Evaluating teaching performance based on fuzzy AHP and co...20142026201820222014100200300

Peers

Ho-Nien Hsieh
Comparison fields: 5 of 99
  • Management Science and Operations Research 120
  • Artificial Intelligence 82
  • Information Systems 67
  • Control and Systems Engineering 41
  • Strategy and Management 34
Replace Gao-Feng Yu with:
Gao-Feng Yu China
William Derigent France
Huanhuan Zhang China
Aleksandar Milić Serbia
Jian-Peng Chang China
Sha Fu China
Antoni Wibowo Indonesia
Armaghan Heidarzade Iran
A. Çağrı Tolga Türkiye
Daisuke Yamaguchi Japan
Ho-Nien Hsieh relative to Gao-Feng Yu China Gao-Feng Yu's profile →
Citations per field
00.5×7.5×
Gao-Feng Yu · 1×
Citations per year

Countries citing papers authored by Ho-Nien Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ho-Nien Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho-Nien Hsieh. 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 Ho-Nien Hsieh. The network helps show where Ho-Nien Hsieh may publish in the future.

Co-authorship network of co-authors of Ho-Nien Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Ho-Nien Hsieh. A scholar is included among the top collaborators of Ho-Nien Hsieh 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 Ho-Nien Hsieh. Ho-Nien Hsieh 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 9
2 59
3 10
4
Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approachbreakdown →
304
5 6
6 26
7 7
8 3

About Ho-Nien Hsieh

Ho-Nien Hsieh is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Computer Science Applications, having authored 8 papers that have together received 424 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (2 papers), Multi-Criteria Decision Making (2 papers) and Product Development and Customization (1 paper). The work is most often cited by research in Management Science and Operations Research (120 citations), Ecological Modeling (25 citations) and Computer Science Applications (29 citations). Ho-Nien Hsieh has collaborated with scholars based in Taiwan, Vietnam and United States. Frequent co-authors include Quang Hung, Jeng-Fung Chen and M. L. Stone. Their work appears in journals such as International Journal of Production Research, Applied Soft Computing and Journal of Engineering Design.

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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