Ting-Ya Hsieh
- Management Science and Operations Research top 1%
- Building and Construction top 2%
- Strategy and Management top 5%
- Management Information Systems top 5%
- Management of Technology and Innovation top 5%
- Co-authors
- Shih-Tong LuGwo‐Hshiung TzengJieh‐Haur ChenCheng-Wu ChenCarl T. HaasJyh‐Bin YangPi‐Cheng TungMing-Chang Wu
- Topics
- Construction Project Management and Performance (6 papers)BIM and Construction Integration (4 papers)Multi-Criteria Decision Making (3 papers)
- Cited by
- Management Science and Operations ResearchBuilding and ConstructionRadiological and Ultrasound Technology
- Journals
- Automation in ConstructionInternational Journal of Project ManagementJournal of Construction Engineering and Management
- Partner nations
- TaiwanUnited States
In The Last Decade
Ting-Ya Hsieh
14 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Management Science and Operations Research 606
- Building and Construction 311
- Strategy and Management 204
- Management Information Systems 99
- Management of Technology and Innovation 96
Countries citing papers authored by Ting-Ya Hsieh
This map shows the geographic impact of Ting-Ya 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 Ting-Ya Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-Ya Hsieh more than expected).
Fields of papers citing papers by Ting-Ya Hsieh
This network shows the impact of papers produced by Ting-Ya 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 Ting-Ya Hsieh. The network helps show where Ting-Ya Hsieh may publish in the future.
Co-authorship network of co-authors of Ting-Ya Hsieh
This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Ya Hsieh. A scholar is included among the top collaborators of Ting-Ya 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 Ting-Ya Hsieh. Ting-Ya Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 30 | |
| 4 | 42 | |
| 5 | 82 | |
| 6 | 115 | |
| 7 | 8 | |
| 8 | Fuzzy MCDM approach for planning and design tenders selection in public office buildingsbreakdown → | 519 |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 56 | |
| 12 | 17 | |
| 13 | 57 | |
| 14 | 3 |
About Ting-Ya Hsieh
Ting-Ya Hsieh is a scholar working on Management Science and Operations Research, Building and Construction and Statistics and Probability, having authored 14 papers that have together received 947 indexed citations. Recurring topics across this work include Construction Project Management and Performance (6 papers), BIM and Construction Integration (4 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Management Science and Operations Research (606 citations), Building and Construction (311 citations) and Radiological and Ultrasound Technology (83 citations). Ting-Ya Hsieh has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shih-Tong Lu, Gwo‐Hshiung Tzeng, Jieh‐Haur Chen, Cheng-Wu Chen, Carl T. Haas, Jyh‐Bin Yang, Pi‐Cheng Tung and Ming-Chang Wu. Their work appears in journals such as Automation in Construction, International Journal of Project Management and Journal of Construction Engineering and Management.
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.