Lie‐Fern Hsu

837 citations
30 papers · 651 indexed · h-index 16
Topics
Supply Chain and Inventory Management (13 papers)Scheduling and Optimization Algorithms (9 papers)Advanced Statistical Process Monitoring (9 papers)

In The Last Decade

Lie‐Fern Hsu

30 papers receiving 609 citations

Peers

Lie‐Fern Hsu
Comparison fields: 5 of 46
  • Management Information Systems 453
  • Strategy and Management 311
  • Industrial and Manufacturing Engineering 214
  • Statistics, Probability and Uncertainty 139
  • Management Science and Operations Research 104
Replace D. Acharya with:
D. Acharya India
Young H. Chun United States
Kit‐Nam Francis Leung Hong Kong
Shaohui Zheng Hong Kong
Chung-Chi Hsieh Taiwan
Timothy S. Vaughan United States
I Gede Agus Widyadana Indonesia
Roger M. Kerr Australia
I. Djamaludin Australia
Sumon Sarkar India
Lie‐Fern Hsu relative to D. Acharya India D. Acharya's profile →
Citations per field
00.5×9.9×
D. Acharya · 1×
Citations per year

Countries citing papers authored by Lie‐Fern Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Lie‐Fern Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lie‐Fern Hsu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 47
2 6
3 18
4 16
5 33
6 16
7 27
8 26
9 33
10 14
11 14
12 1
13 1
14 6
15 11
16 31
17 20
18 24
19 14
20 13

About Lie‐Fern Hsu

Lie‐Fern Hsu is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 651 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (13 papers), Scheduling and Optimization Algorithms (9 papers) and Advanced Statistical Process Monitoring (9 papers). The work is most often cited by research in Management Information Systems (453 citations), Industrial and Manufacturing Engineering (214 citations) and Strategy and Management (311 citations). Lie‐Fern Hsu has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Jia-Tzer Hsu, Charles S. Tapiero, YOUNG K. SON, Vijay Aggarwal, Chinho Lin and Ting-Hsuan Chien. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

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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