D. Daniel Sheu

446 citations
31 papers · 356 · h-index 12

Impact in

Papers in

D. Daniel Sheu

27 papers receiving 331 citations

Peers

D. Daniel Sheu
Comparison fields: 5 of 64
  • Management of Technology and Innovation 127
  • Industrial and Manufacturing Engineering 122
  • Safety, Risk, Reliability and Quality 81
  • Medical Laboratory Technology 8
  • Management Information Systems 43
Replace Leonid Chechurin with:
Leonid Chechurin Finland
Samuel Bassetto Canada
Amadou Coulibaly France
John Terninko United States
Marc Zolghadri France
Dag Bergsjö Sweden
Michel Tollenaere France
Jaeil Park South Korea
Parveen S. Goel United States
Jelena Milisavljevic-Syed United Kingdom
D. Daniel Sheu relative to Leonid Chechurin Finland Leonid Chechurin's profile →
Citations per field
00.5×1.5×2×2.3×
Leonid Chechurin · 1×
Citations per year

Countries citing papers authored by D. Daniel Sheu

Since Specialization
Citations

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

Fields of papers citing papers by D. Daniel Sheu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Daniel Sheu. 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 D. Daniel Sheu. The network helps show where D. Daniel Sheu may publish in the future.

Co-authors

The 9 scholars most cited alongside D. Daniel Sheu, 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 D. Daniel Sheu Line = papers co-authored together D. Daniel Sheu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201070
2 202042
3 201334
4 200626
5 200619
6 200619
7 201018
8 201816
9 202015
10 200314
11 201512
12 201611
13 20199
14 20179
15 20087
16 20077
17 20064
18 19924
19 20113
20 20213

About D. Daniel Sheu

D. Daniel Sheu is a scholar working on Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Mechanical Engineering, Control and Systems Engineering and Information Systems, having authored 31 papers that have together received 356 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (12 papers), Technology Assessment and Management (5 papers), Scheduling and Optimization Algorithms (5 papers), Design Education and Practice (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Systems Engineering Methodologies and Applications (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Advanced Machining and Optimization Techniques (3 papers). The work is most often cited by research in Management of Technology and Innovation (127 citations), Industrial and Manufacturing Engineering (122 citations), Safety, Risk, Reliability and Quality (81 citations), Medical Laboratory Technology (8 citations) and Management Information Systems (43 citations). D. Daniel Sheu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Chuan Chiu, Chia‐Hung Chen, Usharani Hareesh Govindarajan, Darrell Mann, Chia-Lin Ho, Alan H. Bond, Liangxing Shi, Virgílio António Cruz Machado and Helena V. G. Navas. Their work appears in journals such as Computers & Industrial Engineering, International Journal of Production Economics, Journal of Manufacturing Systems, Journal of Intelligent Manufacturing and Expert Systems with Applications.

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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