D. Daniel Sheu

440 citations
30 papers · 316 indexed · h-index 11

D. Daniel Sheu

26 papers receiving 298 citations

Peers

D. Daniel Sheu
Comparison fields: 5 of 64
  • Management of Technology and Innovation 113
  • Industrial and Manufacturing Engineering 106
  • Safety, Risk, Reliability and Quality 70
  • Medical Laboratory Technology 7
  • Management Information Systems 38
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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-authorship network

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
#Work
1 20250
2 202014
3 202038
4 20195
5 201815
6
Proceedings of the 7th International Conference on Systematic Innovation - ICSI 2016
20161
7 201611
8
Systematic Organizational Conflicts Identification and Resolution Using Perception Mapping and Function Relationship Analysis
20150
9
Yield Improvement for a new MCM/SiP IC using TRIZ Processes
20151
10
TRIZ-based Systematic Device Trimming: Theory and Application
20131
11 20113
12
A Classification and Process of Systematic Innovation
20102
13 201015
14 20090
15 20087
16 20081
17 20076
18 200624
19 19961
20 19924

About D. Daniel Sheu

D. Daniel Sheu is a scholar working on Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, Medical Laboratory Technology, Management of Technology and Innovation and Management Science and Operations Research, having authored 30 papers that have together received 316 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (12 papers), Scheduling and Optimization Algorithms (5 papers), Technology Assessment and Management (5 papers), Design Education and Practice (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Advanced Machining and Optimization Techniques (3 papers) and Assembly Line Balancing Optimization (2 papers). The work is most often cited by research in Management of Technology and Innovation (113 citations), Industrial and Manufacturing Engineering (106 citations), Safety, Risk, Reliability and Quality (70 citations), Medical Laboratory Technology (7 citations) and Management Information Systems (38 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, Journal of Intelligent Manufacturing, International Journal of Production Economics, Journal of Manufacturing Systems and IEEE Transactions on Semiconductor Manufacturing.

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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