Zulkeflee Abdullah

29 papers receiving 216 citations

Peers

Zulkeflee Abdullah
Comparison fields: 5 of 69
  • Mechanical Engineering 166
  • Biomedical Engineering 63
  • Computational Mechanics 53
  • Aerospace Engineering 41
  • Automotive Engineering 36
Replace Rama Bhadri Raju Chekuri with:
Rama Bhadri Raju Chekuri India
David C. Deisenroth United States
Asit Behera India
Janez Marko Slabe Slovenia
Manisha Priyadarshini India
M.V.V. Mortean Brazil
Marcin Kruzel Poland
Rui Amaral Portugal
Krzysztof Dutkowski Poland
Gregory J. Michna United States
Zulkeflee Abdullah relative to Rama Bhadri Raju Chekuri India Rama Bhadri Raju Chekuri's profile →
Citations per field
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Rama Bhadri Raju Chekuri · 1×
Citations per year

Countries citing papers authored by Zulkeflee Abdullah

Since Specialization
Citations

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

Fields of papers citing papers by Zulkeflee Abdullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zulkeflee Abdullah. 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 Zulkeflee Abdullah. The network helps show where Zulkeflee Abdullah may publish in the future.

Co-authorship network of co-authors of Zulkeflee Abdullah

This figure shows the co-authorship network connecting the top 25 collaborators of Zulkeflee Abdullah. A scholar is included among the top collaborators of Zulkeflee Abdullah 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 Zulkeflee Abdullah. Zulkeflee Abdullah 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
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5 10
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MULTI-RESPONSE OPTIMIZATION OF PLASTIC INJECTION MOULDING PROCESS USING GREY RELATIONAL ANALYSIS BASED IN TAGUCHI METHOD
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11
CLASSIFICATION OF WELD BEAD DEFECTS BASED ON IMAGE SEGMENTATION METHOD
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12 5
13
Study The Influnce Of Aceton To Improve Surface Finish Of 3D Printed Part For ABS And PLA Material
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14 5
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Problem-solving with industrial drawings: supporting formal graphics language development for Malaysian engineering graduates
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18 8
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About Zulkeflee Abdullah

Zulkeflee Abdullah is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and Mechanical Engineering, having authored 35 papers that have together received 235 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (8 papers), Additive Manufacturing and 3D Printing Technologies (7 papers) and Injection Molding Process and Properties (5 papers). The work is most often cited by research in Mechanical Engineering (166 citations), Automotive Engineering (36 citations) and Computational Mechanics (53 citations). Zulkeflee Abdullah has collaborated with scholars based in Malaysia, Indonesia and Canada. Frequent co-authors include M. Salcudean, D. R. Poirier, Donald A. McLeod, J. T. Rogers, Mohd Amran Md Ali, Mohd Shahir Kasim, A. Hambali, Colin Burvill, Sivarao Subramonian and Maizam Alias. Their work appears in journals such as International Journal of Heat and Mass Transfer, International Journal for Numerical Methods in Engineering and International Journal for Numerical Methods in Fluids.

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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