D. Yap

1.4k citations
77 papers · 1.1k indexed · h-index 19

D. Yap

71 papers receiving 1.0k citations

Peers

D. Yap
Comparison fields: 5 of 49
  • Fluid Flow and Transfer Processes 671
  • Automotive Engineering 338
  • Computational Mechanics 404
  • Electrical and Electronic Engineering 400
  • Biomedical Engineering 304
Replace Tomonori Urushihara with:
Tomonori Urushihara United Kingdom
M. Castagné France
Aaron Knobloch United States
F. Dupret Belgium
E. Marotta United States
Chaoyang Liu China
Seong-Ku Kim South Korea
Tai Wang China
Christian Petrie United States
D. Yap relative to Tomonori Urushihara United Kingdom Tomonori Urushihara's profile →
Citations per field
00.5×1.5×2.4×
Tomonori Urushihara · 1×
Citations per year

Countries citing papers authored by D. Yap

Since Specialization
Citations

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

Fields of papers citing papers by D. Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Yap, 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. Yap Line = papers co-authored together D. Yap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20220
2 20151
3 20139
4 201313
5 20127
6 20127
7 201230
8 200760
9 200788
10 200555
11 200530
12
Facilitation of HCCI combustion of biogas at moderate compression ratios by application of fuel reforming and inlet air heating
200416
13
Photonic Analog-to-Digital Conversion Technology
20040
14 200111
15 20001
16 19954
17 199523
18 19947
19 19921
20 19911

About D. Yap

D. Yap is a scholar working on Fluid Flow and Transfer Processes, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Photonic and Optical Devices (26 papers), Advanced Photonic Communication Systems (19 papers), Advanced Combustion Engine Technologies (18 papers), Semiconductor Lasers and Optical Devices (15 papers), Semiconductor Quantum Structures and Devices (14 papers), Combustion and flame dynamics (11 papers), 3D IC and TSV technologies (11 papers) and Electronic Packaging and Soldering Technologies (10 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (671 citations), Automotive Engineering (338 citations) and Computational Mechanics (404 citations). D. Yap has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include A. Megaritis, Mirosław L. Wyszynski, Hongming Xu, A. Tsolakis, Z.W. Zhong, Tong Yan Tee, Hun Shen Ng, Xavier Baraton, M. Lui and R. A. McFarlane. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, IEEE Photonics Technology Letters, Electronics Letters, Microelectronics Reliability and Fuel.

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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