Tet Yeap

72 papers receiving 945 citations

Peers

Tet Yeap
Comparison fields: 5 of 128
  • General Social Sciences 46
  • Signal Processing 92
  • Artificial Intelligence 253
  • Medical Laboratory Technology 11
  • Control and Systems Engineering 148
Replace Enrique Alegre with:
Enrique Alegre Spain
Enamul Hoque Canada
Xu Tan China
Yunhao Yuan China
Yan Shen China
Sandeep Kumar India
Deqing Wang China
Francisco J. González‐Castaño Spain
Mohammad A. M. Abushariah Jordan
Kia Dashtipour United Kingdom
Tet Yeap relative to Enrique Alegre Spain Enrique Alegre's profile →
Citations per field
00.5×5.5×
Enrique Alegre · 1×
Citations per year

Countries citing papers authored by Tet Yeap

Since Specialization
Citations

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

Fields of papers citing papers by Tet Yeap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 202431
3 20241
4 20241
5 20241
6 20240
7 20230
8 20233
9 2020220
10 201823
11 20131
12 200931
13 200735
14 200530
15
Single longitudinal mode multi-wavelength fiber ring lasers
20046
16 199941
17 19971
18 199315
19 19928
20 199027

About Tet Yeap

Tet Yeap is a scholar working on Signal Processing, Medical Laboratory Technology, Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering, having authored 87 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Blind Source Separation Techniques (9 papers), Fault Detection and Control Systems (7 papers), Speech and Audio Processing (6 papers), Image and Signal Denoising Methods (6 papers), Advanced Wireless Communication Techniques (6 papers), Advanced Fiber Optic Sensors (5 papers) and Smart Agriculture and AI (5 papers). The work is most often cited by research in General Social Sciences (46 citations), Signal Processing (92 citations), Artificial Intelligence (253 citations), Medical Laboratory Technology (11 citations) and Control and Systems Engineering (148 citations). Tet Yeap has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Morad Benyoucef, Martin Bouchard, Iluju Kiringa, N. U. Ahmed, Jianping Yao, Jian Yao, Jian Liu, Xianfeng Fan, Ming Liang and Franklin Johnson. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Smart Materials and Structures, International Journal of Machine Tools and Manufacture, IEEE Transactions on Intelligent Transportation Systems and Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

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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