Tet Yeap

78 papers receiving 1.1k citations

Tet Yeap's Hit Papers

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis 2020 · 258 citations
2580+2+4Years since publication50100150200250

Peers

Tet Yeap
Comparison fields: 5 of 124
  • General Social Sciences 51
  • Signal Processing 104
  • Artificial Intelligence 297
  • Medical Laboratory Technology 12
  • Control and Systems Engineering 157
Replace Enamul Hoque with:
Enamul Hoque Canada
Mohammad A. M. Abushariah Jordan
Yan Shen China
Xu Tan China
Mostafa Dehghani Netherlands
Hong-Han Shuai Taiwan
Kia Dashtipour United Kingdom
A. S. M. Sanwar Hosen South Korea
Chin Poo Lee Malaysia
Tet Yeap relative to Enamul Hoque Canada Enamul Hoque's profile →
Citations per field
00.5×3.3×
Enamul Hoque · 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

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis
Hit paper breakdown →
2020258
2 200483
3 201970
4 199455
5 200548
6 199942
7 202435
8 200735
9 199033
10 200333
11 200532
12 200932
13 201825
14 199624
15 200419
16 199318
17 200218
18 200317
19 200417
20 200516

About Tet Yeap

Tet Yeap is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 92 papers that have together received 1.1k 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), Image and Signal Denoising Methods (6 papers), Smart Agriculture and AI (6 papers), Advanced Wireless Communication Techniques (6 papers), Power Line Communications and Noise (6 papers) and Speech and Audio Processing (6 papers). The work is most often cited by research in General Social Sciences (51 citations), Signal Processing (104 citations), Artificial Intelligence (297 citations), Medical Laboratory Technology (12 citations) and Control and Systems Engineering (157 citations). Tet Yeap has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Morad Benyoucef, Iluju Kiringa, Martin Bouchard, N. U. Ahmed, Jian Yao, Jianping Yao, Jian Liu, Ming Liang, Xianfeng Fan and Franklin Johnson. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, International Journal of Machine Tools and Manufacture, Smart Materials and Structures, IEEE Signal Processing Letters 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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