Yu–N Cheah

1.4k total citations
68 papers, 940 citations indexed

About

Yu–N Cheah is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Yu–N Cheah has authored 68 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 23 papers in Information Systems and 8 papers in Molecular Biology. Recurrent topics in Yu–N Cheah's work include Advanced Text Analysis Techniques (17 papers), Sentiment Analysis and Opinion Mining (16 papers) and Semantic Web and Ontologies (15 papers). Yu–N Cheah is often cited by papers focused on Advanced Text Analysis Techniques (17 papers), Sentiment Analysis and Opinion Mining (16 papers) and Semantic Web and Ontologies (15 papers). Yu–N Cheah collaborates with scholars based in Malaysia, Iraq and Canada. Yu–N Cheah's co-authors include Toqir A. Rana, Syed Sibte Raza Abidi, Chee Peng Lim, Choo Jun Tan, Nurul Hashimah Ahamed Hassain Malim, Janet Curran, Ammar Ismael Kadhim, Osamah Mohammed Alyasiri, Sukumar Letchmunan and Ammar Kamal Abasi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Yu–N Cheah

59 papers receiving 878 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu–N Cheah Malaysia 15 665 175 88 47 45 68 940
Solange Oliveira Rezende Brazil 17 589 0.9× 320 1.8× 98 1.1× 28 0.6× 134 3.0× 122 945
Indranil Bose India 8 460 0.7× 132 0.8× 54 0.6× 50 1.1× 56 1.2× 21 824
Shan Huang United States 14 247 0.4× 146 0.8× 136 1.5× 20 0.4× 40 0.9× 40 557
Şule Gündüz Öğüdücü Türkiye 17 309 0.5× 222 1.3× 120 1.4× 26 0.6× 83 1.8× 58 804
Jesus Serrano‐Guerrero Spain 14 484 0.7× 282 1.6× 147 1.7× 17 0.4× 57 1.3× 50 850
Francesco Osborne United Kingdom 15 528 0.8× 191 1.1× 47 0.5× 28 0.6× 56 1.2× 63 851
Fernando Martínez‐Plumed Spain 13 331 0.5× 104 0.6× 62 0.7× 37 0.8× 53 1.2× 35 807
Chunhua Ju China 14 378 0.6× 180 1.0× 115 1.3× 56 1.2× 266 5.9× 73 896
Francisco P. Romero Spain 12 493 0.7× 307 1.8× 136 1.5× 13 0.3× 48 1.1× 42 769
Elio Masciari Italy 17 358 0.5× 277 1.6× 118 1.3× 43 0.9× 66 1.5× 100 745

Countries citing papers authored by Yu–N Cheah

Since Specialization
Citations

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

Fields of papers citing papers by Yu–N Cheah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu–N Cheah. 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 Yu–N Cheah. The network helps show where Yu–N Cheah may publish in the future.

Co-authorship network of co-authors of Yu–N Cheah

This figure shows the co-authorship network connecting the top 25 collaborators of Yu–N Cheah. A scholar is included among the top collaborators of Yu–N Cheah 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 Yu–N Cheah. Yu–N Cheah 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
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Zhang, Hao, et al.. (2024). Exploring aspect-based sentiment quadruple extraction with implicit aspects, opinions, and ChatGPT: a comprehensive survey. Artificial Intelligence Review. 57(2). 15 indexed citations
4.
Cheah, Yu–N, et al.. (2023). Utilizing Word Index Approach with LSTM Architecture for Extracting Adverse Drug Reaction from Medical Reviews. Journal of Advances in Information Technology. 14(3). 543–549. 2 indexed citations
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Malim, Nurul Hashimah Ahamed Hassain, et al.. (2022). Unsupervised model for aspect categorization and implicit aspect extraction. Knowledge and Information Systems. 64(6). 1625–1651. 8 indexed citations
7.
Cheah, Yu–N, et al.. (2019). EVOLUTIONARY COMBINATORIAL OPTIMIZATION FOR WORD EMBEDDING (ECOWE) IN SENTIMENT CLASSIFICATION. Malaysian Journal of Computer Science. 34–45. 2 indexed citations
8.
Teh, Phoey Lee, et al.. (2018). Hidden Sentiment Behind Letter Repetition in Online Reviews. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 10. 115–120. 3 indexed citations
9.
Rana, Toqir A., Yu–N Cheah, & Sukumar Letchmunan. (2016). Topic Modeling in Sentiment Analysis: A Systematic Review. SHILAP Revista de lepidopterología. 10(1). 76–93. 45 indexed citations
10.
Rana, Toqir A. & Yu–N Cheah. (2016). Exploiting sequential patterns to detect objective aspects from online reviews. 1–5. 12 indexed citations
11.
Kadhim, Ammar Ismael, et al.. (2014). Feature extraction for co-occurrence-based cosine similarity score of text documents. 5. 1–4. 10 indexed citations
12.
Cheah, Yu–N, et al.. (2013). Question Classification Using Extreme Learning Machine on Semantic Features. SHILAP Revista de lepidopterología. 7(1). 36–58. 12 indexed citations
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Cheah, Yu–N, et al.. (2011). An unsupervised center sentence-based clustering approach for rule-based question answering. 125–129. 1 indexed citations
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Cheah, Yu–N, et al.. (2006). A framework for cohesive healthcare coalition formation.. PubMed. 124. 575–80. 1 indexed citations
16.
Cheah, Yu–N, et al.. (2005). A knowledge discovery pipeline for medical decision support using clustering ensemble and neural network ensemble.. 336–343.
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Cheah, Yu–N, et al.. (2005). A Generic Plan Ontology for Dynamic Health Plans.. 165–171. 1 indexed citations
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Cheah, Yu–N, et al.. (2003). Intelligent Agent Modeling and Generic Architecture Towards a Multi-Agent Healthcare Knowledge Management System.. 941–944. 2 indexed citations
19.
Abidi, Syed Sibte Raza & Yu–N Cheah. (2001). A Knowledge Creation Strategy to Enrich Enterprise Information Systems with Enterprise-Specific Tacit Knowledge.. International Conference on Enterprise Information Systems. 633–638. 1 indexed citations
20.
Cheah, Yu–N & Syed Sibte Raza Abidi. (2000). Healthcare Knowledge Acquisition: An Ontology-Based Approach Using the Extensible Markup Language (XML). Studies in health technology and informatics. 77. 827–31. 1 indexed citations

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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