Liyana Shuib

5.6k total citations · 2 hit papers
111 papers, 3.8k citations indexed

About

Liyana Shuib is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Liyana Shuib has authored 111 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 30 papers in Information Systems and 19 papers in Sociology and Political Science. Recurrent topics in Liyana Shuib's work include Technology Adoption and User Behaviour (19 papers), Mobile Learning in Education (13 papers) and Sentiment Analysis and Opinion Mining (13 papers). Liyana Shuib is often cited by papers focused on Technology Adoption and User Behaviour (19 papers), Mobile Learning in Education (13 papers) and Sentiment Analysis and Opinion Mining (13 papers). Liyana Shuib collaborates with scholars based in Malaysia, Nigeria and Pakistan. Liyana Shuib's co-authors include Elaheh Yadegaridehkordi, Ghulam Mujtaba, Norisma Idris, Maria Ijaz Baig, Ainin Sulaiman, Noor Ismawati Jaafar, Vimala Balakrishnan, Sedigheh Moghavvemi, Christopher Ifeanyi Eke and Farzana Parveen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Liyana Shuib

106 papers receiving 3.6k citations

Hit Papers

Factors influencing the use of social media by SMEs and i... 2015 2026 2018 2022 2015 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liyana Shuib Malaysia 34 1.4k 803 671 661 378 111 3.8k
Othman Ibrahim Malaysia 41 1.3k 0.9× 1.3k 1.6× 815 1.2× 1.3k 1.9× 457 1.2× 163 5.2k
Ahmed Ibrahim Alzahrani Saudi Arabia 32 623 0.5× 736 0.9× 689 1.0× 447 0.7× 159 0.4× 111 3.3k
Yukun Bao China 46 1.1k 0.8× 520 0.6× 1.3k 1.9× 839 1.3× 465 1.2× 119 5.7k
Fernando Bação Portugal 27 1.6k 1.1× 441 0.5× 559 0.8× 539 0.8× 111 0.3× 84 4.5k
Khaled Shaalan United Arab Emirates 37 3.3k 2.4× 1.9k 2.4× 926 1.4× 789 1.2× 262 0.7× 232 6.7k
Miltiadis D. Lytras Greece 45 1.2k 0.9× 1.4k 1.7× 784 1.2× 991 1.5× 477 1.3× 259 6.8k
Virginia Dignum Netherlands 25 1.9k 1.4× 748 0.9× 176 0.3× 967 1.5× 465 1.2× 201 6.0k
Raymond Chiong Australia 39 1.6k 1.1× 352 0.4× 284 0.4× 589 0.9× 219 0.6× 197 5.3k
Osama Alfarraj Saudi Arabia 31 793 0.6× 890 1.1× 525 0.8× 302 0.5× 171 0.5× 180 3.0k
Mohammed Amin Almaiah Saudi Arabia 43 1.4k 1.0× 1.4k 1.8× 1.8k 2.7× 942 1.4× 424 1.1× 116 5.1k

Countries citing papers authored by Liyana Shuib

Since Specialization
Citations

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

Fields of papers citing papers by Liyana Shuib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyana Shuib

This figure shows the co-authorship network connecting the top 25 collaborators of Liyana Shuib. A scholar is included among the top collaborators of Liyana Shuib 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 Liyana Shuib. Liyana Shuib 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
1.
Bahari, Mahadi, İbrahim Arpacı, Nurulhuda Firdaus Mohd Azmi, & Liyana Shuib. (2023). Predicting the Intention to Use Learning Analytics for Academic Advising in Higher Education. Sustainability. 15(21). 15190–15190. 6 indexed citations
2.
Baig, Maria Ijaz, et al.. (2023). Identifying determinants of big data adoption in the higher education sector using a multi-analytical SEM-ANN approach. Education and Information Technologies. 28(12). 16457–16484. 5 indexed citations
4.
Gani, Abdullah, et al.. (2022). A Survey on Mobile Learning for Adult Learners: State-of-the-Art, Taxonomy, and Challenges. IEEE Access. 10. 83884–83897. 7 indexed citations
5.
Gani, Abdullah, et al.. (2022). A Framework for Mobile Learning Acceptance Amongst Formal Part-Time Learners: From the Andragogy Perspective. IEEE Access. 10. 61213–61227. 5 indexed citations
6.
Kamsin, Amirrudin, et al.. (2022). A Genetic Algorithm based Domain Adaptation Framework for Classification of Disaster Topic Text Tweets. The International Arab Journal of Information Technology. 20(1). 7 indexed citations
7.
Elaish, Monther M., et al.. (2021). Mobile English language learning: a systematic review of group size, duration, and assessment methods. Computer Assisted Language Learning. 36(3). 430–456. 10 indexed citations
8.
Baig, Maria Ijaz, Liyana Shuib, & Elaheh Yadegaridehkordi. (2021). A Model for Decision-Makers’ Adoption of Big Data in the Education Sector. Sustainability. 13(24). 13995–13995. 30 indexed citations
9.
Balakrishnan, Vimala & Liyana Shuib. (2021). Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia. Technology in Society. 65. 101554–101554. 111 indexed citations
10.
Murtaza, Ghulam, Ainuddin Wahid Abdul Wahab, Ghulam Raza, & Liyana Shuib. (2021). A tree-based multiclassification of breast tumor histopathology images through deep learning. Computerized Medical Imaging and Graphics. 89. 101870–101870. 11 indexed citations
11.
Shuib, Liyana, et al.. (2021). Detecting Covid-19 in Chest X-Ray Images With Convolutional Neural Network. 1–10. 1 indexed citations
12.
Chiroma, Haruna, et al.. (2020). Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks. PeerJ Computer Science. 6. e313–e313. 27 indexed citations
13.
Shuib, Liyana, Elaheh Yadegaridehkordi, & Ainin Sulaiman. (2019). Malaysian urban poor adoption of e-government applications and their satisfaction. Cogent Social Sciences. 5(1). 24 indexed citations
14.
Eke, Christopher Ifeanyi, Azah Anir Norman, Liyana Shuib, & Henry Friday Nweke. (2019). A Survey of User Profiling: State-of-the-Art, Challenges, and Solutions. IEEE Access. 7. 144907–144924. 84 indexed citations
15.
Mujtaba, Ghulam, et al.. (2018). Classification of forensic autopsy reports through conceptual graph-based document representation model. Journal of Biomedical Informatics. 82. 88–105. 13 indexed citations
16.
Sulaiman, Ainin, Farzana Parveen Tajudeen, Noor Ismawati Jaafar, Sedigheh Moghavvemi, & Liyana Shuib. (2017). The Relationship between SME Owner’s Personality, Facebook Usage and Organizational Performance. Pacific Asia Conference on Information Systems. 291. 2 indexed citations
17.
Chiroma, Haruna, Abdullah Khan, Adamu Abubakar, et al.. (2016). A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm. Applied Soft Computing. 48. 50–58. 50 indexed citations
18.
Shuib, Liyana, et al.. (2015). A review of mobile pervasive learning: Applications and issues. Computers in Human Behavior. 46. 239–244. 39 indexed citations
19.
Chiroma, Haruna, Sameem Abdul Kareem, Abdullah Khan, et al.. (2015). Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm. PLoS ONE. 10(8). e0136140–e0136140. 39 indexed citations
20.
Khoshnevisan, Benyamin, Mohammad Ali Rajaeifar, Sean Clark, et al.. (2014). Evaluation of traditional and consolidated rice farms in Guilan Province, Iran, using life cycle assessment and fuzzy modeling. The Science of The Total Environment. 481. 242–251. 82 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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