M. Omair Shafiq

1.1k total citations · 1 hit paper
43 papers, 559 citations indexed

About

M. Omair Shafiq is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, M. Omair Shafiq has authored 43 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in M. Omair Shafiq's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Data Management and Algorithms (6 papers). M. Omair Shafiq is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Data Management and Algorithms (6 papers). M. Omair Shafiq collaborates with scholars based in Canada, Pakistan and United Arab Emirates. M. Omair Shafiq's co-authors include Jingyi Shen, Hongzhi Zhang, Ashraf Matrawy, Razi Iqbal, Talal Ashraf Butt, Olga Baysal, William L. Hamilton, Anthony Whitehead, Muhammad Altaf and Saiqa Andleeb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

M. Omair Shafiq

41 papers receiving 527 citations

Hit Papers

Short-term stock market price trend prediction using a co... 2020 2026 2022 2024 2020 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Short-term stock market price trend prediction using a comprehensive deep learning system
    2020 196 citations Jingyi Shen, M. Omair Shafiq Journal Of Big Data profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Omair Shafiq Canada 12 194 182 101 73 61 43 559
Nijat Mehdiyev Germany 11 196 1.0× 171 0.9× 61 0.6× 62 0.8× 59 1.0× 27 526
C. K. Jha India 9 166 0.9× 200 1.1× 130 1.3× 104 1.4× 85 1.4× 49 529
Abdul Quadir India 13 136 0.7× 111 0.6× 73 0.7× 111 1.5× 116 1.9× 58 570
Monika Mangla India 10 127 0.7× 81 0.4× 58 0.6× 54 0.7× 70 1.1× 55 393
Maqsood Mahmud Saudi Arabia 14 219 1.1× 135 0.7× 77 0.8× 72 1.0× 65 1.1× 48 576
Yuming Ou Australia 9 351 1.8× 58 0.3× 78 0.8× 185 2.5× 68 1.1× 32 564
Gourav Bathla India 12 150 0.8× 95 0.5× 88 0.9× 180 2.5× 102 1.7× 34 482
Hassan Najadat Jordan 13 309 1.6× 70 0.4× 44 0.4× 154 2.1× 41 0.7× 54 559
Nureize Arbaiy Malaysia 9 136 0.7× 189 1.0× 45 0.4× 29 0.4× 30 0.5× 55 491
Fangzhou Yang China 9 280 1.4× 161 0.9× 155 1.5× 82 1.1× 29 0.5× 20 548

Countries citing papers authored by M. Omair Shafiq

Since Specialization
Citations

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

Fields of papers citing papers by M. Omair Shafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Omair Shafiq. 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 M. Omair Shafiq. The network helps show where M. Omair Shafiq may publish in the future.

Co-authorship network of co-authors of M. Omair Shafiq

This figure shows the co-authorship network connecting the top 25 collaborators of M. Omair Shafiq. A scholar is included among the top collaborators of M. Omair Shafiq 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 M. Omair Shafiq. M. Omair Shafiq 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, Hongzhi & M. Omair Shafiq. (2024). Survey of transformers and towards ensemble learning using transformers for natural language processing. Journal Of Big Data. 11(1). 25–25. 41 indexed citations
3.
Shafiq, M. Omair, et al.. (2022). Towards Emotion Cause Generation in Natural Language Processing using Deep Learning. 140–147. 1 indexed citations
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Shafiq, M. Omair, et al.. (2022). Explainable Convolutional Neural Networks: A Taxonomy, Review, and Future Directions. ACM Computing Surveys. 55(10). 1–37. 60 indexed citations
5.
Shafiq, M. Omair, et al.. (2022). A Comprehensive Artificial Intelligence Based User Intention Assessment Model from Online Reviews and Social Media. Applied Artificial Intelligence. 36(1). 20 indexed citations
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Shafiq, M. Omair, et al.. (2022). A Real-time, Scalable Monitoring and User Analytics Solution for Microservices-based Software Applications. 2022 IEEE International Conference on Big Data (Big Data). 6125–6134. 2 indexed citations
7.
Shafiq, M. Omair, et al.. (2021). Modeling and Predicting Online Learning Activities of Students: An HMM-LSTM based Hybrid Solution. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 682–687. 2 indexed citations
8.
Andleeb, Saiqa, et al.. (2021). ESIDE: A computationally intelligent method to identify earthworm species (E. fetida) from digital images: Application in taxonomy. PLoS ONE. 16(9). e0255674–e0255674. 3 indexed citations
9.
Shen, Jingyi & M. Omair Shafiq. (2020). Short-term stock market price trend prediction using a comprehensive deep learning system. Journal Of Big Data. 7(1). 66–66. 196 indexed citations breakdown →
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Shafiq, M. Omair, et al.. (2019). Identifying High Value Users in Twitter Based on Text Mining Approaches. 634–641. 1 indexed citations
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Shafiq, M. Omair, et al.. (2018). Towards a New Approach to Empower Periodic Pattern Mining for Massive Data using Map-Reduce. 2206–2215. 3 indexed citations
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Shafiq, M. Omair, et al.. (2018). On the Analysis of a Public Dataset for Diabetes. 3. 88–93.
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Shafiq, M. Omair, et al.. (2018). Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips. 130–135. 4 indexed citations
18.
Shafiq, M. Omair, et al.. (2017). On the Measurement and Analysis of Safety in a Large City. 1068–1075. 2 indexed citations
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Shafiq, M. Omair, et al.. (2017). Towards MapReduce based Bayesian deep learning network for monitoring big data applications. 2112–2121. 3 indexed citations
20.
Shafiq, M. Omair, et al.. (2016). A Parallel K-Medoids Algorithm for Clustering based on MapReduce. 502–507. 15 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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