Mubashir Ali

1.3k total citations
49 papers, 794 citations indexed

About

Mubashir Ali is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mubashir Ali has authored 49 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mubashir Ali's work include Text and Document Classification Technologies (6 papers), Spam and Phishing Detection (5 papers) and Software Engineering Research (5 papers). Mubashir Ali is often cited by papers focused on Text and Document Classification Technologies (6 papers), Spam and Phishing Detection (5 papers) and Software Engineering Research (5 papers). Mubashir Ali collaborates with scholars based in Pakistan, United Kingdom and Italy. Mubashir Ali's co-authors include Hafiz Husnain Raza Sherazi, Umair Muneer Butt, Anees Baqir, Sukumar Letchmunan, Amna Noureen, Babar Hayat, Amna Riaz, Fadratul Hafinaz Hassan, Aziz Ur Rehman and Shehzad Khalid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Mubashir Ali

45 papers receiving 740 citations

Peers

Mubashir Ali
Mubashir Ali
Citations per year, relative to Mubashir Ali Mubashir Ali (= 1×) peers Ljiljana Branković

Countries citing papers authored by Mubashir Ali

Since Specialization
Citations

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

Fields of papers citing papers by Mubashir Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubashir Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mubashir Ali. A scholar is included among the top collaborators of Mubashir Ali 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 Mubashir Ali. Mubashir Ali 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.
Butt, Umair Muneer, Sukumar Letchmunan, Mubashir Ali, & Hafiz Husnain Raza Sherazi. (2025). START: A Spatiotemporal Autoregressive Transformer for Enhancing Crime Prediction Accuracy. IEEE Transactions on Computational Social Systems. 12(6). 4650–4664.
2.
Hussain, Iftikhar, Karanpal Singh, B. Kalidasan, et al.. (2025). The rise of 4D printing Technology: 2D MXenes for different applications. Chemical Engineering Journal. 508. 160856–160856. 2 indexed citations
3.
Baqir, Anees, et al.. (2024). Identifying COVID-19 survivors living with post-traumatic stress disorder through machine learning on Twitter. Scientific Reports. 14(1). 18902–18902. 2 indexed citations
4.
Saeed, Muhammad, et al.. (2023). An innovative approach to passport quality assessment based on the possibility q-rung ortho-pair fuzzy hypersoft set. Heliyon. 9(9). e19379–e19379. 5 indexed citations
5.
Deng, Xiaoheng, et al.. (2023). DFA-SAT: Dynamic Feature Abstraction with Self-Attention-Based 3D Object Detection for Autonomous Driving. Sustainability. 15(18). 13667–13667. 9 indexed citations
6.
Sherazi, Hafiz Husnain Raza, et al.. (2023). Estimating Anthropometric Soft Biometrics: An Empirical Method. Intelligent Automation & Soft Computing. 37(3). 2727–2743.
7.
Zaman, Shahid, et al.. (2023). On the topological descriptors and structural analysis of cerium oxide nanostructures. Chemical Papers. 77(5). 2917–2922. 48 indexed citations
8.
Hussain, Asad, et al.. (2022). Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants. Sensors. 22(19). 7488–7488. 7 indexed citations
9.
Ali, Mubashir, Anees Baqir, Hafiz Husnain Raza Sherazi, et al.. (2022). Machine Learning Based Psychotic Behaviors Prediction from Facebook Status Updates. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 2411–2427. 6 indexed citations
10.
Butt, Umair Muneer, Sukumar Letchmunan, Fadratul Hafinaz Hassan, et al.. (2021). Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities. IEEE Access. 9. 47516–47529. 32 indexed citations
11.
Butt, Umair Muneer, Sukumar Letchmunan, Mubashir Ali, et al.. (2021). Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Journal of Healthcare Engineering. 2021. 1–17. 107 indexed citations
12.
Ali, Mubashir, et al.. (2020). Towards the Discovery of Influencers to Follow in Micro-Blogs (Twitter) by Detecting Topics in Posted Messages (Tweets). Applied Sciences. 10(16). 5715–5715. 9 indexed citations
13.
Ali, Mubashir, et al.. (2020). Automatic Release Notes Generation. 76–81. 7 indexed citations
14.
Ali, Mubashir, et al.. (2019). Comprehensive stemmer for morphologically rich urdu language.. The International Arab Journal of Information Technology. 16. 138–147. 8 indexed citations
15.
Ali, Mubashir, et al.. (2018). A framework of Urdu topic modeling using latent dirichlet allocation (LDA). 117–123. 18 indexed citations
16.
Ali, Mubashir, et al.. (2017). Sentiment Analysis Using Deep Learning Techniques: A Review. International Journal of Advanced Computer Science and Applications. 8(6). 216 indexed citations
17.
Qamar, Usman, et al.. (2017). Semantic analysis of social media and associated psychotic behavior. 1621–1630. 5 indexed citations
18.
Chaudhry, Naveed Iqbal, et al.. (2016). Impact of Market Orientation on the Performance of Private Universities in Pakistan. 44(44). 21. 2 indexed citations
19.
Ali, Mubashir, et al.. (2016). Framework for Urdu News Headlines Classification. SHILAP Revista de lepidopterología. 10(1). 17–21. 20 indexed citations
20.
Hussain, Ayyaz, et al.. (2015). Random Value Impulse Noise Removal Based on Most Similar Neighbors. 329–333. 2 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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