Zahid Ullah

1.2k total citations
69 papers, 771 citations indexed

About

Zahid Ullah is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Zahid Ullah has authored 69 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 15 papers in Artificial Intelligence and 14 papers in Management Information Systems. Recurrent topics in Zahid Ullah's work include Data Mining Algorithms and Applications (8 papers), Customer churn and segmentation (7 papers) and Big Data and Business Intelligence (6 papers). Zahid Ullah is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Customer churn and segmentation (7 papers) and Big Data and Business Intelligence (6 papers). Zahid Ullah collaborates with scholars based in Saudi Arabia, Pakistan and China. Zahid Ullah's co-authors include Mona Jamjoom, Farrukh Saleem, Abdullah S. Al‐Mudimigh, Bahjat Fakieh, Abdulrahman Altalhi, Amel Ksibi, Muzammil Khan, Shurong Wang, Wasif Farooq and Dai‐Viet N. Vo and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Scientific Reports.

In The Last Decade

Zahid Ullah

58 papers receiving 729 citations

Peers

Zahid Ullah
Fahad Alturise Saudi Arabia
Niklas Kühl Germany
Vinod Kumar Shukla United Arab Emirates
Quang Hung Vietnam
Muhammad Zarlis Indonesia
Edy Budiman Indonesia
Zahid Ullah
Citations per year, relative to Zahid Ullah Zahid Ullah (= 1×) peers Raza Hasan

Countries citing papers authored by Zahid Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Zahid Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahid Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Zahid Ullah. A scholar is included among the top collaborators of Zahid Ullah 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 Zahid Ullah. Zahid Ullah 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
2.
Hussain, Nasir, et al.. (2025). Quantum-aware secure blockchain intrusion detection system for industrial IoT networks. Scientific Reports. 16(1). 2265–2265.
4.
Khadidos, Alaa O., Farrukh Saleem, Shitharth Selvarajan, Zahid Ullah, & Adil O. Khadidos. (2024). Ensemble machine learning framework for predicting maternal health risk during pregnancy. Scientific Reports. 14(1). 21483–21483. 7 indexed citations
5.
Ali, Yousaf, et al.. (2024). Pakistan’s circular bio-economy: potential, opportunities and sustainable development. Environment Development and Sustainability. 27(12). 30839–30865. 2 indexed citations
6.
Munir, Kashif, et al.. (2024). A novel meta learning based stacked approach for diagnosis of thyroid syndrome. PLoS ONE. 19(11). e0312313–e0312313. 4 indexed citations
7.
Adil, Muhammad, Yinjun Zhang, Mona Jamjoom, & Zahid Ullah. (2024). OptDevNet: A Optimized Deep Event-Based Network Framework for Credit Card Fraud Detection. IEEE Access. 12. 132421–132433. 4 indexed citations
8.
Siddiqui, Shahbaz, et al.. (2024). Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech. PeerJ Computer Science. 10. e2280–e2280. 6 indexed citations
9.
10.
Ullah, Zahid, et al.. (2023). EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images. Agriculture. 13(3). 737–737. 34 indexed citations
11.
Ullah, Zahid, et al.. (2023). Intelligent Framework for Early Detection of Severe Pediatric Diseases from Mild Symptoms. Diagnostics. 13(20). 3204–3204. 1 indexed citations
12.
Ullah, Zahid, Muzammil Khan, Salman Raza Naqvi, et al.. (2021). A comparative study of machine learning methods for bio-oil yield prediction – A genetic algorithm-based features selection. Bioresource Technology. 335. 125292–125292. 127 indexed citations
13.
Ullah, Zahid, Farrukh Saleem, Mona Jamjoom, & Bahjat Fakieh. (2021). Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study. Journal of Medical Internet Research. 23(6). e28856–e28856. 26 indexed citations
14.
Ullah, Zahid, et al.. (2019). An Efficient Technique for Optimality Measurement of Approximation Algorithms. International Journal of Modern Education and Computer Science. 11(11). 13–21. 2 indexed citations
15.
Ullah, Zahid, et al.. (2018). High incidence of malaria along the Pak-Afghan bordering area.. PubMed. 68(1). 42–45. 5 indexed citations
16.
Ullah, Zahid, et al.. (2016). Evaluation of five discriminating indexes to distinguish Beta-Thalassemia Trait from Iron Deficiency Anaemia.. PubMed. 66(12). 1627–1631. 12 indexed citations
17.
Ullah, Zahid, et al.. (2016). Critical Analysis of Data Mining Techniques on Medical Data. International Journal of Modern Education and Computer Science. 8(2). 42–48. 9 indexed citations
18.
Saleem, Farrukh, et al.. (2015). BUILDING FRAMEWORK FOR ICT INVESTMENTS EVALUATION: VALUE ON INVESTMENT PERSPECTIVE. ARPN Journal of Engineering and Applied Sciences. 10(3). 1074–1079. 5 indexed citations
19.
Al‐Mudimigh, Abdullah S., Farrukh Saleem, & Zahid Ullah. (2009). The effects of data mining in ERP-CRM model: a case study of MADAR. WSEAS Transactions on Computers archive. 8(5). 831–843. 13 indexed citations
20.
Al‐Mudimigh, Abdullah S., Zahid Ullah, & Farrukh Saleem. (2009). Data mining strategies and techniques for CRM systems. 1–5. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026