Ali Raza

1.7k total citations
70 papers, 870 citations indexed

About

Ali Raza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Information Management. According to data from OpenAlex, Ali Raza has authored 70 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 9 papers in Health Information Management. Recurrent topics in Ali Raza's work include Artificial Intelligence in Healthcare (9 papers), Smart Agriculture and AI (8 papers) and Network Security and Intrusion Detection (7 papers). Ali Raza is often cited by papers focused on Artificial Intelligence in Healthcare (9 papers), Smart Agriculture and AI (8 papers) and Network Security and Intrusion Detection (7 papers). Ali Raza collaborates with scholars based in Pakistan, Saudi Arabia and South Korea. Ali Raza's co-authors include Kashif Munir, Mubarak Almutairi, Furqan Rustam, Imran Ashraf, Hafeez Ur Rehman Siddiqui, Laith Abualigah, Nagwan Abdel Samee, Heming Jia, Isabel de la Torre Díez and Raed Abu Zitar and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ali Raza

63 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Raza Pakistan 18 265 156 121 112 99 70 870
Hrudaya Kumar Tripathy India 19 222 0.8× 213 1.4× 100 0.8× 46 0.4× 97 1.0× 69 888
Kashif Munir Pakistan 14 199 0.8× 102 0.7× 105 0.9× 53 0.5× 159 1.6× 43 672
Sushruta Mishra India 21 288 1.1× 155 1.0× 140 1.2× 36 0.3× 149 1.5× 87 1.1k
Sunday Adeola Ajagbe Nigeria 14 199 0.8× 116 0.7× 163 1.3× 99 0.9× 88 0.9× 78 633
P. Prabu India 17 159 0.6× 173 1.1× 123 1.0× 66 0.6× 101 1.0× 46 686
Sachin Ahuja India 13 411 1.6× 103 0.7× 182 1.5× 81 0.7× 144 1.5× 98 1.0k
K. Vijayakumar India 18 342 1.3× 106 0.7× 244 2.0× 70 0.6× 194 2.0× 73 980
Ramgopal Kashyap India 19 230 0.9× 128 0.8× 165 1.4× 46 0.4× 136 1.4× 52 987
Muhammad Imran Sharif Pakistan 15 308 1.2× 364 2.3× 32 0.3× 76 0.7× 79 0.8× 47 1.0k
Salabat Khan China 19 288 1.1× 227 1.5× 186 1.5× 51 0.5× 137 1.4× 60 946

Countries citing papers authored by Ali Raza

Since Specialization
Citations

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

Fields of papers citing papers by Ali Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Raza. A scholar is included among the top collaborators of Ali Raza 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 Ali Raza. Ali Raza 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.
Tanveer, Muhammad, et al.. (2025). Novel Transfer Learning Approach for Detecting Infected and Healthy Maize Crop Using Leaf Images. Food Science & Nutrition. 13(1). e4655–e4655. 4 indexed citations
2.
Razaq, Abdul, Shabana Ramzan, Ali Raza, et al.. (2025). Novel dual-input stream-based hybrid approach for wheat leaf disease classification using edge-aware features. Scientific Reports. 15(1). 42091–42091.
3.
Khalid, Sidra, Muhammad Munwar Iqbal, Ali Raza, et al.. (2025). Tab transformer with meta-ensemble learning approaches for enhanced diabetes prediction. PeerJ Computer Science. 11. e3206–e3206.
4.
Raza, Ali, et al.. (2024). BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews. IEEE Access. 12. 189330–189343. 3 indexed citations
5.
Abualigah, Laith, Abiodun M. Ikotun, Mohammad Shehab, et al.. (2024). A review of krill herd algorithm: optimization and its applications. Elsevier eBooks. 231–239. 5 indexed citations
6.
Abualigah, Laith, et al.. (2024). A review of Henry gas solubility optimization algorithm: a robust optimizer and applications. Elsevier eBooks. 177–192. 8 indexed citations
7.
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
8.
Raza, Ali, et al.. (2024). Segmented X-ray image data for diagnosing dental periapical diseases using deep learning. Data in Brief. 54. 110539–110539. 6 indexed citations
9.
Raza, Ali, et al.. (2024). Enhanced interpretable thyroid disease diagnosis by leveraging synthetic oversampling and machine learning models. BMC Medical Informatics and Decision Making. 24(1). 364–364. 9 indexed citations
10.
Raza, Ali, et al.. (2024). A Novel Deep Learning Approach for Forecasting Myocardial Infarction Occurrences with Time Series Patient Data. Journal of Medical Systems. 48(1). 53–53. 8 indexed citations
11.
Munir, Kashif, et al.. (2024). Novel artificial intelligence assisted Landsat-8 imagery analysis for mango orchard detection and area mapping. PLoS ONE. 19(6). e0304450–e0304450. 3 indexed citations
12.
Siddiqui, Hafeez Ur Rehman, et al.. (2023). Footwear-integrated force sensing resistor sensors: A machine learning approach for categorizing lower limb disorders. Engineering Applications of Artificial Intelligence. 127. 107205–107205. 4 indexed citations
13.
Yağın, Fatma Hilal, Abedalrhman Alkhateeb, Ali Raza, et al.. (2023). An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive Metabolites. Diagnostics. 13(23). 3495–3495. 17 indexed citations
14.
Raza, Ali, et al.. (2023). A novel ensemble method for enhancing Internet of Things device security against botnet attacks. Decision Analytics Journal. 8. 100307–100307. 28 indexed citations
15.
Raza, Ali, et al.. (2023). Identification of Pest Attack on Corn Crops Using Machine Learning Techniques. SHILAP Revista de lepidopterología. 183–183. 8 indexed citations
16.
Raza, Ali, et al.. (2023). A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images. Decision Analytics Journal. 9. 100352–100352. 17 indexed citations
17.
Siddiqui, Hafeez Ur Rehman, Ali Raza, Furqan Rustam, et al.. (2023). An Approach to Detect Chronic Obstructive Pulmonary Disease Using UWB Radar-Based Temporal and Spectral Features. Diagnostics. 13(6). 1096–1096. 11 indexed citations
18.
Raza, Ali, et al.. (2023). A Novel Methodology for Human Kinematics Motion Detection Based on Smartphones Sensor Data Using Artificial Intelligence. SHILAP Revista de lepidopterología. 11(2). 55–55. 11 indexed citations
19.
Imran, Muhammad, et al.. (2023). A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems. Computers & Security. 134. 103445–103445. 29 indexed citations
20.
Raza, Ali, Furqan Rustam, Hafeez Ur Rehman Siddiqui, et al.. (2022). Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach. Genes. 14(1). 71–71. 19 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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