Ali Tufail

1.3k total citations · 2 hit papers
54 papers, 708 citations indexed

About

Ali Tufail is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ali Tufail has authored 54 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Ali Tufail's work include Smart Grid Security and Resilience (8 papers), IoT and Edge/Fog Computing (7 papers) and Energy Harvesting in Wireless Networks (6 papers). Ali Tufail is often cited by papers focused on Smart Grid Security and Resilience (8 papers), IoT and Edge/Fog Computing (7 papers) and Energy Harvesting in Wireless Networks (6 papers). Ali Tufail collaborates with scholars based in Brunei, Saudi Arabia and South Korea. Ali Tufail's co-authors include Abdallah Namoun, Rosyzie Anna Awg Haji Mohd Apong, Liyanage C. De Silva, Wasswa Shafik, Adil Khan, Teemu H. Laine, Asad Masood Khattak, Ki‐Hyung Kim, Tahir Alyas and Nadia Tabassum and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Ali Tufail

50 papers receiving 681 citations

Hit Papers

align trajectories

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.

A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends

2023 82 citations Wasswa Shafik, Ali Tufail et al. IEEE Access profile →
Using transfer learning-based plant disease classification and detection for sustainable agriculture

2024 44 citations Wasswa Shafik, Ali Tufail et al. BMC Plant Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Tufail Brunei	14	189	153	142	116	108	54	708
Sarfraz Nawaz Brohi Malaysia	13	183 1.0×	357 2.3×	104 0.7×	55 0.5×	116 1.1×	34	891
Vandana Sharma India	15	101 0.5×	109 0.7×	78 0.5×	57 0.5×	143 1.3×	121	773
Srimal Jayawardena Australia	3	510 2.7×	101 0.7×	158 1.1×	260 2.2×	174 1.6×	8	901
Waleed Albattah Saudi Arabia	17	97 0.5×	308 2.0×	207 1.5×	112 1.0×	101 0.9×	55	902
Muhammad Islam Saudi Arabia	19	150 0.8×	68 0.4×	236 1.7×	214 1.8×	84 0.8×	62	898
Hsin‐Te Wu Taiwan	13	168 0.9×	92 0.6×	51 0.4×	111 1.0×	160 1.5×	55	583
Bibudhendu Pati India	17	432 2.3×	71 0.5×	109 0.8×	186 1.6×	182 1.7×	102	808
Óscar García Spain	17	238 1.3×	94 0.6×	182 1.3×	209 1.8×	128 1.2×	62	899
Ali Yavari Australia	15	277 1.5×	176 1.2×	86 0.6×	178 1.5×	211 2.0×	61	926
Ricardo S. Alonso Spain	16	338 1.8×	131 0.9×	142 1.0×	191 1.6×	196 1.8×	47	911

Countries citing papers authored by Ali Tufail

Since Specialization

Citations

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

Fields of papers citing papers by Ali Tufail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Tufail

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Tufail. A scholar is included among the top collaborators of Ali Tufail 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 Tufail. Ali Tufail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shafik, Wasswa, Ali Tufail, Liyanage C. De Silva, Rosyzie Anna Awg Haji Mohd Apong, & Ki‐Hyung Kim. (2025). Deep learning technique for plant disease classification and pest detection and model explainability elevating agricultural sustainability. BMC Plant Biology. 25(1). 1491–1491. 1 indexed citations

Shafik, Wasswa, Ali Tufail, Liyanage C. De Silva, & Rosyzie Anna Awg Haji Mohd Apong. (2025). A novel hybrid inception-xception convolutional neural network for efficient plant disease classification and detection. Scientific Reports. 15(1). 3936–3936. 13 indexed citations

Shafik, Wasswa, et al.. (2025). A comprehensive dataset of agarwood tree (Aquilaria Malaccensis) leaf images for disease analysis in Brunei Darussalam. Data in Brief. 63. 112227–112227.

Hussain, Saddam, et al.. (2025). Evaluation of Computationally Efficient Identity-Based Proxy Signatures. IEEE Open Journal of the Computer Society. 6. 846–861.

Tufail, Ali, et al.. (2025). Multi-Feature Hybrid Anomaly Detection in ICS: An Integration of ML, DL, and Statistical Techniques. 43–51.

Shafik, Wasswa, et al.. (2025). Intelligent Transportation Systems: A Critical Review of Integration of Cyber-Physical Systems (CPS) and Industry 4.0. Digital Communications and Networks. 12(1). 143–164. 2 indexed citations

Silva, Liyanage C. De, et al.. (2025). An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration. Scientific Reports. 15(1). 27579–27579. 1 indexed citations

Shafik, Wasswa, Ali Tufail, Liyanage C. De Silva, & Rosyzie Anna Awg Haji Mohd Apong. (2025). A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture. Scientific Reports. 15(1). 12195–12195. 8 indexed citations

Tufail, Ali, et al.. (2025). Survey of deep learning approaches for securing industrial control systems: A comparative analysis. SHILAP Revista de lepidopterología. 3. 100096–100096. 1 indexed citations

10.

Tufail, Ali, et al.. (2024). ICS Deployment Optimization with Time Delay Reduction and Energy-Efficiency in IWSNs. 1–6. 2 indexed citations

11.

Tufail, Ali, et al.. (2024). Scrutinizing Security in Industrial Control Systems: An Architectural Vulnerabilities and Communication Network Perspective. IEEE Access. 12. 67537–67573. 14 indexed citations

12.

Shafik, Wasswa, Ali Tufail, Liyanage C. De Silva, & Rosyzie Anna Awg Haji Mohd Apong. (2024). Using transfer learning-based plant disease classification and detection for sustainable agriculture. BMC Plant Biology. 24(1). 136–136. 44 indexed citations breakdown →

13.

Tufail, Ali, et al.. (2024). Innovating Patent Retrieval: A Comprehensive Review of Techniques, Trends, and Challenges in Prior Art Searches. Applied System Innovation. 7(5). 91–91. 7 indexed citations

14.

Aman, Azana Hafizah Mohd, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin, et al.. (2023). High-Speed Network DDoS Attack Detection: A Survey. Sensors. 23(15). 6850–6850. 13 indexed citations

15.

Namoun, Abdallah, et al.. (2023). Service Selection Using an Ensemble Meta-Learning Classifier for Students with Disabilities. Multimodal Technologies and Interaction. 7(5). 42–42. 5 indexed citations

16.

Tufail, Ali, et al.. (2023). A Comprehensive Study on Cyber Attacks in Communication Networks in Water Purification and Distribution Plants: Challenges, Vulnerabilities, and Future Prospects. Sensors. 23(18). 7999–7999. 10 indexed citations

17.

Tabassum, Nadia, et al.. (2023). Classification of Bugs in Cloud Computing Applications Using Machine Learning Techniques. Applied Sciences. 13(5). 2880–2880. 12 indexed citations

18.

Namoun, Abdallah, et al.. (2023). A Systematic Literature Review on Service Composition for People with Disabilities: Taxonomies, Solutions, and Open Research Challenges. Computational Intelligence and Neuroscience. 2023(1). 5934548–5934548. 4 indexed citations

19.

Namoun, Abdallah, et al.. (2022). A Two-Phase Machine Learning Framework for Context-Aware Service Selection to Empower People with Disabilities. Sensors. 22(14). 5142–5142. 12 indexed citations

20.

Namoun, Abdallah, et al.. (2021). A Comparative Analysis of Scalability Issues within Blockchain-based Solutions in the Internet of Things. International Journal of Advanced Computer Science and Applications. 12(9). 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.

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