Abdullah Khan

1.8k total citations · 1 hit paper
82 papers, 962 citations indexed

About

Abdullah Khan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geophysics. According to data from OpenAlex, Abdullah Khan has authored 82 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Geophysics. Recurrent topics in Abdullah Khan's work include Metaheuristic Optimization Algorithms Research (12 papers), Neural Networks and Applications (11 papers) and Geological and Geochemical Analysis (10 papers). Abdullah Khan is often cited by papers focused on Metaheuristic Optimization Algorithms Research (12 papers), Neural Networks and Applications (11 papers) and Geological and Geochemical Analysis (10 papers). Abdullah Khan collaborates with scholars based in Pakistan, Malaysia and Saudi Arabia. Abdullah Khan's co-authors include Nazri Mohd Nawi, Muhammad Zubair Rehman, Haruna Chiroma, Asfandyar Khan, Javed Iqbal Bangash, Tutut Herawan, Muhammad Imran, Muhammad Asim, S. M. Casshyap and Abdulsalam Ya’u Gital and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Abdullah Khan

77 papers receiving 915 citations

Hit Papers

Automated Brain Tumor Segmentation and Classification in ... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Khan Pakistan 18 298 171 163 118 101 82 962
Wenbo Zheng China 23 383 1.3× 472 2.8× 31 0.2× 257 2.2× 43 0.4× 111 1.6k
Jianyu Miao China 12 391 1.3× 269 1.6× 42 0.3× 21 0.2× 45 0.4× 41 841
Lingyang Chu Canada 15 723 2.4× 209 1.2× 19 0.1× 21 0.2× 106 1.0× 46 1.4k
Manish Dixit India 18 147 0.5× 244 1.4× 478 2.9× 8 0.1× 42 0.4× 83 1.0k
Zhibin Pan China 23 418 1.4× 800 4.7× 180 1.1× 8 0.1× 64 0.6× 97 1.6k
Hemraj Saini India 15 152 0.5× 94 0.5× 71 0.4× 13 0.1× 111 1.1× 91 843
Abdelmounaam Rezgui United States 16 266 0.9× 74 0.4× 29 0.2× 37 0.3× 67 0.7× 69 902
Xiaodong Fu China 20 188 0.6× 126 0.7× 62 0.4× 24 0.2× 193 1.9× 157 1.4k
Teng Xu China 18 153 0.5× 54 0.3× 146 0.9× 65 0.6× 181 1.8× 75 1.1k
Xishuang Dong United States 12 353 1.2× 96 0.6× 214 1.3× 17 0.1× 164 1.6× 44 819

Countries citing papers authored by Abdullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Khan. A scholar is included among the top collaborators of Abdullah Khan 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 Abdullah Khan. Abdullah Khan 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.
Khan, Abdullah, Shahid Rahman, Abdu Salam, et al.. (2025). An improved hybrid image steganography method using AES algorithm. Scientific Reports. 15(1). 44515–44515.
3.
Nadeem, Muhammad, et al.. (2025). Shifting US location patterns in leukaemia mortality: retrospective analysis. BMJ Supportive & Palliative Care. spcare–2025.
4.
Alhwaiti, Yousef, Ibrahim Alrashdi, Irshad Ahmad, & Abdullah Khan. (2024). A computational deep learning approach for establishing long-term declarative episodic memory through one-shot learning. Computers in Human Behavior. 156. 108213–108213. 4 indexed citations
5.
Din, Fakhrud, et al.. (2024). MULTI-DISEASE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING MODELS. 1(12). 301–312. 1 indexed citations
6.
Lashari, Saima Anwar, et al.. (2024). Comparative Evaluation of Machine Learning Models for Mobile Phone Price Prediction: Assessing Accuracy, Robustness, and Generalization Performance. SHILAP Revista de lepidopterología. 3(3). 147–163. 1 indexed citations
7.
Khan, Fakhri Alam, Abdullah Khan, Muhammad Imran, Awais Ahmad, & Gwanggil Jeon. (2024). Advancements in deep learning for Alzheimer's disease diagnosis: A comprehensive exploration and critical analysis of neuroimaging approaches. Expert Systems. 42(2). 2 indexed citations
8.
Khan, Faisal, et al.. (2024). Hybrid Crow Search and RBFNN: A Novel Approach to Medical Data Classification. SHILAP Revista de lepidopterología. 3(1). 252–264. 3 indexed citations
9.
Khan, Abdullah, et al.. (2024). A Critical Review of IoT-Based Structural Health Monitoring for Dams. IEEE Internet of Things Journal. 12(2). 1368–1379. 5 indexed citations
10.
Khan, Abdullah. (2023). Transforming Healthcare through AI: Unleashing the Power of Personalized Medicine. 2(1). 67–77. 7 indexed citations
11.
Khan, Abdullah, et al.. (2023). A Hybrid CNN-LSTM Random Forest Model for Dysgraphia Classification from Hand-Written Characters with Uniform/Normal Distribution. Applied Sciences. 13(7). 4275–4275. 11 indexed citations
12.
Khan, Abdullah, et al.. (2022). A computational classification method of breast cancer images using the VGGNet model. Frontiers in Computational Neuroscience. 16. 1001803–1001803. 8 indexed citations
13.
Rehman, Muhammad Zubair, Abdullah Khan, Rozaida Ghazali, Muhammad Aamir, & Nazri Mohd Nawi. (2021). A new Multi Sine-Cosine algorithm for unconstrained optimization problems. PLoS ONE. 16(8). e0255269–e0255269. 7 indexed citations
14.
Mashwani, Wali Khan, et al.. (2020). Hybrid differential evolutionary strawberry algorithm for real-parameter optimization problems. Communication in Statistics- Theory and Methods. 50(7). 1685–1698. 6 indexed citations
15.
Prakoonwit, Simant, et al.. (2018). Enhanced CRISP-DM model for SME coach operator. 4(6). 1 indexed citations
16.
Chiroma, Haruna, Sameem Abdul Kareem, Abdullah Khan, et al.. (2015). Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm. PLoS ONE. 10(8). e0136140–e0136140. 39 indexed citations
17.
Nawi, Nazri Mohd, Abdullah Khan, & Muhammad Zubair Rehman. (2013). CSLM: Levenberg Marquardt based Back Propagation Algorithm Optimized with Cuckoo Search. SHILAP Revista de lepidopterología. 7(2). 103–116. 7 indexed citations
18.
Jahan, Sarwat, et al.. (2011). Effect of obestatin on morphometry of testes and testosterone secretion in male rats. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(39). 7717–7722. 5 indexed citations
19.
Raza, Mohammad, S. M. Casshyap, & Abdullah Khan. (2002). Geochemistry of Mesoproterozoic Lower Vindhyan Shales from Chittaurgarh, Southeastern Rajasthan and its Bearing on Source Rock Composition, Palaeoweathering Conditions and Tectono-sedimentary Environments. Journal of the Geological Society of India. 60(5). 505–518. 20 indexed citations
20.
Casshyap, S. M., et al.. (2001). Barrier Inlet and Associated Facies of Shore Zone: An Example from Khardeola Formation of Lower Vindhyan Sequence in Chittaurgarh, Rajasthan. Journal of Geological Society of India. 58(2). 97–111. 5 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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