Abdullah Gani

22.7k total citations · 15 hit papers
284 papers, 15.0k citations indexed

About

Abdullah Gani is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Abdullah Gani has authored 284 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Computer Networks and Communications, 104 papers in Information Systems and 80 papers in Artificial Intelligence. Recurrent topics in Abdullah Gani's work include IoT and Edge/Fog Computing (84 papers), Cloud Computing and Resource Management (56 papers) and Caching and Content Delivery (47 papers). Abdullah Gani is often cited by papers focused on IoT and Edge/Fog Computing (84 papers), Cloud Computing and Resource Management (56 papers) and Caching and Content Delivery (47 papers). Abdullah Gani collaborates with scholars based in Malaysia, Pakistan and Saudi Arabia. Abdullah Gani's co-authors include Ibrar Yaqoob, Mohamed Hashem, Ejaz Ahmed, Nor Badrul Anuar, Rajkumar Buyya, Muhammad Shiraz, Samee U. Khan, Salimah Mokhtar, Muhammad Imran and Saeid Abolfazli and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Abdullah Gani

274 papers receiving 14.2k citations

Hit Papers

The rise of “big data” on cloud computing: Review and ope... 2013 2026 2017 2021 2014 2016 2017 2013 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdullah Gani Malaysia 60 8.0k 5.4k 3.3k 3.2k 1.5k 284 15.0k
Li Da Xu United States 61 8.5k 1.1× 6.2k 1.1× 3.1k 0.9× 3.5k 1.1× 1.0k 0.7× 234 22.5k
Victor Chang United Kingdom 63 5.3k 0.7× 5.3k 1.0× 4.0k 1.2× 1.9k 0.6× 909 0.6× 465 15.3k
Samee U. Khan United States 62 8.4k 1.1× 7.5k 1.4× 2.8k 0.9× 2.5k 0.8× 663 0.4× 367 14.7k
Muhammad Imran Saudi Arabia 65 7.8k 1.0× 4.1k 0.8× 3.7k 1.1× 4.0k 1.3× 1.2k 0.8× 366 16.7k
Ibrar Yaqoob United Arab Emirates 47 5.2k 0.6× 4.5k 0.8× 1.9k 0.6× 2.0k 0.6× 654 0.4× 104 11.5k
Rajiv Ranjan Australia 60 9.8k 1.2× 8.6k 1.6× 2.9k 0.9× 1.5k 0.5× 891 0.6× 350 15.1k
Sudeep Tanwar India 66 5.6k 0.7× 6.5k 1.2× 3.1k 0.9× 3.7k 1.2× 721 0.5× 607 15.6k
Meikang Qiu United States 71 6.1k 0.8× 7.2k 1.3× 3.5k 1.1× 2.7k 0.9× 997 0.7× 383 14.0k
Quan Z. Sheng Australia 52 4.2k 0.5× 5.2k 1.0× 4.1k 1.2× 1.4k 0.5× 735 0.5× 601 12.4k
Laurence T. Yang Canada 79 11.2k 1.4× 6.1k 1.1× 6.6k 2.0× 5.2k 1.6× 1.7k 1.1× 888 23.7k

Countries citing papers authored by Abdullah Gani

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Gani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Gani

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Gani. A scholar is included among the top collaborators of Abdullah Gani 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 Gani. Abdullah Gani 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.
Qi, Han, et al.. (2024). Network Traffic Forecasting Model Based on Improved Fireworks Algorithm Optimized CNN-BiGRU. 11. 802–805. 1 indexed citations
2.
Hamid, Suraya, et al.. (2023). UTILIZATION OF MOBILE AUGMENTED REALITY IN A COURSE CONTENT: AN IMPACT STUDY. Malaysian Journal of Computer Science. 36(1). 79–98. 3 indexed citations
3.
Gong, Changqing, et al.. (2023). A Quantum Classifier Based on Tree Structure. 485–491.
4.
Khalil, Wajeeha, et al.. (2023). Risk Factors and Practices for the Development of Open Source Software From Developers’ Perspective. IEEE Access. 11. 63333–63350. 3 indexed citations
5.
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
6.
Gani, Abdullah, et al.. (2022). A Survey on Mobile Learning for Adult Learners: State-of-the-Art, Taxonomy, and Challenges. IEEE Access. 10. 83884–83897. 7 indexed citations
7.
Akram, Waseem, et al.. (2022). Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop. Agriculture. 12(6). 742–742. 29 indexed citations
8.
Haq, Irfan Ul, et al.. (2022). A Heterogeneous Ensemble Approach for Travel Time Prediction Using Hybridized Feature Spaces and Support Vector Regression. Sensors. 22(24). 9735–9735. 3 indexed citations
9.
Ahmed, Ghufran, et al.. (2021). An Approach towards IoT-Based Predictive Service for Early Detection of Diseases in Poultry Chickens. Sustainability. 13(23). 13396–13396. 40 indexed citations
10.
11.
Shah, Pir Masoom, Faizan Ullah, Abdullah Gani, et al.. (2021). Deep GRU-CNN Model for COVID-19 Detection From Chest X-Rays Data. IEEE Access. 10. 35094–35105. 49 indexed citations
12.
Hijazi, Mohd Hanafi Ahmad, et al.. (2021). A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction. Multimedia Tools and Applications. 80(21-23). 32725–32762. 22 indexed citations
13.
Islam, Saif ul, et al.. (2020). Towards Energy-Efficient Mobile Ad Optimization: An App Developer Perspective. Applied Sciences. 10(19). 6889–6889. 1 indexed citations
14.
Noor, Nurul Fazmidar Binti Mohd, et al.. (2020). Designing Mobile Training Content: Challenges and Open Issues. IEEE Access. 8. 122314–122331. 3 indexed citations
15.
Ahmed, Abdelmuttlib Ibrahim Abdalla, Abdullah Gani, Siti Hafizah Ab Hamid, et al.. (2019). Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges. IEEE Access. 7. 155472–155488. 20 indexed citations
16.
Marjani, Mohsen, Fariza Hanum Nasaruddin, Abdullah Gani, et al.. (2017). Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges. IEEE Access. 5. 5247–5261. 594 indexed citations breakdown →
17.
Nikolić, Vlastimir, Shahaboddin Shamshirband, Dalibor Petković, et al.. (2015). Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology. Energy. 80. 361–372. 34 indexed citations
18.
Khoshnevisan, Benyamin, Mohammad Ali Rajaeifar, Sean Clark, et al.. (2014). Evaluation of traditional and consolidated rice farms in Guilan Province, Iran, using life cycle assessment and fuzzy modeling. The Science of The Total Environment. 481. 242–251. 82 indexed citations
19.
Gani, Abdullah, et al.. (2011). Review of mobile short message service security issues and techniques towards the solution. Scientific Research and Essays. 6(6). 1147–1165. 25 indexed citations
20.
Lashkari, Arash Habibi, et al.. (2010). A new algorithm on Graphical User Authentication(GUA)based on multi-line grids. Scientific Research and Essays. 5(24). 3865–3875. 12 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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