Ahmad Ali

1.0k total citations · 3 hit papers
11 papers, 753 citations indexed

About

Ahmad Ali is a scholar working on Building and Construction, Transportation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ahmad Ali has authored 11 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Building and Construction, 5 papers in Transportation and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ahmad Ali's work include Traffic Prediction and Management Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Traffic control and management (3 papers). Ahmad Ali is often cited by papers focused on Traffic Prediction and Management Techniques (6 papers), Human Mobility and Location-Based Analysis (4 papers) and Traffic control and management (3 papers). Ahmad Ali collaborates with scholars based in China, Pakistan and Jordan. Ahmad Ali's co-authors include Yanmin Zhu, Muhammad Zakarya, Jiadi Yu, Qiuxia Chen, Haibin Cai, Muhammad Abdel Haleem, Fazlullah Khan, Ryan Alturki, Mohammad Dahman Alshehri and Osama Harfoushi and has published in prestigious journals such as IEEE Access, Information Sciences and Neural Networks.

In The Last Decade

Ahmad Ali

10 papers receiving 735 citations

Hit Papers

Exploiting dynamic spatio-temporal graph convolutional ne... 2021 2026 2022 2024 2021 2021 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmad Ali China 8 259 230 190 177 150 11 753
Yanmin Zhu China 10 316 1.2× 225 1.0× 244 1.3× 162 0.9× 168 1.1× 16 812
Nan Han China 16 142 0.5× 163 0.7× 198 1.0× 127 0.7× 81 0.5× 41 792
Su Yang China 15 141 0.5× 212 0.9× 179 0.9× 229 1.3× 69 0.5× 67 676
Sin G. Teo Singapore 10 224 0.9× 245 1.1× 165 0.9× 80 0.5× 116 0.8× 27 638
Vincent Havyarimana China 18 216 0.8× 200 0.9× 182 1.0× 145 0.8× 97 0.6× 37 920
Nasser Mozayani Iran 12 203 0.8× 172 0.7× 148 0.8× 183 1.0× 312 2.1× 87 810
Jilin Hu Denmark 15 253 1.0× 187 0.8× 221 1.2× 130 0.7× 60 0.4× 39 744
Xiucheng Li China 11 476 1.8× 258 1.1× 396 2.1× 125 0.7× 152 1.0× 27 1.1k
Yilong Ren China 16 316 1.2× 155 0.7× 216 1.1× 84 0.5× 271 1.8× 85 831
Ken Cai China 15 131 0.5× 150 0.7× 90 0.5× 160 0.9× 106 0.7× 51 796

Countries citing papers authored by Ahmad Ali

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmad Ali

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

All Works

11 of 11 papers shown
2.
Harfoushi, Osama, et al.. (2023). Improved Graph Convolutional Network with Enriched Graph Topology Representation for Skeleton-Based Action Recognition. Electronics. 12(4). 879–879. 15 indexed citations
3.
Ali, Ahmad, et al.. (2023). Recognition and Classification of Handwritten Urdu Numerals Using Deep Learning Techniques. Applied Sciences. 13(3). 1624–1624. 7 indexed citations
4.
Ahmed, Noor A., Rozina Rozina, Ahmad Ali, & Abdul Raziq. (2023). Images denoising for COVID-19 chest X-ray based on multi-scale parallel convolutional neural network. Multimedia Systems. 29(6). 3877–3890. 7 indexed citations
5.
Ali, Ahmad, Fazlullah Khan, Muhammad Zakarya, et al.. (2021). Modeling Dynamic Spatio-Temporal Correlations for Urban Traffic Flows Prediction. IEEE Access. 9. 26502–26511. 36 indexed citations
6.
Ali, Ahmad, Yanmin Zhu, & Muhammad Zakarya. (2021). Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction. Neural Networks. 145. 233–247. 258 indexed citations breakdown →
7.
Ali, Ahmad, Yanmin Zhu, & Muhammad Zakarya. (2021). A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimedia Tools and Applications. 80(20). 31401–31433. 162 indexed citations breakdown →
8.
Ali, Ahmad, Yanmin Zhu, & Muhammad Zakarya. (2021). Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks. Information Sciences. 577. 852–870. 178 indexed citations breakdown →
9.
Ali, Ahmad, Yanmin Zhu, Qiuxia Chen, Jiadi Yu, & Haibin Cai. (2019). Leveraging Spatio-Temporal Patterns for Predicting Citywide Traffic Crowd Flows Using Deep Hybrid Neural Networks. 125–132. 82 indexed citations
10.
Yin, Jun, et al.. (2018). Edge network model based on double dimension. 341–346. 2 indexed citations
11.
Ali, Riaz, Yao Shen, Xiangwei Huang, Jingyu Zhang, & Ahmad Ali. (2017). VMR: Virtual Machine Replacement Algorithm for QoS and Energy-Awareness in Cloud Data Centers. 230–233. 6 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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