Ahmad Ali
Impact in
- Transportation top 2%
- Transportation Planning and Optimization
- Human Mobility and Location-Based Analysis
- Building and Construction top 2%
- Traffic Prediction and Management Techniques
Papers in
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- Human Mobility and Location-Based Analysis 4
- Transportation Planning and Optimization 3
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- Traffic Prediction and Management Techniques 5
- Co-authors
- Yanmin Zhu (5 shared papers)Muhammad Zakarya (4 shared papers)Jiadi Yu (2 shared papers)Qiuxia Chen (1 shared paper)Haibin Cai (1 shared paper)Muhammad Abdel Haleem (1 shared paper)Ryan Alturki (1 shared paper)Fazlullah Khan (1 shared paper)
In The Last Decade
Ahmad Ali
11 papers receiving 788 citations
Ahmad Ali's Hit Papers
Peers
Comparison fields: 5 of 89
- Transportation 198
- Building and Construction 284
- Computer Vision and Pattern Recognition 181
- Artificial Intelligence 237
- Signal Processing 77
Countries citing papers authored by Ahmad Ali
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
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-authors
The 25 scholars most cited alongside Ahmad Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction Hit paper breakdown → | 2021 | 278 |
| 2 | Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks Hit paper breakdown → | 2021 | 184 |
| 3 | A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing Hit paper breakdown → | 2021 | 166 |
| 4 | 2019 | 83 | |
| 5 | 2021 | 38 | |
| 6 | 2016 | 16 | |
| 7 | 2023 | 15 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2018 | 3 |
About Ahmad Ali
Ahmad Ali is a scholar working on Transportation, Building and Construction, Computer Vision and Pattern Recognition, Computer Networks and Communications and Control and Systems Engineering, having authored 11 papers that have together received 805 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (5 papers), Human Mobility and Location-Based Analysis (4 papers), IoT and Edge/Fog Computing (3 papers), Transportation Planning and Optimization (3 papers), Traffic control and management (3 papers), Cloud Computing and Resource Management (2 papers), Energy Efficient Wireless Sensor Networks (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Transportation (198 citations), Building and Construction (284 citations), Computer Vision and Pattern Recognition (181 citations), Artificial Intelligence (237 citations) and Signal Processing (77 citations). Ahmad Ali has collaborated with scholars based in China, Pakistan and Jordan. Frequent co-authors include Yanmin Zhu, Muhammad Zakarya, Jiadi Yu, Qiuxia Chen, Haibin Cai, Muhammad Abdel Haleem, Ryan Alturki, Fazlullah Khan, Mohammad Dahman Alshehri and Li Lü. Their work appears in journals such as Multimedia Systems, Information Sciences, IEEE Access, Electronics and Applied Sciences.
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.