Ahmed El‐Shafie

21.9k total citations · 7 hit papers
459 papers, 16.1k citations indexed

About

Ahmed El‐Shafie is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Ahmed El‐Shafie has authored 459 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 243 papers in Environmental Engineering, 188 papers in Water Science and Technology and 111 papers in Global and Planetary Change. Recurrent topics in Ahmed El‐Shafie's work include Hydrological Forecasting Using AI (207 papers), Hydrology and Watershed Management Studies (113 papers) and Water resources management and optimization (78 papers). Ahmed El‐Shafie is often cited by papers focused on Hydrological Forecasting Using AI (207 papers), Hydrology and Watershed Management Studies (113 papers) and Water resources management and optimization (78 papers). Ahmed El‐Shafie collaborates with scholars based in Malaysia, United Arab Emirates and Iran. Ahmed El‐Shafie's co-authors include Ali Najah Ahmed, Haitham Abdulmohsin Afan, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Mohammad Ehteram, Yuk Feng Huang, Aboelmagd Noureldin, Othman Jaafar, Chow Ming Fai, Özgür Kişi and Mohammed Falah Allawi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.

In The Last Decade

Ahmed El‐Shafie

437 papers receiving 15.6k citations

Hit Papers

5 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.

Machine learning methods for better water quality prediction

2019 461 citations Ali Najah Ahmed, Faridah Othman et al. Journal of Hydrology profile →
Artificial intelligence based models for stream-flow forecasting: 2000–2015

2015 444 citations Ahmed El‐Shafie, Haitham Abdulmohsin Afan et al. Journal of Hydrology profile →
Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

2021 370 citations Ali Najah Ahmed, Chow Ming Fai et al. profile →
Review on heavy metal adsorption processes by carbon nanotubes

2019 344 citations Sai Hin Lai, Ahmed El‐Shafie et al. profile →
A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

2021 185 citations Yuk Feng Huang, Ali Najah Ahmed et al. profile →
A review of hybrid deep learning applications for streamflow forecasting

2023 97 citations Kin‐Wang Ng, Yuk Feng Huang et al. Journal of Hydrology profile →
Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques

2025 28 citations Mohamed Abdellatief, Leong Sing Wong et al. Results in Engineering profile →

Peers

Countries citing papers authored by Ahmed El‐Shafie

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed El‐Shafie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed El‐Shafie. 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 Ahmed El‐Shafie. The network helps show where Ahmed El‐Shafie may publish in the future.

Co-authorship network of co-authors of Ahmed El‐Shafie

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques breakdown → 2025 ·Results in Engineering ·Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, (unknown), Zainah Ibrahim, (unknown), Kim Hung Mo, Ahmed El‐Shafie	28
2	Evaluating enhanced predictive modeling of foam concrete compressive strength using artificial intelligence algorithms 2024 ·Materials Today Communications ·Mohamed Abdellatief, Leong Sing Wong, (unknown), Kim Hung Mo, Ali Najah Ahmed, Ahmed El‐Shafie	37
3	Hydro-chemical influence on soil-water characteristic behavior of laterite-bentonite mixture 2024 ·Results in Engineering ·Ahmed El‐Shafie, Ke-neng Zhang, (unknown), (unknown)	1
4	Physical and mechanical properties of pre-treated plant-based lightweight aggregate concretes: A review 2024 ·Construction and Building Materials ·(unknown), Huzaifa Hashim, H. Süleyman Gökçe, Pouria Ayough, Fuat Köksal, Ahmed El‐Shafie, (unknown)	4
5	The benefits and perspectives of the palm oil industry in Malaysia 2024 ·Environment Development and Sustainability ·(unknown), Nora Yusma Mohamed Yusoff, Ali Najah Ahmed, Yuk Feng Huang, (unknown), Ahmed El‐Shafie	3
6	Optimization of reservoir operation by sine cosine algorithm: A case of study in Algeria 2024 ·Sustainable Computing Informatics and Systems ·(unknown), (unknown), (unknown), Özgür Kişi, (unknown), Ahmed El‐Shafie	4
7	Advanced machine learning algorithm to predict the implication of climate change on groundwater level for protecting aquifer from depletion 2024 ·Groundwater for Sustainable Development ·(unknown), Sarmad Dashti Latif, (unknown), Ali Najah Ahmed, Yuk Feng Huang, Ahmed El‐Shafie	7
8	Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater 2024 ·International Journal of Biological Macromolecules ·Mohammad Sherjeel Javed Khan, Lariyah Mohd Sidek, Pavitra Kumar, (unknown), Hidayah Basri, Mohd Hafiz Zawawi, Ahmed El‐Shafie, Ali Najah Ahmed	9
9	A review of hybrid deep learning applications for streamflow forecasting breakdown → 2023 ·Journal of Hydrology ·Kin‐Wang Ng, Yuk Feng Huang, Chai Hoon Koo, Kai Lun Chong, Ahmed El‐Shafie, Ali Najah Ahmed	97
10	Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study 2023 ·Heliyon ·Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, Mohsen Sherif, Ahmed El‐Shafie	28
11	Integrated GIS and multivariate statistical approach for spatial and temporal variability analysis for lake water quality index 2023 ·Cogent Engineering ·(unknown), Ali Najah Ahmed, Chow Ming Fai, Marlinda Abdul Malek, Pavitra Kumar, Yuk Feng Huang, Mohsen Sherif, Ahmed El‐Shafie	10
12	Development of Crack Width Prediction Models for RC Beam-Column Joint Subjected to Lateral Cyclic Loading Using Machine Learning 2021 ·Applied Sciences ·(unknown), Chee Ghuan Tan, Zainah Ibrahim, Fadzli Mohamed Nazri, Muhammad M. Sherif, Ahmed El‐Shafie	6
13	Bridge Failure Prevention: An Overview of Self-Protected Pier as Flow Altering Countermeasures for Scour Protection 2021 ·SHILAP Revista de lepidopterología ·(unknown), Wan Hanna Melini Wan Mohtar, (unknown), Ahmed El‐Shafie, Teh Sabariah Binti Abd Manan	6
14	Pipeline Scour Rates Prediction-Based Model Utilizing a Multilayer Perceptron-Colliding Body Algorithm 2020 ·Water ·Mohammad Ehteram, Ali Najah Ahmed, Lloyd Ling, Chow Ming Fai, Sarmad Dashti Latif, Haitham Abdulmohsin Afan, Fatemeh Barzegari Banadkooki, Ahmed El‐Shafie	39
15	Sediment Incipient Motion in Sewer with a Bed Deposit 2020 ·Teknik Dergi ·Wan Hanna Melini Wan Mohtar, (unknown), Aminuddin Ab. Ghani, Mir Jafar Sadegh Safari, Aizat Mohd Taib, Haitham Abdulmohsin Afan, Ahmed El‐Shafie	3
16	Enhancing the Prediction Accuracy of Data-Driven Models for Monthly Streamflow in Urmia Lake Basin Based upon the Autoregressive Conditionally Heteroskedastic Time-Series Model 2020 ·Applied Sciences ·(unknown), Quoc Bao Pham, (unknown), Mohammad Rezaie-Balf, Chow Ming Fai, Ali Najah Ahmed, (unknown), Dung Duc Tran, Pham Thi Thao Nhi, Đào Nguyên Khôi, Ahmed El‐Shafie	22
17	Water Quality Prediction Model Based Support Vector Machine Model for Ungauged River Catchment under Dual Scenarios 2019 ·Water ·(unknown), Ali Najah Ahmed, Faridah Othman, Rusul Khaleel Ibrahim, Haitham Abdulmohsin Afan, Ahmed El‐Shafie, Chow Ming Fai, Md. Shabbir Hossain, Mohammad Ehteram	113
18	Integrated support vector regression and an improved particle swarm optimization-based model for solar radiation prediction 2019 ·PLoS ONE ·(unknown), Sayed‐Farhad Mousavi, Hojat Karami, Saeed Farzin, Mohammad Ehteram, Md. Shabbir Hossain, Chow Ming Fai, Huzaifa Hashim, Vijay P. Singh, Faizah Che Ros, Ali Najah Ahmed, Haitham Abdulmohsin Afan, Sai Hin Lai, Ahmed El‐Shafie	49
19	The state-of-the-art system dynamics application in integrated water resources modeling 2018 ·Journal of Environmental Management ·(unknown), Sai Hin Lai, (unknown), Shaliza Ibrahim, (unknown), Ahmed El‐Shafie	113
20	BIOLOGICAL AERATED FILTERS (BAFs) FOR CARBON AND NITROGEN REMOVAL: A REVIEW 2012 ·SHILAP Revista de lepidopterología ·Ahmed El‐Shafie, (unknown), Fatihah Sujá, Biplob Kumar Pramanik	40

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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