Salah Hanini

1.5k total citations
92 papers, 1.1k citations indexed

About

Salah Hanini is a scholar working on Water Science and Technology, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Salah Hanini has authored 92 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 20 papers in Biomedical Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Salah Hanini's work include Computational Drug Discovery Methods (14 papers), Solar Radiation and Photovoltaics (11 papers) and Membrane Separation Technologies (10 papers). Salah Hanini is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Solar Radiation and Photovoltaics (11 papers) and Membrane Separation Technologies (10 papers). Salah Hanini collaborates with scholars based in Algeria, France and Malaysia. Salah Hanini's co-authors include Latifa Khaouane, Othmane Benkortbi, Mabrouk Hamadache, Cherif Si‐Moussa, Abdeltif Amrane, Karen Scrivener, Amor Guidoum, Mounir Bouhedda, Mohamed Najib Bouaziz and Samia Rebouh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Construction and Building Materials.

In The Last Decade

Salah Hanini

90 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salah Hanini Algeria 21 228 225 166 164 99 92 1.1k
Hongtao Liu China 29 404 1.8× 277 1.2× 37 0.2× 188 1.1× 326 3.3× 144 2.9k
Salah Hanini Algeria 20 211 0.9× 158 0.7× 43 0.3× 214 1.3× 102 1.0× 72 1.2k
G. Roux France 20 266 1.2× 286 1.3× 26 0.2× 131 0.8× 70 0.7× 99 1.4k
Md. Humayun Kabir Bangladesh 24 260 1.1× 190 0.8× 379 2.3× 99 0.6× 268 2.7× 111 2.2k
Xuan Hu China 18 138 0.6× 60 0.3× 29 0.2× 93 0.6× 142 1.4× 86 1.2k
Marcio Schwaab Brazil 22 447 2.0× 240 1.1× 90 0.5× 353 2.2× 477 4.8× 54 1.7k
Shigeki Kobayashi Japan 21 148 0.6× 243 1.1× 36 0.2× 87 0.5× 211 2.1× 102 1.5k
J T Pettersen Sweden 5 180 0.8× 61 0.3× 52 0.3× 102 0.6× 108 1.1× 8 1.0k
Deniz Baş Türkiye 11 547 2.4× 222 1.0× 37 0.2× 251 1.5× 169 1.7× 19 2.3k

Countries citing papers authored by Salah Hanini

Since Specialization
Citations

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

Fields of papers citing papers by Salah Hanini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salah Hanini

This figure shows the co-authorship network connecting the top 25 collaborators of Salah Hanini. A scholar is included among the top collaborators of Salah Hanini 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 Salah Hanini. Salah Hanini 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.
Hanini, Salah, et al.. (2024). Parametric Analysis of Climate Factors for Monthly Weather Prediction in Ghardaïa District Using Machine Learning-Based Approach: ANN-MLPs. International Journal of Robotics and Control Systems. 5(1). 179–196. 1 indexed citations
2.
Khaouane, Latifa, et al.. (2024). Enhancing lung cancer prediction through crow search, artificial bee colony algorithms, and support vector machine. International Journal of Information Technology. 16(5). 2863–2873. 5 indexed citations
3.
Cheknane, Benamar, et al.. (2023). Synthesis and characterization of a novel hybrid film based on polyvinyl chloride/modified clays/photosensitizers: application to pollutants photo-degradation. Desalination and Water Treatment. 312. 187–197. 5 indexed citations
4.
Khaouane, Latifa, et al.. (2023). Development of QSPR-ANN models for the estimation of critical properties of pure hydrocarbons. Journal of Molecular Graphics and Modelling. 121. 108450–108450. 4 indexed citations
5.
Khaouane, Latifa, et al.. (2023). Deep Learning for Drug Development: Using CNNs in MIA-QSAR to Predict Plasma Protein Binding of Drugs. AAPS PharmSciTech. 24(8). 232–232. 6 indexed citations
6.
Hanini, Salah, et al.. (2023). A Quantitative Structure-Activity Relationship for Human Plasma Protein Binding: Prediction, Validation and Applicability Domain. Advanced Pharmaceutical Bulletin. 13(4). 784–791. 4 indexed citations
7.
Bailek, Nadjem, Alban Kuriqi, Nadhir Al‐Ansari, et al.. (2023). Assessing the Efficacy of Improved Learning in Hourly Global Irradiance Prediction. Computers, materials & continua/Computers, materials & continua (Print). 77(2). 2579–2594. 3 indexed citations
8.
9.
Hanini, Salah, et al.. (2022). Neural network for prediction solar radiation in Relizane region (Algeria) - Analysis study. 7(2). 8–8. 1 indexed citations
10.
Hanini, Salah, et al.. (2022). A Novel Methodology for Human Plasma Protein Binding: Prediction, Validation, and Applicability Domain. Pharmaceutical and Biomedical Research. 8(4). 311–322. 2 indexed citations
11.
Hanini, Salah, et al.. (2021). EQUILIBRIUM, THERMODYNAMIC AND KINETIC MODELING FOR THE ADSORPTION OF TEXTILE DYE (BEMACID BLUE) ONTO ACTIVATED CARBON SYNTHESIZED FROM OLIVE CORES. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Cheknane, Benamar, et al.. (2020). Synthesis and characterization of a novel support based on hydrophobic clays and a Photosensitizer. Application to photodegradation of dyes. 6(3). 1 indexed citations
13.
Rebouh, Samia, et al.. (2018). Neuro-fuzzy modeling of ibuprofen-sustained release from tablets based on different cellulose derivatives. Drug Delivery and Translational Research. 9(1). 162–177. 21 indexed citations
14.
Khaouane, Latifa, et al.. (2018). QSPR estimation models of normal boiling point and relative liquid density of pure hydrocarbons using MLR and MLP-ANN methods. Journal of Molecular Graphics and Modelling. 87. 109–120. 54 indexed citations
15.
Nassef, Ehssan, et al.. (2017). Removal of Copper Ions from Liquid Wastes by Adsorption Technique. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Hanini, Salah, et al.. (2017). Kinetic Modeling and Parameters Identification Based on Metaheuristic Optimization Techniques for Extraction Process of Marrubium vulgare L. Essential Oil. Journal of Agricultural Science and Technology. 19(2). 307–322. 13 indexed citations
17.
Hanini, Salah, et al.. (2016). Particle dispersion modeling in ventilated room using artificial neural network. Nuclear Science and Techniques. 28(1). 11 indexed citations
18.
Hanini, Salah, et al.. (2015). Study of the Luffa Cylindrica, Part II: Pulp Elaboration and Paper Characterization. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Hanini, Salah, et al.. (2015). Simulation of nucleate boiling under ANSYS-FLUENT code by using RPI model coupling with artificial neural networks. 《核技术》(英文版). 26(4). 40601–40601. 16 indexed citations
20.
Hamadache, Mabrouk, Othmane Benkortbi, Salah Hanini, et al.. (2015). A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, domain of application and prediction. Journal of Hazardous Materials. 303. 28–40. 76 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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