Mohamed Hentabli

457 total citations
35 papers, 330 citations indexed

About

Mohamed Hentabli is a scholar working on Food Science, Industrial and Manufacturing Engineering and Organic Chemistry. According to data from OpenAlex, Mohamed Hentabli has authored 35 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Organic Chemistry. Recurrent topics in Mohamed Hentabli's work include Water Quality Monitoring and Analysis (7 papers), Food Drying and Modeling (6 papers) and Computational Drug Discovery Methods (4 papers). Mohamed Hentabli is often cited by papers focused on Water Quality Monitoring and Analysis (7 papers), Food Drying and Modeling (6 papers) and Computational Drug Discovery Methods (4 papers). Mohamed Hentabli collaborates with scholars based in Algeria, France and Tunisia. Mohamed Hentabli's co-authors include Salah Hanini, Farid Dahmoune, Cherif Si‐Moussa, Hocine Remini, Yacine Kerchich, Lotfi Mouni, Abd-Elmouneïm Belhadj, Giorgia Spigno, Khodir Madani and Mabrouk Hamadache and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Powder Technology.

In The Last Decade

Mohamed Hentabli

29 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohamed Hentabli Algeria	11	81	60	47	41	40	35	330
Séverine Mortier Belgium	16	102 1.3×	45 0.8×	55 1.2×	18 0.4×	71 1.8×	27	624
Kah Hin Low Malaysia	14	61 0.8×	31 0.5×	73 1.6×	24 0.6×	45 1.1×	43	551
Amine Kassouf Lebanon	12	54 0.7×	87 1.4×	118 2.5×	32 0.8×	51 1.3×	21	358
Latifa Khaouane Algeria	10	32 0.4×	23 0.4×	33 0.7×	15 0.4×	114 2.9×	26	378
Júlio César Duarte Brazil	14	35 0.4×	42 0.7×	16 0.3×	20 0.5×	174 4.3×	65	595
Cherif Si‐Moussa Algeria	14	51 0.6×	24 0.4×	35 0.7×	14 0.3×	180 4.5×	21	455
Selma Toumi Algeria	11	56 0.7×	55 0.9×	32 0.7×	21 0.5×	32 0.8×	20	343
Hongwei Lu China	10	23 0.3×	77 1.3×	17 0.4×	26 0.6×	50 1.3×	20	371
Anant Achary India	12	24 0.3×	31 0.5×	42 0.9×	17 0.4×	120 3.0×	30	482
Othmane Benkortbi Algeria	13	65 0.8×	18 0.3×	40 0.9×	9 0.2×	85 2.1×	29	449

Countries citing papers authored by Mohamed Hentabli

Since Specialization

Citations

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

Fields of papers citing papers by Mohamed Hentabli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Hentabli

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Hentabli. A scholar is included among the top collaborators of Mohamed Hentabli 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 Mohamed Hentabli. Mohamed Hentabli 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

Hentabli, Mohamed, et al.. (2025). Predicting the anticancer activity of indole derivatives: A novel GP-tree-based QSAR model optimized by ALO with insights from molecular docking and decision-making methods. Computers in Biology and Medicine. 189. 109988–109988. 6 indexed citations

Hentabli, Mohamed, et al.. (2025). Enhanced bio-adsorbent derived from turnip leaves for crystal violet removal in aqueous solutions: experimental investigation, characterization, and machine learning modeling. International Journal of Chemical Reactor Engineering. 23(3). 321–340.

Hanini, Salah, et al.. (2025). A Novel Empirical Fractional Approach for Modeling the Clogging of Membrane Filtration During Protein Microfiltration. Membranes. 15(4). 99–99. 1 indexed citations

Hentabli, Mohamed, et al.. (2025). Coupling adsorption and solar photocatalysis using CuO/zeolite for amoxicillin removal: Mathematical modeling and optimization study. Inorganic Chemistry Communications. 177. 114400–114400.

Hentabli, Mohamed, et al.. (2025). Predicting Pesticide LC50 Toxicity Using Convolutional Neural Networks and Dragonfly-Support Vector Machine Methods with Quantitative Structure-Activity Relationship and 2D Molecular Fingerprints: A Case Study on Oncorhynchus Mykiss. Chemistry Africa. 8(4). 1463–1476. 1 indexed citations

Hentabli, Mohamed, et al.. (2025). Application of deep learning and machine learning models with enhanced feature extraction for the prediction of plant extraction yields using supercritical CO2: An optimization and comparative analysis. The Journal of Supercritical Fluids. 227. 106755–106755.

Baaka, Noureddine, et al.. (2025). Dyeing Silk Fibers the Green Way: Modeling the Dyeing Process with a Natural Dye Extracted from Phytolacca americana Fruits Through Response Surface Methodology and SVM-Based Machine Learning Modeling. Chemistry Africa. 8(7). 2917–2930. 1 indexed citations

Hentabli, Mohamed, et al.. (2024). Trade-offs in Encapsulation Efficiency and Drug Release: A Multi-Objective Optimization Approach. 2(4). 10010–10010.

Hentabli, Mohamed, et al.. (2024). Modeling Viscosity in Starch-Polymer Suspensions: A Comparative Analysis of Swarm Algorithm-Aided ANN Optimization. 2(3). 10009–10009.

10.

Hentabli, Mohamed, et al.. (2024). Enhancing basil essential oil microencapsulation using pectin/casein biopolymers: Optimization through D-optimal design, controlled release modeling, and characterization. International Journal of Biological Macromolecules. 265(Pt 1). 130948–130948. 19 indexed citations

11.

Hentabli, Mohamed, et al.. (2024). Improved Cupressus sempervirens L. galls for methylene blue removal: adsorption kinetics optimisation using the DA-LS algorithm, characterisation, and machine learning modeling. International Journal of Environmental & Analytical Chemistry. 105(17). 4967–4992. 5 indexed citations

12.

Hanini, Salah, et al.. (2023). Multicomponent Adsorption Capacity Forecasting Based on Support Vector Machine with Dragonfly Algorithm. SHILAP Revista de lepidopterología. 3 indexed citations

13.

Dahmoune, Farid, et al.. (2022). Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized by dragonfly algorithm. Chemometrics and Intelligent Laboratory Systems. 222. 104493–104493. 34 indexed citations

14.

Hentabli, Mohamed, et al.. (2022). Investigation of the candesartan cilexetil antihypertensive drug microencapsulation by PLA‐PVP K30 biodegradable polymers: Experimental optimization and release kinetics modelling. The Canadian Journal of Chemical Engineering. 101(8). 4446–4459. 8 indexed citations

15.

Hentabli, Mohamed, et al.. (2022). Rheological and Structural Study of Solid Lipid Microstructures Stabilized within a Lamellar Gel Network. Journal of Pharmaceutical Innovation. 17(4). 1434–1450. 9 indexed citations

16.

Hentabli, Mohamed, et al.. (2021). Vacuum drying of the Terbinafine HCl powder: A kinetics study and mathematical modeling. Powder Technology. 383. 220–232. 18 indexed citations

17.

Si‐Moussa, Cherif, et al.. (2020). Dragonfly-Support Vector Machine for Regression Modeling of the Activity Coefficient at Infinite Dilution of Solutes in Imidazolium Ionic Liquids Using σ-Profile Descriptors. Journal of Chemical & Engineering Data. 65(6). 3161–3172. 37 indexed citations

18.

Hanini, Salah, et al.. (2020). Artificial Intelligence and Mathematical Modelling of the Drying Kinetics of Pharmaceutical Powders. SHILAP Revista de lepidopterología. 69(3-4). 137–152. 30 indexed citations

19.

Hanini, Salah, et al.. (2020). Artificial Neural Network and Support Vector Regression Applied in Quantitative Structure-property Relationship Modelling of Solubility of Solid Solutes in Supercritical CO2. SHILAP Revista de lepidopterología. 69(11-12). 611–630. 13 indexed citations

20.

Si‐Moussa, Cherif, et al.. (2020). CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA. Chemical Industry and Chemical Engineering Quarterly. 27(3). 299–312. 13 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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