Khaled Ziane

487 total citations · 1 hit paper
6 papers, 264 citations indexed

About

Khaled Ziane is a scholar working on Mechanics of Materials, Pollution and Aerospace Engineering. According to data from OpenAlex, Khaled Ziane has authored 6 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanics of Materials, 3 papers in Pollution and 2 papers in Aerospace Engineering. Recurrent topics in Khaled Ziane's work include Mechanical Behavior of Composites (4 papers), Smart Materials for Construction (3 papers) and Mechanical stress and fatigue analysis (2 papers). Khaled Ziane is often cited by papers focused on Mechanical Behavior of Composites (4 papers), Smart Materials for Construction (3 papers) and Mechanical stress and fatigue analysis (2 papers). Khaled Ziane collaborates with scholars based in Canada and Algeria. Khaled Ziane's co-authors include Sasan Sattarpanah Karganroudi, Mariya Dimitrova, Hussein Ibrahim, Mehdi Adda, Adrian Ilinca, Ahmad Aminzadeh and Abdullah Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Wind Engineering.

In The Last Decade

Khaled Ziane

6 papers receiving 244 citations

Hit 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.

On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges

2022 219 citations Mariya Dimitrova, Khaled Ziane et al. Applied Sciences profile →

Peers

Khaled Ziane

IME

CSE

ME

MM

SRRQ

Francesca Calabrese Italy

Jovani Dalzochio Brazil

Haiyue Wu United States

Marcel Kettelgerdes Germany

Ekhi Zugasti Spain

Marie‐Christine Suhner France

Manuel Avila France

Zoi Arkouli Greece

Finn Tseng United States

Zineb Simeu-Abazi France

Francesca Calabrese Italy

Khaled Ziane

63 ×0.8

IME

97 ×1.3

CSE

39 ×0.9

ME

24 ×0.7

MM

25 ×0.7

SRRQ

Citations per year, relative to Khaled Ziane Khaled Ziane (= 1×) peers Francesca Calabrese

Countries citing papers authored by Khaled Ziane

Since Specialization

Citations

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

Fields of papers citing papers by Khaled Ziane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khaled Ziane

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

All Works

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6 of 6 papers shown

1.

Dimitrova, Mariya, Hussein Ibrahim, Mehdi Adda, et al.. (2023). Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor. Applied Sciences. 13(3). 1790–1790. 22 indexed citations

2.

Dimitrova, Mariya, et al.. (2022). On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges. Applied Sciences. 12(16). 8081–8081. 219 indexed citations breakdown →

3.

Ziane, Khaled, Adrian Ilinca, Sasan Sattarpanah Karganroudi, & Mariya Dimitrova. (2021). Neural Network Optimization Algorithms to Predict Wind Turbine Blade Fatigue Life under Variable Hygrothermal Conditions. SHILAP Revista de lepidopterología. 2(3). 278–295. 15 indexed citations

4.

Ziane, Khaled, et al.. (2020). A cuckoo search based neural network to predict fatigue life in rotor blade composites. JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES. 14(1). 6430–6442. 2 indexed citations

5.

Ziane, Khaled, et al.. (2016). Fatigue strength prediction in composite materials of wind turbine blades under dry–wet conditions: An artificial neural network approach. Wind Engineering. 40(3). 189–198. 4 indexed citations

6.

Ziane, Khaled, et al.. (2015). PARTICLE SWARM OPTIMIZATION-BASED NEURAL NETWORK FOR PREDICTING FATIGUE STRENGTH IN COMPOSITE LAMINATES OF WIND TURBINE BLADES. Composites Mechanics Computations Applications An International Journal. 6(4). 321–338. 2 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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