Moncef Chioua

519 total citations
35 papers, 380 citations indexed

About

Moncef Chioua is a scholar working on Control and Systems Engineering, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Moncef Chioua has authored 35 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 9 papers in Mechanical Engineering and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Moncef Chioua's work include Fault Detection and Control Systems (25 papers), Advanced Control Systems Optimization (11 papers) and Mineral Processing and Grinding (8 papers). Moncef Chioua is often cited by papers focused on Fault Detection and Control Systems (25 papers), Advanced Control Systems Optimization (11 papers) and Mineral Processing and Grinding (8 papers). Moncef Chioua collaborates with scholars based in Canada, United Kingdom and Germany. Moncef Chioua's co-authors include Nina F. Thornhill, Chriss Grimholt, Pascal Perrier, Martin Guay, Vicent Miquel Rodrigo Peñarrocha, Tore Hägglund, Bala Srinivasan, Margret Bauer, James R. Ottewill and Alexander Fay and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Computers & Chemical Engineering and Control Engineering Practice.

In The Last Decade

Moncef Chioua

33 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moncef Chioua Canada 12 297 104 72 60 36 35 380
Yihao Qin China 9 212 0.7× 60 0.6× 36 0.5× 117 1.9× 24 0.7× 17 394
Mark Kotanchek United States 5 380 1.3× 92 0.9× 67 0.9× 264 4.4× 15 0.4× 10 501
Ahmad W. Al-Dabbagh Canada 10 197 0.7× 58 0.6× 46 0.6× 10 0.2× 24 0.7× 31 342
Mengjun Li China 9 40 0.1× 102 1.0× 26 0.4× 25 0.4× 18 0.5× 33 307
Hongsheng Su China 9 173 0.6× 64 0.6× 23 0.3× 44 0.7× 26 0.7× 90 387
Jakey Blue France 11 146 0.5× 45 0.4× 93 1.3× 61 1.0× 217 6.0× 33 365
K. Najim France 13 286 1.0× 98 0.9× 5 0.1× 84 1.4× 13 0.4× 68 448
João A. Duro United Kingdom 7 64 0.2× 201 1.9× 20 0.3× 82 1.4× 58 1.6× 13 410
Xianqiu Meng China 10 56 0.2× 193 1.9× 9 0.1× 32 0.5× 19 0.5× 20 300

Countries citing papers authored by Moncef Chioua

Since Specialization
Citations

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

Fields of papers citing papers by Moncef Chioua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moncef Chioua

This figure shows the co-authorship network connecting the top 25 collaborators of Moncef Chioua. A scholar is included among the top collaborators of Moncef Chioua 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 Moncef Chioua. Moncef Chioua 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.
Hoesli, Corinne A., et al.. (2025). AI‐Driven Quality Monitoring and Control in Stem Cell Cultures: A Comprehensive Review. Biotechnology Journal. 20(8). e70100–e70100. 1 indexed citations
2.
Singh, Rohan, et al.. (2024). Towards non-invasive quality monitoring and control of stem cell-derived pancreatic islet manufacturing. IFAC-PapersOnLine. 58(14). 781–786. 1 indexed citations
3.
4.
Chioua, Moncef, et al.. (2024). A propagation path-based interpretable neural network model for fault detection and diagnosis in chemical process systems. Control Engineering Practice. 150. 105988–105988. 8 indexed citations
5.
Chioua, Moncef, et al.. (2023). Comparison of signal processing methods considering their optimal parameters using synthetic signals in a heat exchanger network simulation. Computers & Chemical Engineering. 178. 108380–108380. 7 indexed citations
6.
Chioua, Moncef, et al.. (2023). Experimental methods in chemical engineering: Data processing and data usage in decision‐making. The Canadian Journal of Chemical Engineering. 101(11). 6055–6078. 10 indexed citations
7.
Kelly, Jeffrey D., et al.. (2023). Industrial Data-Driven Processing Framework Combining Process Knowledge for Improved Decision Making—Part 1: Framework Development. Processes. 11(8). 2376–2376. 3 indexed citations
8.
Chioua, Moncef, et al.. (2022). From oscillatory to non-oscillatory disturbances: A comparative review of root cause analysis methods. Journal of Process Control. 113. 42–67. 15 indexed citations
9.
Chioua, Moncef, et al.. (2019). Variable Selection for Fault Detection and Identification based on Mutual Information of Alarm Series. IFAC-PapersOnLine. 52(1). 673–678. 9 indexed citations
10.
Chioua, Moncef, et al.. (2019). Advances in alarm data analysis with a practical application to online alarm flood classification. Journal of Process Control. 79. 56–71. 56 indexed citations
11.
Chioua, Moncef, et al.. (2019). Forecasting of process disturbances using k-nearest neighbours, with an application in process control. Computers & Chemical Engineering. 128. 188–200. 5 indexed citations
12.
Zhou, Baifan, et al.. (2019). Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process. Industrial & Engineering Chemistry Research. 58(26). 11234–11250. 9 indexed citations
13.
Chioua, Moncef, et al.. (2018). Diagnosis of Oscillations in an Industrial Mineral Process Using Transfer Entropy and Nonlinearity Index. IFAC-PapersOnLine. 51(24). 1409–1416. 13 indexed citations
14.
Chioua, Moncef, et al.. (2018). On improving fault detection and diagnosis using alarm-range normalisation. IFAC-PapersOnLine. 51(24). 1227–1232. 9 indexed citations
15.
Chioua, Moncef, et al.. (2018). An MPC with Disturbance Forecasting for the Control of the Level of a Tank with Limited Buffer Capacity. PolyPublie (École Polytechnique de Montréal). 1–9. 1 indexed citations
16.
Chioua, Moncef, et al.. (2016). Data-driven multi-unit monitoring scheme with hierarchical fault detection and diagnosis. PolyPublie (École Polytechnique de Montréal). 13–18. 2 indexed citations
17.
Chioua, Moncef, B. Srinivasan, Martin Guay, & Pascal Perrier. (2016). Performance Improvement of Extremum Seeking Control using Recursive Least Square Estimation with Forgetting Factor. IFAC-PapersOnLine. 49(7). 424–429. 22 indexed citations
18.
Chioua, Moncef, Margret Bauer, Suliang Chen, et al.. (2015). Plant-wide root cause identification using plant key performance indicators (KPIs) with application to a paper machine. Control Engineering Practice. 49. 149–158. 16 indexed citations
19.
Fay, Alexander, et al.. (2015). Supporting plant disturbance analysis by dynamic causal digraphs and propagation look-up tables. PolyPublie (École Polytechnique de Montréal). 283–289. 8 indexed citations
20.
Fay, Alexander, et al.. (2014). Integrating plant and process information as a basis for automated plant diagnosis tasks. PolyPublie (École Polytechnique de Montréal). 1–8. 14 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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