Belaid Moa

585 total citations
34 papers, 376 citations indexed

About

Belaid Moa is a scholar working on Management Information Systems, Health Information Management and Management Science and Operations Research. According to data from OpenAlex, Belaid Moa has authored 34 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Management Information Systems, 6 papers in Health Information Management and 5 papers in Management Science and Operations Research. Recurrent topics in Belaid Moa's work include Artificial Intelligence in Healthcare (6 papers), Big Data and Business Intelligence (6 papers) and Advanced SAR Imaging Techniques (5 papers). Belaid Moa is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Big Data and Business Intelligence (6 papers) and Advanced SAR Imaging Techniques (5 papers). Belaid Moa collaborates with scholars based in Canada, United States and China. Belaid Moa's co-authors include Issa Traoré, Conrad Rizal, Bradley J. Buckham, Peter Oshkai, Curran Crawford, Peter F. Driessen, Fayez Gebali, Arif Babul, Douglas Rennehan and Romeel Davé and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Signal Processing.

In The Last Decade

Belaid Moa

32 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Belaid Moa Canada 12 72 71 57 53 47 34 376
Paolo Mulassano Italy 12 158 2.2× 28 0.4× 48 0.8× 20 0.4× 373 7.9× 69 474
Ayan Biswas United States 14 46 0.6× 26 0.4× 99 1.7× 62 1.2× 11 0.2× 43 420
Zhibo Wu China 11 78 1.1× 24 0.3× 37 0.6× 5 0.1× 67 1.4× 62 418
Jialei Wang China 15 30 0.4× 81 1.1× 153 2.7× 16 0.3× 32 0.7× 51 718
Brian Friesen United States 8 95 1.3× 130 1.8× 15 0.3× 6 0.1× 64 1.4× 20 460
A. Pereira Spain 12 92 1.3× 11 0.2× 118 2.1× 50 0.9× 83 1.8× 50 462
Alireza Aghasi United States 12 105 1.5× 30 0.4× 50 0.9× 6 0.1× 39 0.8× 35 403
Stuart Slattery United States 11 28 0.4× 97 1.4× 19 0.3× 8 0.2× 85 1.8× 21 306
Michele Rosso France 5 56 0.8× 143 2.0× 14 0.2× 14 0.3× 66 1.4× 9 340
Edward W. Ng United States 9 70 1.0× 22 0.3× 27 0.5× 17 0.3× 43 0.9× 35 509

Countries citing papers authored by Belaid Moa

Since Specialization
Citations

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

Fields of papers citing papers by Belaid Moa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Belaid Moa

This figure shows the co-authorship network connecting the top 25 collaborators of Belaid Moa. A scholar is included among the top collaborators of Belaid Moa 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 Belaid Moa. Belaid Moa 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.
Moa, Belaid, et al.. (2025). PCLDA: An interpretable cell annotation tool for single-cell RNA-sequencing data based on simple statistical methods. Computational and Structural Biotechnology Journal. 27. 3264–3274. 1 indexed citations
2.
Moa, Belaid, et al.. (2025). scSorterDL: a deep neural network-enhanced ensemble LDAs for single cell classifications. Briefings in Bioinformatics. 26(5).
3.
Moa, Belaid, et al.. (2025). Classification and Severity Estimation of Eccentricity Faults in Salient Pole Synchronous Machine Using Deep Learning. IEEE Transactions on Industry Applications. 61(4). 6193–6204.
4.
Moa, Belaid, et al.. (2024). A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection. Photodiagnosis and Photodynamic Therapy. 46. 104048–104048. 3 indexed citations
5.
Moa, Belaid, et al.. (2024). Histological, chemical and gene expression differences between western redcedar seedlings resistant and susceptible to cedar leaf blight. Frontiers in Plant Science. 15. 1309762–1309762. 1 indexed citations
6.
Borden, Scott A., et al.. (2022). Variability in the unregulated opioid market in the context of extreme rates of overdose. Drug and Alcohol Dependence. 235. 109427–109427. 31 indexed citations
7.
Wallace, Bruce, Collin Kielty, Derek J. S. Robinson, et al.. (2022). A distributed model to expand the reach of drug checking. 23(3). 220–231. 18 indexed citations
8.
9.
Traoré, Issa, et al.. (2019). Hypervisor-based cloud intrusion detection through online multivariate statistical change tracking. Computers & Security. 88. 101646–101646. 71 indexed citations
10.
11.
Akhgar, Alireza, et al.. (2017). Lattice-Boltzmann simulation of multi-phase phenomena related to fuel cells. AIP conference proceedings. 1863. 30039–30039. 3 indexed citations
12.
13.
Moa, Belaid, et al.. (2017). Towards a real-time big data analytics platform for health applications. 4(2). 61–61. 6 indexed citations
14.
Moa, Belaid, et al.. (2016). ISPH modelling for hydrodynamic applications using a new MPI-based parallel approach. Journal of Ocean Engineering and Marine Energy. 3(1). 35–50. 9 indexed citations
15.
Moa, Belaid, et al.. (2016). ISPH modelling of an oscillating wave surge converter using an OpenMP-based parallel approach. Journal of Ocean Engineering and Marine Energy. 2(3). 301–312. 26 indexed citations
16.
17.
Moa, Belaid, et al.. (2012). Improving the semantics of the Software Cost Reduction method. Journal of Applied Logic. 10(4). 410–418. 1 indexed citations
18.
Alharbi, Soltan, Belaid Moa, Jens H. Weber-Jahnke, & Issa Traoré. (2012). High Performance Proactive Digital Forensics. Journal of Physics Conference Series. 385. 12003–12003. 2 indexed citations
19.
Goodenough, D.G., et al.. (2010). Unsupervised nonparametric classification of polarimetric SAR data using the K-nearest neighbor graph. 1867–1870. 21 indexed citations
20.
Goodenough, D.G., et al.. (2010). A framework for efficiently parallelizing nonlinear noise reduction algorithm. 2182–2185. 1 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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