Mohd Almie Alias

430 total citations
24 papers, 291 citations indexed

About

Mohd Almie Alias is a scholar working on Computational Theory and Mathematics, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Mohd Almie Alias has authored 24 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computational Theory and Mathematics, 6 papers in Modeling and Simulation and 4 papers in Artificial Intelligence. Recurrent topics in Mohd Almie Alias's work include Topological and Geometric Data Analysis (11 papers), Fractional Differential Equations Solutions (5 papers) and Nonlinear Differential Equations Analysis (3 papers). Mohd Almie Alias is often cited by papers focused on Topological and Geometric Data Analysis (11 papers), Fractional Differential Equations Solutions (5 papers) and Nonlinear Differential Equations Analysis (3 papers). Mohd Almie Alias collaborates with scholars based in Malaysia, Jordan and Australia. Mohd Almie Alias's co-authors include Ishak Hashim, Mohammed Al‐Smadi, Fatimah Abdul Razak, Pascal R. Buenzli, Omar Abu Arqub, Mohd Salmi Md Noorani, Mohd Salmi Md Noorani, Choong-Yeun Liong, Mohsen Farid and Mohd Aftar Abu Bakar and has published in prestigious journals such as Scientific Reports, Journal of Environmental Management and International Journal of Environmental Research and Public Health.

In The Last Decade

Mohd Almie Alias

22 papers receiving 278 citations

Peers

Mohd Almie Alias

CTM

MSOR

Atsushi Nagai Japan

Ömür Uğur Türkiye

Kurt Helmes Germany

Viktor Winschel Switzerland

Pedro Garrancho Spain

Anouar Ben Mabrouk Tunisia

Kim Gaik Tay Malaysia

Rajae Aboulaïch Morocco

Feng Shi China

Atsushi Nagai Japan

Mohd Almie Alias

38 ×0.6

CTM

31 ×0.5

34 ×0.6

MSOR

28 ×0.7

17 ×0.5

Citations per year, relative to Mohd Almie Alias Mohd Almie Alias (= 1×) peers Atsushi Nagai

Countries citing papers authored by Mohd Almie Alias

Since Specialization

Citations

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

Fields of papers citing papers by Mohd Almie Alias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohd Almie Alias. 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 Mohd Almie Alias. The network helps show where Mohd Almie Alias may publish in the future.

Co-authorship network of co-authors of Mohd Almie Alias

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Almie Alias. A scholar is included among the top collaborators of Mohd Almie Alias 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 Mohd Almie Alias. Mohd Almie Alias 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

Bakar, Mohd Aftar Abu, et al.. (2025). Shearlet Transform and Convolutional Neural Network for Histopathology Images in Breast Cancer Classification. Malaysian Journal of Fundamental and Applied Sciences. 21(4). 2288–2302.

Masseran, Nurulkamal, et al.. (2024). Modeling Asymmetric Dependence Structure of Air Pollution Characteristics: A Vine Copula Approach. Mathematics. 12(4). 576–576. 1 indexed citations

Alias, Mohd Almie, et al.. (2023). Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection. Cancers. 15(9). 2606–2606. 4 indexed citations

Noorani, Mohd Salmi Md, et al.. (2022). Hybridization of hierarchical clustering with persistent homology in assessing haze episodes between air quality monitoring stations. Journal of Environmental Management. 306. 114434–114434. 13 indexed citations

Noorani, Mohd Salmi Md, et al.. (2022). Understanding Published Literatures on Persistent Homology using Social Network Analysis. Malaysian Journal of Fundamental and Applied Sciences. 18(4). 413–429. 2 indexed citations

Noorani, Mohd Salmi Md, et al.. (2021). Early warning signals of financial crises using persistent homology. Physica A Statistical Mechanics and its Applications. 586. 126459–126459. 17 indexed citations

Noorani, Mohd Salmi Md, et al.. (2021). Using persistent homology as preprocessing of early warning signals for critical transition in flood. Scientific Reports. 11(1). 7234–7234. 15 indexed citations

Bakar, Mohd Aftar Abu, et al.. (2021). Deep Learning on Histopathology Images for Breast Cancer Classification: A Bibliometric Analysis. Healthcare. 10(1). 10–10. 25 indexed citations

Noorani, Mohd Salmi Md, et al.. (2020). Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange. Applied Soft Computing. 93. 106422–106422. 41 indexed citations

10.

Noorani, Mohd Salmi Md, et al.. (2020). Pendekatan Baharu untuk Mengelompok Stesen Pengawasan Kualiti Udara menggunakan Homologi Gigih. Sains Malaysiana. 49(4). 963–970. 2 indexed citations

11.

Al‐Smadi, Mohammed, et al.. (2020). Residual Series Representation Algorithm for Solving Fuzzy Duffing Oscillator Equations. Symmetry. 12(4). 572–572. 56 indexed citations

12.

Noorani, Mohd Salmi Md, et al.. (2020). Cluster Analysis of Haze Episodes Based on Topological Features. Sustainability. 12(10). 3985–3985. 13 indexed citations

13.

Noorani, Mohd Salmi Md, et al.. (2020). An Early Warning System for Flood Detection Using Critical Slowing Down. International Journal of Environmental Research and Public Health. 17(17). 6131–6131. 3 indexed citations

14.

Al‐Smadi, Mohammed, et al.. (2019). Applications of fractional power series approach in solving fractional Volterra integro-differential equations. AIP conference proceedings. 2111. 20003–20003. 8 indexed citations

15.

Noorani, Mohd Salmi Md, et al.. (2019). Streamflow data analysis using persistent homology. AIP conference proceedings. 2111. 20021–20021. 1 indexed citations

16.

Al‐Smadi, Mohammed, et al.. (2019). Adaptation of residual power series method to solve Fredholm fuzzy integro-differential equations. AIP conference proceedings. 2111. 20002–20002. 9 indexed citations

17.

Alias, Mohd Almie & Pascal R. Buenzli. (2019). A level‐set method for the evolution of cells and tissue during curvature‐controlled growth. International Journal for Numerical Methods in Biomedical Engineering. 36(1). e3279–e3279. 18 indexed citations

18.

Noorani, Mohd Salmi Md, et al.. (2019). Topological Characterization of Haze Episodes Using Persistent Homology. Aerosol and Air Quality Research. 19(7). 1614–1624. 7 indexed citations

19.

Noorani, Mohd Salmi Md, et al.. (2019). Haze detection using persistent homology. AIP conference proceedings. 2111. 20012–20012. 2 indexed citations

20.

Alias, Mohd Almie & Pascal R. Buenzli. (2018). Osteoblasts infill irregular pores under curvature and porosity controls: a hypothesis-testing analysis of cell behaviours. Biomechanics and Modeling in Mechanobiology. 17(5). 1357–1371. 19 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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