Maimunah Mohd Ali

1.6k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

Maimunah Mohd Ali is a scholar working on Analytical Chemistry, Plant Science and Biomedical Engineering. According to data from OpenAlex, Maimunah Mohd Ali has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Analytical Chemistry, 22 papers in Plant Science and 14 papers in Biomedical Engineering. Recurrent topics in Maimunah Mohd Ali's work include Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (10 papers) and Advanced Chemical Sensor Technologies (9 papers). Maimunah Mohd Ali is often cited by papers focused on Spectroscopy and Chemometric Analyses (23 papers), Smart Agriculture and AI (10 papers) and Advanced Chemical Sensor Technologies (9 papers). Maimunah Mohd Ali collaborates with scholars based in Malaysia, United States and Indonesia. Maimunah Mohd Ali's co-authors include Norhashila Hashim, Samsuzana Abd Aziz, Ola Lasekan, Siti Khairunniza Bejo, Rosnah Shamsudin, Chandima Gomes, Nur Atirah Muhadi, Bernard Maringgal, Muhammad Hazwan Hamzah and Mahirah Jahari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Trends in Food Science & Technology.

In The Last Decade

Maimunah Mohd Ali

35 papers receiving 1.1k citations

Hit Papers

Principles and recent advances in electronic nose for qua... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maimunah Mohd Ali Malaysia 16 437 408 328 245 194 43 1.1k
Yuanyuan Pu Ireland 16 352 0.8× 547 1.3× 297 0.9× 468 1.9× 130 0.7× 26 1.3k
Jie Yu Chen Japan 20 268 0.6× 359 0.9× 222 0.7× 262 1.1× 141 0.7× 47 976
Lingxia Huang China 16 218 0.5× 279 0.7× 206 0.6× 257 1.0× 95 0.5× 34 848
Shuang Gu China 18 343 0.8× 199 0.5× 425 1.3× 174 0.7× 203 1.0× 52 996
R. Beghi Italy 19 417 1.0× 808 2.0× 355 1.1× 354 1.4× 69 0.4× 76 1.2k
Annia García Pereira Cuba 12 313 0.7× 582 1.4× 468 1.4× 157 0.6× 54 0.3× 36 998
Valentina Giovenzana Italy 20 329 0.8× 599 1.5× 283 0.9× 304 1.2× 47 0.2× 70 1.0k
Roberto Romaniello Italy 22 289 0.7× 576 1.4× 213 0.6× 457 1.9× 65 0.3× 60 1.2k
Chiara Sanmartin Italy 23 452 1.0× 118 0.3× 233 0.7× 628 2.6× 172 0.9× 100 1.4k
Rajiv Sharma India 14 369 0.8× 176 0.4× 265 0.8× 349 1.4× 121 0.6× 43 1.1k

Countries citing papers authored by Maimunah Mohd Ali

Since Specialization
Citations

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

Fields of papers citing papers by Maimunah Mohd Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maimunah Mohd Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Maimunah Mohd Ali. A scholar is included among the top collaborators of Maimunah Mohd Ali 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 Maimunah Mohd Ali. Maimunah Mohd Ali 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.
Dasore, Abhishek, et al.. (2025). Optimization of machine learning models for predicting glutinous rice quality stored under various conditions. Journal of Stored Products Research. 111. 102550–102550. 1 indexed citations
3.
Mustapha, Wan Aida Wan, Seng Joe Lim, Hafeedza Abdul Rahman, et al.. (2025). Subcritical water extraction of bioactive compounds from plant materials: recent advances. Journal of Future Foods. 6(5). 753–764. 3 indexed citations
4.
Arefi, Arman, Carlos Vilas, Mulugeta Admasu Delele, et al.. (2025). Convergence of Digital Twins and food drying technology: How to bring the next generation of dryers to life!?. Journal of Food Engineering. 404. 112770–112770.
5.
Ali, Maimunah Mohd & Norhashila Hashim. (2024). Development of deep learning based user-friendly interface for fruit quality detection. Journal of Food Engineering. 380. 112165–112165. 6 indexed citations
6.
Dasore, Abhishek, et al.. (2024). Quality monitoring of glutinous rice processing from drying to extended storage using hyperspectral imaging. Computers and Electronics in Agriculture. 225. 109348–109348. 8 indexed citations
8.
Ali, Maimunah Mohd, et al.. (2023). Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications. Trends in Food Science & Technology. 133. 176–188. 34 indexed citations
9.
Shamsudin, Rosnah, et al.. (2023). Design of a separator machine for oil palm fruit mesocarp and nut using computer‐aided design and linear finite element analysis. Journal of Food Process Engineering. 46(12). 1 indexed citations
10.
Haris, Nur Izzah Nabilah, et al.. (2023). Development and testing of an oil palm (Elaeis guineensis Jacq.) fruit digester process for kernel free in crude palm oil production. Industrial Crops and Products. 208. 117755–117755. 4 indexed citations
12.
Ali, Maimunah Mohd, Norhashila Hashim, Samsuzana Abd Aziz, & Ola Lasekan. (2021). Quality Inspection of Food and Agricultural Products using Artificial Intelligence. 6 indexed citations
13.
Maringgal, Bernard, Norhashila Hashim, Intan Syafinaz Mohamed Amin Tawakkal, et al.. (2021). Effect of Kelulut Honey Nanoparticles Coating on the Changes of Respiration Rate, Ascorbic Acid, and Total Phenolic Content of Papaya (Carica papaya L.) during Cold Storage. Foods. 10(2). 432–432. 16 indexed citations
14.
Ali, Maimunah Mohd, et al.. (2020). Pulp and paper production from oil palm empty fruit bunches: A current direction in Malaysia. 1(2). 1–9. 10 indexed citations
15.
Ali, Maimunah Mohd, Norhashila Hashim, Samsuzana Abd Aziz, & Ola Lasekan. (2020). Exploring the chemical composition, emerging applications, potential uses, and health benefits of durian: A review. Food Control. 113. 107189–107189. 48 indexed citations
16.
Ali, Maimunah Mohd, et al.. (2019). Non-destructive techniques of detecting plant diseases: A review. Physiological and Molecular Plant Pathology. 108. 101426–101426. 111 indexed citations
17.
Ali, Maimunah Mohd, Rimfiel Janius, Nazmi Mat Nawi, & Norhashila Hashim. (2018). PREDICTION OF TOTAL SOLUBLE SOLIDS AND PH IN BANANA USING NEAR INFRARED SPECTROSCOPY. SHILAP Revista de lepidopterología. 15 indexed citations
18.
Ali, Maimunah Mohd, et al.. (2017). RGB imaging system for monitoring quality changes of seedless watermelon during storage. Acta Horticulturae. 361–366. 9 indexed citations
19.
Ali, Maimunah Mohd, Norhashila Hashim, Siti Khairunniza Bejo, & Rosnah Shamsudin. (2017). Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: A review. Scientia Horticulturae. 225. 689–699. 43 indexed citations
20.
Ali, Maimunah Mohd, Norhashila Hashim, Siti Khairunniza Bejo, & Rosnah Shamsudin. (2016). Quality evaluation of watermelon using laser-induced backscattering imaging during storage. Postharvest Biology and Technology. 123. 51–59. 36 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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