Mohammad Momeny

1.1k total citations
19 papers, 843 citations indexed

About

Mohammad Momeny is a scholar working on Plant Science, Analytical Chemistry and Media Technology. According to data from OpenAlex, Mohammad Momeny has authored 19 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 7 papers in Analytical Chemistry and 6 papers in Media Technology. Recurrent topics in Mohammad Momeny's work include Spectroscopy and Chemometric Analyses (7 papers), Smart Agriculture and AI (7 papers) and COVID-19 diagnosis using AI (5 papers). Mohammad Momeny is often cited by papers focused on Spectroscopy and Chemometric Analyses (7 papers), Smart Agriculture and AI (7 papers) and COVID-19 diagnosis using AI (5 papers). Mohammad Momeny collaborates with scholars based in Iran, United States and United Kingdom. Mohammad Momeny's co-authors include Ahmad Jahanbakhshi, Yudong Zhang, Majid Mahmoudi, Ali Asghar Neshat, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, Petia Radeva, Yiannis Ampatzidis, Alimohammad Latif and Mohammad Arafat Hussain and has published in prestigious journals such as Food Control, Postharvest Biology and Technology and Scientia Horticulturae.

In The Last Decade

Mohammad Momeny

19 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Momeny Iran 15 375 309 129 119 107 19 843
Atul Bansal India 18 519 1.4× 400 1.3× 186 1.4× 141 1.2× 86 0.8× 59 1.2k
Anuja Bhargava India 13 566 1.5× 429 1.4× 95 0.7× 145 1.2× 89 0.8× 25 939
İlkay Çınar Türkiye 16 467 1.2× 394 1.3× 125 1.0× 86 0.7× 78 0.7× 41 878
J.M. Prats-Montalbán Spain 19 281 0.7× 531 1.7× 94 0.7× 183 1.5× 116 1.1× 55 1.1k
Yan Cao China 18 174 0.5× 321 1.0× 135 1.0× 178 1.5× 36 0.3× 33 907
Ke Sun China 16 195 0.5× 336 1.1× 258 2.0× 218 1.8× 115 1.1× 34 963
Chengcheng Chen China 22 279 0.7× 92 0.3× 118 0.9× 70 0.6× 106 1.0× 52 1.3k
D. Lorente Spain 13 400 1.1× 845 2.7× 53 0.4× 362 3.0× 153 1.4× 15 1.2k
Ebenezer O. Olaniyi United States 12 182 0.5× 142 0.5× 55 0.4× 66 0.6× 35 0.3× 29 590
Eunsoo Park South Korea 18 187 0.5× 267 0.9× 171 1.3× 67 0.6× 40 0.4× 55 753

Countries citing papers authored by Mohammad Momeny

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Momeny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Momeny

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

All Works

19 of 19 papers shown
1.
Hussain, Mohammad Arafat, et al.. (2024). Patient's airway monitoring during cardiopulmonary resuscitation using deep networks. Medical Engineering & Physics. 129(1). 104179–104179. 3 indexed citations
2.
Hussain, Mohammad Arafat, et al.. (2023). LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation. Displays. 76. 102371–102371. 18 indexed citations
3.
Azizi, Hossein, Ezzatollah Askari Asli‐Ardeh, Ahmad Jahanbakhshi, & Mohammad Momeny. (2023). Vision-based strawberry classification using generalized and robust deep networks. Journal of Agriculture and Food Research. 15. 100931–100931. 17 indexed citations
4.
Hussain, Mohammad Arafat, Zahra Mirikharaji, Mohammad Momeny, et al.. (2022). Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Computerized Medical Imaging and Graphics. 102. 102127–102127. 16 indexed citations
5.
Akbarimajd, Adel, et al.. (2022). Learning-to-augment incorporated noise-robust deep CNN for detection of COVID-19 in noisy X-ray images. Journal of Computational Science. 63. 101763–101763. 27 indexed citations
6.
Momeny, Mohammad, et al.. (2022). Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks. Ecological Informatics. 71. 101829–101829. 58 indexed citations
7.
Momeny, Mohammad, Ali Asghar Neshat, Ahmad Jahanbakhshi, et al.. (2022). Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN. Food Control. 147. 109554–109554. 53 indexed citations
8.
Momeny, Mohammad, et al.. (2021). Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy. Computers in Biology and Medicine. 141. 105175–105175. 32 indexed citations
9.
Jahanbakhshi, Ahmad, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, & Mohammad Momeny. (2021). A novel method based on machine vision system and deep learning to detect fraud in turmeric powder. Computers in Biology and Medicine. 136. 104728–104728. 64 indexed citations
10.
Jahanbakhshi, Ahmad, Yousef Abbaspour‐Gilandeh, Kobra Heidarbeigi, & Mohammad Momeny. (2021). Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning. Computers in Biology and Medicine. 136. 104764–104764. 48 indexed citations
11.
Momeny, Mohammad, Mehdi Agha Sarram, Alimohammad Latif, & Razieh Sheikhpour. (2021). A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images. 17(4). 139–154. 4 indexed citations
12.
Momeny, Mohammad, Alimohammad Latif, Mehdi Agha Sarram, Razieh Sheikhpour, & Yudong Zhang. (2021). A noise robust convolutional neural network for image classification. Results in Engineering. 10. 100225–100225. 72 indexed citations
13.
Akbarimajd, Adel, Ali Asghar Neshat, Mohammad Arafat Hussain, & Mohammad Momeny. (2021). Detection of Covid-19 in Noisy X-Ray Images Using Learning-to-Augment Incorporated Noise-Robust Deep Cnn. SSRN Electronic Journal. 1 indexed citations
14.
Jahanbakhshi, Ahmad, Mohammad Momeny, Majid Mahmoudi, & Petia Radeva. (2021). Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks. Energy Reports. 7. 5248–5256. 51 indexed citations
15.
Momeny, Mohammad, et al.. (2021). Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. Computers in Biology and Medicine. 136(10). 104704–104704. 40 indexed citations
16.
Jahanbakhshi, Ahmad, et al.. (2020). Influence of ultrasound pre‐treatment and temperature on the quality and thermodynamic properties in the drying process of nectarine slices in a hot air dryer. Journal of Food Processing and Preservation. 44(10). 78 indexed citations
17.
Momeny, Mohammad, et al.. (2020). Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach. Postharvest Biology and Technology. 166. 111204–111204. 130 indexed citations
18.
Jahanbakhshi, Ahmad, Mohammad Momeny, Majid Mahmoudi, & Yudong Zhang. (2019). Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks. Scientia Horticulturae. 263. 109133–109133. 122 indexed citations
19.

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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