Mohammad Ali Balafar

2.5k total citations
90 papers, 1.6k citations indexed

About

Mohammad Ali Balafar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mohammad Ali Balafar has authored 90 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Mohammad Ali Balafar's work include Image Retrieval and Classification Techniques (15 papers), Medical Image Segmentation Techniques (13 papers) and Face and Expression Recognition (8 papers). Mohammad Ali Balafar is often cited by papers focused on Image Retrieval and Classification Techniques (15 papers), Medical Image Segmentation Techniques (13 papers) and Face and Expression Recognition (8 papers). Mohammad Ali Balafar collaborates with scholars based in Iran, Malaysia and Canada. Mohammad Ali Balafar's co-authors include Syamsiah Mashohor, Mohammad‐Reza Feizi‐Derakhshi, M. Iqbal Saripan, Abd Rahman Ramli, Seyed Naser Razavi, Cina Motamed, Amin Golzari Oskouei, Narjes Nikzad-Khasmakhi, Prashanth Suravajhala and Jafar Tanha and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohammad Ali Balafar

84 papers receiving 1.5k citations

Peers

Mohammad Ali Balafar

CVPR

NEURO

RNMI

Pengjiang Qian China

Agma J. M. Traina Brazil

Yan Pei Japan

Liang Sun China

Zhongshi He China

Rushi Lan China

Jun Feng China

Qiang Cheng United States

Maurizio Filippone United Kingdom

Mohammad Sadegh Helfroush Iran

Pengjiang Qian China

Mohammad Ali Balafar

722 ×0.9

CVPR

942 ×1.5

219 ×0.9

NEURO

62 ×0.3

410 ×2.7

RNMI

Citations per year, relative to Mohammad Ali Balafar Mohammad Ali Balafar (= 1×) peers Pengjiang Qian

Countries citing papers authored by Mohammad Ali Balafar

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Ali Balafar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ali Balafar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ali Balafar. A scholar is included among the top collaborators of Mohammad Ali Balafar 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 Ali Balafar. Mohammad Ali Balafar 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

Balafar, Mohammad Ali, et al.. (2025). Latent sparse subspace learning and visual domain classification via balanced distribution alignment and Hilbert–Schmidt metric. Pattern Analysis and Applications. 28(1). 1 indexed citations

Balafar, Mohammad Ali, et al.. (2025). Human embryo stage classification using an enhanced R(2 + 1)D model and dynamic programming with optimized datasets. Biomedical Signal Processing and Control. 107. 107841–107841. 2 indexed citations

Tanha, Jafar, et al.. (2025). A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events. IEEE Access. 13. 52085–52099. 1 indexed citations

Asadpour, Mohammad, et al.. (2025). ParNet: Joint image super-resolution and blind denoising with expanded residual blocks and multi-scale ghost-gated metaformers. Digital Signal Processing. 160. 105041–105041.

Balafar, Mohammad Ali, et al.. (2025). Revolutionizing textual data insights: A comprehensive review of the dual relationship between transformers and clustering in textual data analysis. Computer Science Review. 58. 100792–100792.

Tanha, Jafar, et al.. (2024). Neighborhood information based semi-supervised fuzzy C-means employing feature-weight and cluster-weight learning. Chaos Solitons & Fractals. 181. 114670–114670. 10 indexed citations

Balafar, Mohammad Ali, et al.. (2024). Adaptive deep learning models for efficient multivariate anomaly detection in IoT infrastructures. Applied Soft Computing. 167. 112377–112377. 3 indexed citations

Emami, Hojjat, Saeid Pashazadeh, & Mohammad Ali Balafar. (2023). A novel fuzzy-based algorithm for ONU placement in FiWi broadband access network. Optical Fiber Technology. 80. 103414–103414. 3 indexed citations

Emami, Hojjat & Mohammad Ali Balafar. (2023). A comparison framework to survey the ONU placement methods in FiWi access networks. Optical Fiber Technology. 79. 103341–103341. 3 indexed citations

10.

Oskouei, Amin Golzari, Mohammad Ali Balafar, & Cina Motamed. (2023). RDEIC-LFW-DSS: ResNet-based deep embedded image clustering using local feature weighting and dynamic sample selection mechanism. Information Sciences. 646. 119374–119374. 15 indexed citations

11.

Farzinvash, Leili, et al.. (2023). Trust-aware and energy-efficient data gathering in wireless sensor networks using PSO. Soft Computing. 10 indexed citations

12.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2023). Graph-Based Recommendation System Enhanced by Community Detection. Scientific Programming. 2023. 1–12. 2 indexed citations

13.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2023). Knowledge graph-based recommendation system enhanced by neural collaborative filtering and knowledge graph embedding. Ain Shams Engineering Journal. 15(1). 102263–102263. 33 indexed citations

14.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2022). A model to measure the spread power of rumors. Journal of Ambient Intelligence and Humanized Computing. 14(10). 13787–13811. 8 indexed citations

15.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2022). Automatic personality prediction: an enhanced method using ensemble modeling. Neural Computing and Applications. 34(21). 18369–18389. 18 indexed citations

16.

Ramezani, Majid, Mohammad‐Reza Feizi‐Derakhshi, & Mohammad Ali Balafar. (2022). Knowledge Graph-Enabled Text-Based Automatic Personality Prediction. Computational Intelligence and Neuroscience. 2022. 1–18. 1 indexed citations

17.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2022). Text-based automatic personality prediction using KGrAt-Net: a knowledge graph attention network classifier. Scientific Reports. 12(1). 21453–21453. 14 indexed citations

18.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2021). Topic Detection and Tracking Techniques on Twitter: A Systematic Review. Complexity. 2021(1). 22 indexed citations

19.

Feizi‐Derakhshi, Mohammad‐Reza, et al.. (2021). TopicBERT: A cognitive approach for topic detection from multimodal post stream using BERT and memory–graph. Chaos Solitons & Fractals. 151. 111274–111274. 17 indexed citations

20.

Balafar, Mohammad Ali, et al.. (2017). Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts. Genomics. 109(2). 91–107. 118 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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