Mohammad Shorif Uddin

5.4k total citations · 1 hit paper
156 papers, 3.2k citations indexed

About

Mohammad Shorif Uddin is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Plant Science. According to data from OpenAlex, Mohammad Shorif Uddin has authored 156 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Vision and Pattern Recognition, 26 papers in Media Technology and 26 papers in Plant Science. Recurrent topics in Mohammad Shorif Uddin's work include Smart Agriculture and AI (22 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Vehicle License Plate Recognition (12 papers). Mohammad Shorif Uddin is often cited by papers focused on Smart Agriculture and AI (22 papers), Advanced Steganography and Watermarking Techniques (13 papers) and Vehicle License Plate Recognition (12 papers). Mohammad Shorif Uddin collaborates with scholars based in Bangladesh, Japan and India. Mohammad Shorif Uddin's co-authors include Morium Akter, Umme Sara, Mahbuba Begum, Tadayoshi Shioyama, M.N.A. Hawlader, Rafid Mostafiz, Md. Al Mamun, Md. Tarek Habib, Farruk Ahmed and Mohammad Motiur Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Express.

In The Last Decade

Mohammad Shorif Uddin

141 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

2019 943 citations Morium Akter, Mohammad Shorif Uddin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Shorif Uddin Bangladesh	26	1.3k	495	435	410	320	156	3.2k
Changming Sun Australia	38	2.3k 1.7×	580 1.2×	390 0.9×	603 1.5×	515 1.6×	243	4.8k
Domingo Mery Chile	38	1.3k 1.0×	424 0.9×	427 1.0×	166 0.4×	387 1.2×	195	5.0k
Menghan Hu China	25	552 0.4×	213 0.4×	229 0.5×	231 0.6×	347 1.1×	138	2.1k
Fernando De la Torre United States	31	1.6k 1.3×	652 1.3×	902 2.1×	210 0.5×	73 0.2×	90	4.3k
George A. Papakostas Greece	31	1.2k 0.9×	874 1.8×	410 0.9×	229 0.6×	77 0.2×	206	3.1k
Preetha Phillips United States	34	1.4k 1.0×	1.3k 2.6×	322 0.7×	243 0.6×	500 1.6×	58	4.0k
Paolo Napoletano Italy	26	1.4k 1.1×	655 1.3×	116 0.3×	202 0.5×	103 0.3×	108	2.7k
Weikuan Jia China	31	619 0.5×	684 1.4×	1.1k 2.4×	151 0.4×	82 0.3×	128	3.2k
Shuqiang Jiang China	36	2.6k 2.0×	948 1.9×	206 0.5×	218 0.5×	61 0.2×	233	4.1k
Khan A. Wahid Canada	30	1.0k 0.8×	259 0.5×	480 1.1×	164 0.4×	409 1.3×	201	3.3k

Countries citing papers authored by Mohammad Shorif Uddin

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Shorif Uddin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Shorif Uddin

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

Uddin, Mohammad Shorif, et al.. (2025). ONUBAD: A comprehensive dataset for automated conversion of Bangla regional dialects into standard Bengali dialect. Data in Brief. 58. 111276–111276.

Uddin, Mohammad Shorif, et al.. (2025). Artificial Intelligence-based Rice Variety Classification: A State-of-the-art Review and Future Directions. Smart Agricultural Technology. 10. 100788–100788. 7 indexed citations

Raihan, M., et al.. (2025). A Comprehensive Analysis of Classic Machine Learning and Deep Learning Modeling for Breed Recognition of Bananas. IEEE Access. 13. 194562–194579.

Mostafiz, Rafid, et al.. (2024). Deep learning-based edge detection for random natural images. SHILAP Revista de lepidopterología. 5(1). 100183–100183. 3 indexed citations

Uddin, Mohammad Shorif, et al.. (2024). Citrus leaf disease detection through deep learning approach. Bulletin of Electrical Engineering and Informatics. 13(4). 2643–2649. 3 indexed citations

Sharmin, Shayla, et al.. (2024). A dataset of color fundus images for the detection and classification of eye diseases. Data in Brief. 57. 110979–110979. 9 indexed citations

Bansal, Jagdish Chand & Mohammad Shorif Uddin. (2023). Computer Vision and Machine Learning in Agriculture, Volume 3. Algorithms for intelligent systems. 3 indexed citations

Ahmad, Mohiuddin, Mohammad Shorif Uddin, & Yeong Min Jang. (2023). Proceedings of International Conference on Information and Communication Technology for Development. 4 indexed citations

Khatun, Tania, et al.. (2023). An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes. Data in Brief. 51. 109688–109688. 8 indexed citations

10.

Whaiduzzaman, Md, et al.. (2023). MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning. IEEE Access. 11. 12342–12359. 24 indexed citations

11.

Khatun, Tania, et al.. (2023). A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit. Data in Brief. 52. 109936–109936. 22 indexed citations

12.

Uddin, Mohammad Shorif & Jagdish Chand Bansal. (2023). Proceedings of International Joint Conference on Advances in Computational Intelligence. Algorithms for intelligent systems. 9 indexed citations

13.

Zulfiker, Md. Sabab, et al.. (2022). Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context. Array. 15. 100204–100204. 26 indexed citations

14.

Bouakaz, Saïda, et al.. (2020). Component-based face recognition using statistical pattern matching analysis. Pattern Analysis and Applications. 24(1). 299–319. 13 indexed citations

15.

Rahman, Md. Asadur, Farzana Khanam, Mohiuddin Ahmad, & Mohammad Shorif Uddin. (2020). Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation. Brain Informatics. 7(1). 7–7. 34 indexed citations

16.

Rahman, Md. Asadur, Mohammad Shorif Uddin, & Mohiuddin Ahmad. (2019). Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network. Health Information Science and Systems. 7(1). 22–22. 25 indexed citations

17.

Rahman, Mohammad Motiur, et al.. (2015). Optimum Threshold Parameter Estimation of Bidimensional Empirical Mode Decomposition Using Fisher Discriminant Analysis for Speckle Noise Reduction. The International Arab Journal of Information Technology. 12. 456–464. 3 indexed citations

18.

Rahman, Mohammad Motiur, et al.. (2014). Optimum threshold parameter estimation of wavelet coefficients using fisher discriminant analysis for speckle noise reduction.. The International Arab Journal of Information Technology. 11. 573–581. 11 indexed citations

19.

Rahman, Md. Motiur, et al.. (2012). An Optimized Speckle Noise Reduction Filter For Ultrasound Images using Anisotropic Diffusion Technique. 8(2). 55–60. 4 indexed citations

20.

Uddin, Mohammad Shorif & Tadayoshi Shioyama. (2005). Detection of Pedestrian Crossing using Bipolarity and Projective Invariant. Machine Vision and Applications. 132–135. 4 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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