Masum Shah Junayed

568 total citations
26 papers, 340 citations indexed

About

Masum Shah Junayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Dermatology. According to data from OpenAlex, Masum Shah Junayed has authored 26 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Dermatology. Recurrent topics in Masum Shah Junayed's work include Cutaneous Melanoma Detection and Management (5 papers), Acne and Rosacea Treatments and Effects (4 papers) and Advanced Image Processing Techniques (4 papers). Masum Shah Junayed is often cited by papers focused on Cutaneous Melanoma Detection and Management (5 papers), Acne and Rosacea Treatments and Effects (4 papers) and Advanced Image Processing Techniques (4 papers). Masum Shah Junayed collaborates with scholars based in Türkiye, Bangladesh and Malta. Masum Shah Junayed's co-authors include Md Baharul Islam, Arezoo Sadeghzadeh, Asif Karim, Bharanidharan Shanmugam, Sami Azam, A. F. M. Shahen Shah, Tarkan Aydın, Md. Tarek Habib, Md. Zahid Hasan and Pronab Ghosh and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Multimedia.

In The Last Decade

Masum Shah Junayed

25 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Masum Shah Junayed Türkiye 10 121 108 66 60 57 26 340
Zeeshan Abbas South Korea 14 77 0.6× 98 0.9× 98 1.5× 7 0.1× 50 0.9× 34 508
Ghadah Naif Alwakid Saudi Arabia 10 52 0.4× 71 0.7× 164 2.5× 10 0.2× 71 1.2× 38 351
Yunendah Nur Fuadah Indonesia 10 74 0.6× 66 0.6× 91 1.4× 8 0.1× 48 0.8× 36 359
Walaa Gouda Saudi Arabia 10 104 0.9× 163 1.5× 267 4.0× 26 0.4× 209 3.7× 16 501
Renjun Shuai China 8 140 1.2× 86 0.8× 153 2.3× 6 0.1× 60 1.1× 10 301
Ibtissam Bakkouri Morocco 8 115 1.0× 94 0.9× 150 2.3× 7 0.1× 59 1.0× 11 348
S. Mohan Kumar India 8 32 0.3× 23 0.2× 45 0.7× 12 0.2× 31 0.5× 57 297
Antesar Shabut United Kingdom 9 58 0.5× 39 0.4× 179 2.7× 59 1.0× 223 3.9× 14 433
S. M. Anzar India 9 77 0.6× 53 0.5× 67 1.0× 2 0.0× 44 0.8× 42 219
Antonio Acevedo Mexico 8 42 0.3× 31 0.3× 42 0.6× 16 0.3× 5 0.1× 43 228

Countries citing papers authored by Masum Shah Junayed

Since Specialization
Citations

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

Fields of papers citing papers by Masum Shah Junayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masum Shah Junayed. 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 Masum Shah Junayed. The network helps show where Masum Shah Junayed may publish in the future.

Co-authorship network of co-authors of Masum Shah Junayed

This figure shows the co-authorship network connecting the top 25 collaborators of Masum Shah Junayed. A scholar is included among the top collaborators of Masum Shah Junayed 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 Masum Shah Junayed. Masum Shah Junayed 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.
2.
Junayed, Masum Shah, et al.. (2023). Deep Neural Network-Based Ensemble Model for Eye Diseases Detection and Classification. SHILAP Revista de lepidopterología. 42(2). 77–91. 7 indexed citations
3.
Islam, Md Baharul, et al.. (2023). Acne Vulgaris Detection and Classification: A Dual Integrated Deep CNN Model. Informatica. 47(4). 6 indexed citations
4.
Sadeghzadeh, Arezoo, Masum Shah Junayed, Tarkan Aydın, & Md Baharul Islam. (2023). Hybrid CNN+Transformer for Diabetic Retinopathy Recognition and Grading. 1–6. 4 indexed citations
5.
Junayed, Masum Shah, Arezoo Sadeghzadeh, Md Baharul Islam, Lai-Kuan Wong, & Tarkan Aydın. (2022). HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 5208–5217. 5 indexed citations
6.
Junayed, Masum Shah & Md Baharul Islam. (2022). Automated Physical Distance Estimation and Crowd Monitoring Through Surveillance Video. SN Computer Science. 4(1). 67–67. 2 indexed citations
7.
Islam, Md Baharul, et al.. (2022). Stereoscopic video quality measurement with fine-tuning 3D ResNets. Multimedia Tools and Applications. 81(29). 42849–42869. 2 indexed citations
8.
Junayed, Masum Shah, et al.. (2022). A Transformer-Based Versatile Network for Acne Vulgaris Segmentation. 1–6. 3 indexed citations
9.
Junayed, Masum Shah & Md Baharul Islam. (2022). Consistent Video Inpainting Using Axial Attention-Based Style Transformer. IEEE Transactions on Multimedia. 25. 7494–7504. 9 indexed citations
10.
Islam, Md Baharul, et al.. (2022). Improving Image Compression With Adjacent Attention and Refinement Block. IEEE Access. 11. 17613–17625. 3 indexed citations
11.
Junayed, Masum Shah, et al.. (2021). CataractNet: An Automated Cataract Detection System Using Deep Learning for Fundus Images. IEEE Access. 9. 128799–128808. 80 indexed citations
12.
Junayed, Masum Shah, et al.. (2021). ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset. IEEE Access. 10. 1245–1258. 28 indexed citations
13.
Junayed, Masum Shah, et al.. (2021). A Deep CNN Model for Skin Cancer Detection and Classification. 71–80. 9 indexed citations
14.
Junayed, Masum Shah, et al.. (2021). Investigation of Different Machine Learning Algorithms to Determine Human Sentiment Using Twitter Data. International Journal of Information Technology and Computer Science. 13(2). 38–48. 14 indexed citations
15.
Karim, Asif, et al.. (2021). A Comparative Study of Different Deep Learning Model for Recognition of Handwriting Digits. SSRN Electronic Journal. 17 indexed citations
16.
Junayed, Masum Shah, Arezoo Sadeghzadeh, & Md Baharul Islam. (2021). Deep Covariance Feature and CNN-based End-to-End Masked Face Recognition. 1–8. 2 indexed citations
17.
Junayed, Masum Shah, et al.. (2020). SkNet: A Convolutional Neural Networks Based Classification Approach for Skin Cancer Classes. 1–6. 13 indexed citations
18.
Junayed, Masum Shah, et al.. (2020). EczemaNet: A Deep CNN-based Eczema Diseases Classification. 174–179. 27 indexed citations
19.
Junayed, Masum Shah, et al.. (2019). AcneNet - A Deep CNN Based Classification Approach for Acne Classes. Zenodo (CERN European Organization for Nuclear Research). 203–208. 57 indexed citations
20.
Junayed, Masum Shah, et al.. (2018). PassNet - Country Identification by Classifying Passport Cover Using Deep Convolutional Neural Networks. 19. 1–6. 6 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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