Md Junayed Hasan

1.2k total citations
38 papers, 828 citations indexed

About

Md Junayed Hasan is a scholar working on Mechanical Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Md Junayed Hasan has authored 38 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 10 papers in Control and Systems Engineering and 8 papers in Civil and Structural Engineering. Recurrent topics in Md Junayed Hasan's work include Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (6 papers) and COVID-19 diagnosis using AI (5 papers). Md Junayed Hasan is often cited by papers focused on Machine Fault Diagnosis Techniques (9 papers), Fault Detection and Control Systems (6 papers) and COVID-19 diagnosis using AI (5 papers). Md Junayed Hasan collaborates with scholars based in United Kingdom, South Korea and Bangladesh. Md Junayed Hasan's co-authors include Jong-Myon Kim, M. M. Manjurul Islam, Muhammad Sohaib, Zahoor Ahmad, Akhand Rai, Ali Rohan, Prajoy Podder, M. Rubaiyat Hossain Mondal, Jia Uddin and Subrato Bharati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Md Junayed Hasan

33 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md Junayed Hasan United Kingdom 15 395 262 147 135 75 38 828
Xiao Yu China 18 388 1.0× 251 1.0× 154 1.0× 93 0.7× 58 0.8× 75 948
Xiaohu Li China 17 328 0.8× 449 1.7× 103 0.7× 69 0.5× 86 1.1× 60 878
Zuozhou Pan China 11 600 1.5× 385 1.5× 194 1.3× 83 0.6× 61 0.8× 28 758
Haotian Shi China 14 241 0.6× 239 0.9× 82 0.6× 105 0.8× 37 0.5× 26 950
Alberto Rodríguez Spain 14 375 0.9× 122 0.5× 68 0.5× 92 0.7× 28 0.4× 60 697
Sanjay V. Dudul India 13 285 0.7× 135 0.5× 90 0.6× 148 1.1× 23 0.3× 54 664
Shuanfeng Zhao China 13 228 0.6× 226 0.9× 96 0.7× 76 0.6× 75 1.0× 53 617
Xiaohua Li China 14 438 1.1× 181 0.7× 82 0.6× 168 1.2× 15 0.2× 38 891
Yu Xin China 16 564 1.4× 353 1.3× 214 1.5× 83 0.6× 62 0.8× 40 713
Yehu Shen China 18 502 1.3× 305 1.2× 177 1.2× 135 1.0× 35 0.5× 62 926

Countries citing papers authored by Md Junayed Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Md Junayed Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md Junayed Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Md Junayed Hasan. A scholar is included among the top collaborators of Md Junayed Hasan 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 Md Junayed Hasan. Md Junayed Hasan 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.
Rohan, Ali, Muhammad Saad Rafaq, Md Junayed Hasan, et al.. (2024). Application of deep learning for livestock behaviour recognition: A systematic literature review. Computers and Electronics in Agriculture. 224. 109115–109115. 29 indexed citations
2.
Petrovski, Andrei, et al.. (2024). Graph-Variational Convolutional Autoencoder-Based Fault Detection and Diagnosis for Photovoltaic Arrays. Machines. 12(12). 894–894. 5 indexed citations
3.
Haque, Rezaul, et al.. (2024). Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning. SHILAP Revista de lepidopterología. 4(2). 966–991. 11 indexed citations
4.
Podder, Prajoy, M. Rubaiyat Hossain Mondal, Somasundar Kannan, et al.. (2023). Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis. SHILAP Revista de lepidopterología. 3(4). 1124–1144. 42 indexed citations
5.
Haque, Rezaul, et al.. (2023). Data-Driven Solution to Identify Sentiments from Online Drug Reviews. Computers. 12(4). 87–87. 14 indexed citations
6.
Podder, Prajoy, et al.. (2023). Rethinking Densely Connected Convolutional Networks for Diagnosing Infectious Diseases. Computers. 12(5). 95–95. 14 indexed citations
7.
Uddin, Md. Ashraf, et al.. (2023). Person Recognition Based on Deep Gait: A Survey. Sensors. 23(10). 4875–4875. 9 indexed citations
8.
Sohaib, Muhammad, et al.. (2022). Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence. International Journal of Environmental Research and Public Health. 19(20). 13256–13256. 4 indexed citations
9.
Hasan, Md Junayed, M. M. Manjurul Islam, & Jong-Myon Kim. (2021). Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. Sensors. 22(1). 56–56. 26 indexed citations
10.
Hasan, Md Junayed, Akhand Rai, Zahoor Ahmad, & Jong-Myon Kim. (2021). A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning. IEEE Access. 9. 58052–58066. 38 indexed citations
11.
Hasan, Md Junayed, et al.. (2021). A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals. IEEE Access. 9. 104029–104050. 13 indexed citations
12.
Rai, Akhand, Zahoor Ahmad, Md Junayed Hasan, & Jong-Myon Kim. (2021). A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov–Smirnov Test. Sensors. 21(24). 8247–8247. 19 indexed citations
13.
Ahmad, Zahoor, Akhand Rai, Md Junayed Hasan, Cheol Hong Kim, & Jong-Myon Kim. (2021). A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis. IEEE Access. 9. 150128–150141. 10 indexed citations
14.
Hasan, Md Junayed, Jae‐Young Kim, Cheol Hong Kim, & Jong-Myon Kim. (2020). Health State Classification of a Spherical Tank Using a Hybrid Bag of Features and K-Nearest Neighbor. Applied Sciences. 10(7). 2525–2525. 13 indexed citations
15.
Hasan, Md Junayed, Dongkoo Shon, Kichang Im, et al.. (2020). Sleep State Classification Using Power Spectral Density and Residual Neural Network with Multichannel EEG Signals. Applied Sciences. 10(21). 7639–7639. 37 indexed citations
16.
Hasan, Md Junayed, Muhammad Sohaib, & Jong-Myon Kim. (2020). A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions. Sensors. 20(24). 7205–7205. 28 indexed citations
17.
Hasan, Md Junayed & Jong-Myon Kim. (2019). A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals. Brain Sciences. 9(12). 376–376. 52 indexed citations
18.
Hasan, Md Junayed & Jong-Myon Kim. (2019). Fault Detection of a Spherical Tank Using a Genetic Algorithm-Based Hybrid Feature Pool and k-Nearest Neighbor Algorithm. Energies. 12(6). 991–991. 34 indexed citations
19.
Hasan, Md Junayed, et al.. (2019). Acoustic spectral imaging and transfer learning for reliable bearing fault diagnosis under variable speed conditions. Measurement. 138. 620–631. 160 indexed citations
20.
Hasan, Md Junayed & Jong-Myon Kim. (2018). Bearing Fault Diagnosis under Variable Rotational Speeds Using Stockwell Transform-Based Vibration Imaging and Transfer Learning. Applied Sciences. 8(12). 2357–2357. 92 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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