Refat Khan Pathan

457 total citations
15 papers, 215 citations indexed

About

Refat Khan Pathan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Refat Khan Pathan has authored 15 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Refat Khan Pathan's work include Speech and Audio Processing (2 papers), AI in cancer detection (2 papers) and Music and Audio Processing (2 papers). Refat Khan Pathan is often cited by papers focused on Speech and Audio Processing (2 papers), AI in cancer detection (2 papers) and Music and Audio Processing (2 papers). Refat Khan Pathan collaborates with scholars based in Malaysia, Bangladesh and Saudi Arabia. Refat Khan Pathan's co-authors include Munmun Biswas, Mayeen Uddin Khandaker, Mohammad Rashed Iqbal Faruque, Abdelmoneim Sulieman, Mahadi Hasan Miraz, Nurul Absar, Sian Lun Lau, Nissren Tamam, Hanan Aljuaid and Md. Imtiaz Uddin and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Refat Khan Pathan

14 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Refat Khan Pathan Malaysia 7 84 51 33 33 32 15 215
M.A. Abo-Elsoud Egypt 6 169 2.0× 163 3.2× 10 0.3× 30 0.9× 42 1.3× 19 331
Manoj Sharma India 10 141 1.7× 106 2.1× 16 0.5× 36 1.1× 13 0.4× 28 330
Tarik Alafif Saudi Arabia 9 157 1.9× 104 2.0× 26 0.8× 14 0.4× 18 0.6× 21 303
Sidney Marlon Lopes de Lima Brazil 8 112 1.3× 67 1.3× 55 1.7× 11 0.3× 6 0.2× 18 191
Mete Yağanoğlu Türkiye 10 79 0.9× 68 1.3× 28 0.8× 3 0.1× 31 1.0× 35 252
Abu Quwsar Ohi Bangladesh 11 193 2.3× 45 0.9× 83 2.5× 7 0.2× 4 0.1× 17 342
Khalid El Asnaoui Portugal 6 177 2.1× 273 5.4× 9 0.3× 15 0.5× 18 0.6× 16 359
Jin Uk Heo United States 4 139 1.7× 199 3.9× 3 0.1× 14 0.4× 19 0.6× 5 280
A. H. M. Kamal Bangladesh 11 54 0.6× 67 1.3× 3 0.1× 45 1.4× 24 0.8× 35 290
T. Kar India 7 81 1.0× 76 1.5× 34 1.0× 3 0.1× 7 0.2× 28 225

Countries citing papers authored by Refat Khan Pathan

Since Specialization
Citations

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

Fields of papers citing papers by Refat Khan Pathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Refat Khan Pathan. 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 Refat Khan Pathan. The network helps show where Refat Khan Pathan may publish in the future.

Co-authorship network of co-authors of Refat Khan Pathan

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

All Works

15 of 15 papers shown
1.
Pathan, Refat Khan, et al.. (2024). The efficacy of machine learning models in lung cancer risk prediction with explainability. PLoS ONE. 19(6). e0305035–e0305035. 4 indexed citations
2.
Wong, Richard T.K., et al.. (2024). Semantic Liquid Spray Understanding With Computer-Generated Images. IEEE Access. 12. 39968–39977.
3.
Pathan, Refat Khan, et al.. (2023). Monkeypox genome mutation analysis using a timeseries model based on long short-term memory. PLoS ONE. 18(8). e0290045–e0290045. 5 indexed citations
4.
Pathan, Refat Khan, et al.. (2023). Impact on mental health due to COVID-19 pandemic: A cross-sectional study in Bangladesh. SHILAP Revista de lepidopterología. 6. 42–52. 3 indexed citations
5.
Wong, Richard T.K., et al.. (2023). Performance Assessment of U-Net for Semantic Segmentation of Liquid Spray Images with Gaussian Blurring. 462–467. 1 indexed citations
6.
7.
Abuzaid, Mohamed, et al.. (2023). Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study. SHILAP Revista de lepidopterología. 16(2). 100570–100570. 4 indexed citations
8.
Pathan, Refat Khan, et al.. (2022). Breast Cancer Classification by Using Multi-Headed Convolutional Neural Network Modeling. Healthcare. 10(12). 2367–2367. 18 indexed citations
9.
Absar, Nurul, Mayeen Uddin Khandaker, Mahadi Hasan Miraz, et al.. (2022). The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction. Healthcare. 10(6). 1137–1137. 38 indexed citations
10.
Pathan, Refat Khan, et al.. (2022). Experimental Analysis of U-Net and Mask R-CNN for Segmentation of Synthetic Liquid Spray. 237–242. 5 indexed citations
11.
Pathan, Refat Khan, et al.. (2021). Gender and region detection from human voice using the three-layer feature extraction method with 1D CNN. Journal of Information and Telecommunication. 6(1). 27–42. 16 indexed citations
12.
Pathan, Refat Khan, Munmun Biswas, & Mayeen Uddin Khandaker. (2020). Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model. Chaos Solitons & Fractals. 138. 110018–110018. 77 indexed citations
13.
Pathan, Refat Khan, et al.. (2020). Gender Recognition from Human Voice using Multi-Layer Architecture. 1–7. 18 indexed citations
14.
Pathan, Refat Khan, et al.. (2020). Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition. Sensors. 20(18). 5391–5391. 16 indexed citations
15.
Biswas, Munmun, et al.. (2020). Shortest Path Based Trained Indoor Smart Jacket Navigation System for Visually Impaired Person. 1. 228–235. 9 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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