Koushlendra Kumar Singh

621 total citations
47 papers, 326 citations indexed

About

Koushlendra Kumar Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Koushlendra Kumar Singh has authored 47 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Koushlendra Kumar Singh's work include Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (8 papers) and Image and Signal Denoising Methods (7 papers). Koushlendra Kumar Singh is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), AI in cancer detection (8 papers) and Image and Signal Denoising Methods (7 papers). Koushlendra Kumar Singh collaborates with scholars based in India, United Kingdom and Malaysia. Koushlendra Kumar Singh's co-authors include Manish Kumar Bajpai, Onkar Singh, Rajesh K. Pandey, Suraj Kumar, Akbar Sheikh-Akbari, Ranjeet Kumar, O. P. Singh, Chandra Bhushan Tripathi, Michalis Zervakis and Prabhat Munshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Environmental Research and Public Health.

In The Last Decade

Koushlendra Kumar Singh

41 papers receiving 320 citations

Peers

Koushlendra Kumar Singh

RNMI

CVPR

PRM

Ziquan Zhu United Kingdom

Osama Farouk Hassan Egypt

Md. Zabirul Islam Bangladesh

Amanullah Asraf Bangladesh

M.A. Abo-Elsoud Egypt

He Sui China

David Charte Spain

Ali M. Hasan Iraq

Yuanda Zhu United States

Tej Bahadur Chandra India

Ziquan Zhu United Kingdom

Koushlendra Kumar Singh

240 ×2.0

RNMI

217 ×1.9

171 ×2.1

CVPR

41 ×1.0

PRM

11 ×0.3

Citations per year, relative to Koushlendra Kumar Singh Koushlendra Kumar Singh (= 1×) peers Ziquan Zhu

Countries citing papers authored by Koushlendra Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Koushlendra Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koushlendra Kumar Singh. 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 Koushlendra Kumar Singh. The network helps show where Koushlendra Kumar Singh may publish in the future.

Co-authorship network of co-authors of Koushlendra Kumar Singh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Singh, Koushlendra Kumar, et al.. (2025). A Combined Approach of Vision Transformer and Transfer Learning Based Model for Accurate Lung Cancer Classification. SN Computer Science. 6(5). 1 indexed citations

Singh, Onkar, et al.. (2024). Lung and Colon Cancer Classification of Histopathology Images Using Convolutional Neural Network. SN Computer Science. 5(2). 16 indexed citations

Liu, Xuan, et al.. (2024). Classification of Malaysian and Indonesian Batik Designs Using Deep Learning Models. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 16(4). 23–30. 1 indexed citations

Singh, Koushlendra Kumar, et al.. (2024). Study of Tokenization Strategies for the Santhali Language. SN Computer Science. 5(7). 1 indexed citations

Sheikh-Akbari, Akbar, et al.. (2024). Enhancing Vein Detection in Hyperspectral Images Using Correlation-PCA Fusion and Clustering. Leeds Beckett Repository (Leeds Beckett University). 37–41. 1 indexed citations

Sheikh-Akbari, Akbar, et al.. (2024). Hyperspectral Image Dimensionality Reduction Using Inter-Band Cross-Correlation and K-Means Clustering Algorithm. 1–6.

Sheikh-Akbari, Akbar, et al.. (2024). Vision Transformer Based Automated Model for Enhancing Lung Cancer Classification. Leeds Beckett Repository (Leeds Beckett University). 1–6. 1 indexed citations

Jha, Ashish Kumar, Onkar Singh, Koushlendra Kumar Singh, Akbar Sheikh-Akbari, & Masahiro Takei. (2024). An Integrated CNN-RNN-SVM Framework for Classification of MRI Brain Tumor Images. Leeds Beckett Repository (Leeds Beckett University). 1–6.

Sheikh-Akbari, Akbar, et al.. (2024). Ensemble-Based Hybrid Transfer Approach for an Effective 2D Ear Recognition System. IEEE Access. 12. 155733–155746.

10.

Singh, Onkar & Koushlendra Kumar Singh. (2023). An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method. International Journal of Information Technology. 15(8). 4149–4160. 37 indexed citations

11.

Pradhan, Jitesh, et al.. (2023). A vision transformer-based automated human identification using ear biometrics. Journal of Information Security and Applications. 78. 103599–103599. 7 indexed citations

12.

Singh, Koushlendra Kumar, et al.. (2023). Ensemble of transfer learning and light-weight convolutional neural network model for an effective ear recognition system. Evolving Systems. 15(1). 115–131. 4 indexed citations

13.

Singh, Koushlendra Kumar, et al.. (2023). Rotation Invariant 2D Ear Recognition Using Gabor Filters and Ensemble of Pre-trained Deep Convolutional Neural Network Model. 4 indexed citations

14.

Singh, Onkar, et al.. (2023). Classification of lung cancer from histopathology Images using a Deep Ensemble Classifier. Leeds Beckett Repository (Leeds Beckett University). 1–6. 4 indexed citations

15.

Singh, Koushlendra Kumar, et al.. (2023). An efficient ear recognition technique based on deep ensemble learning approach. Evolving Systems. 15(3). 771–787. 11 indexed citations

16.

Sheikh-Akbari, Akbar, et al.. (2023). Evaluation of Wavelets in Image Camera Source Identification. Leeds Beckett Repository (Leeds Beckett University). 1–6. 3 indexed citations

17.

Singh, Koushlendra Kumar, et al.. (2022). A Deep Learning-Based Approach to Detect Correct Suryanamaskara Pose. SN Computer Science. 3(5). 6 indexed citations

18.

Bajpai, Manish Kumar, et al.. (2021). Machine Vision and Augmented Intelligence—Theory and Applications. Lecture notes in electrical engineering. 9 indexed citations

19.

Singh, Koushlendra Kumar, et al.. (2020). Kalman filter based short term prediction model for COVID-19 spread. Applied Intelligence. 51(5). 2714–2726. 47 indexed citations

20.

Singh, Koushlendra Kumar, et al.. (2015). Parallel architecture based fast algorithm for image enhancement. 51. 1–6. 1 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.

Explore authors with similar magnitude of impact