Debendra Muduli

890 total citations
44 papers, 396 citations indexed

About

Debendra Muduli is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Debendra Muduli has authored 44 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Debendra Muduli's work include Brain Tumor Detection and Classification (11 papers), Digital Imaging for Blood Diseases (6 papers) and Retinal Imaging and Analysis (6 papers). Debendra Muduli is often cited by papers focused on Brain Tumor Detection and Classification (11 papers), Digital Imaging for Blood Diseases (6 papers) and Retinal Imaging and Analysis (6 papers). Debendra Muduli collaborates with scholars based in India, Lebanon and Saudi Arabia. Debendra Muduli's co-authors include Banshidhar Majhi, Ratnakar Dash, Rakesh Ranjan Kumar, Nikhat Parveen, Jitesh Pradhan, Abhinav Kumar, Santosh Kumar Sharma, Amerah Alabrah, Sultan M. Alanazi and Rojalina Priyadarshini and has published in prestigious journals such as Scientific Reports, IEEE Access and Neural Computing and Applications.

In The Last Decade

Debendra Muduli

30 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debendra Muduli India 7 250 171 109 106 38 44 396
Talha Meraj Pakistan 13 219 0.9× 240 1.4× 34 0.3× 122 1.2× 22 0.6× 24 576
Khalid Masood Khan Saudi Arabia 7 120 0.5× 97 0.6× 111 1.0× 92 0.9× 52 1.4× 10 321
J. Dheeba India 9 315 1.3× 230 1.3× 60 0.6× 185 1.7× 13 0.3× 25 496
Saeed Ali Bahaj Saudi Arabia 10 100 0.4× 107 0.6× 39 0.4× 83 0.8× 34 0.9× 25 307
Awais Mehmood Pakistan 9 195 0.8× 158 0.9× 161 1.5× 225 2.1× 14 0.4× 23 549
Enas M. F. El Houby Egypt 11 347 1.4× 270 1.6× 73 0.7× 111 1.0× 6 0.2× 17 509
Nabiha Azizi Algeria 11 235 0.9× 91 0.5× 19 0.2× 103 1.0× 14 0.4× 47 356
Saif Ur Rehman Khan China 13 136 0.5× 112 0.7× 134 1.2× 106 1.0× 11 0.3× 31 363
N. Veeranjaneyulu India 12 184 0.7× 278 1.6× 139 1.3× 240 2.3× 10 0.3× 34 578

Countries citing papers authored by Debendra Muduli

Since Specialization
Citations

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

Fields of papers citing papers by Debendra Muduli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debendra Muduli. 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 Debendra Muduli. The network helps show where Debendra Muduli may publish in the future.

Co-authorship network of co-authors of Debendra Muduli

This figure shows the co-authorship network connecting the top 25 collaborators of Debendra Muduli. A scholar is included among the top collaborators of Debendra Muduli 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 Debendra Muduli. Debendra Muduli 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.
Kaushik, Amit, et al.. (2025). An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining. Results in Engineering. 27. 106046–106046.
3.
Muduli, Debendra, et al.. (2025). Deep learning-based detection and classification of acute lymphoblastic leukemia with explainable AI techniques. Array. 26. 100397–100397. 3 indexed citations
4.
Majhi, Santosh Kumar, Nikhat Parveen, Raju Anitha, et al.. (2025). Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach. Results in Engineering. 26. 105084–105084. 1 indexed citations
5.
Muduli, Debendra, et al.. (2025). Improved prediction of software defect: A particle swarm optimization based ELM approach. e-Prime - Advances in Electrical Engineering Electronics and Energy. 13. 101081–101081.
6.
Gupta, Indrajeet, Rakesh Ranjan Kumar, Debendra Muduli, Satyasis Mishra, & Smita Parija. (2025). A Machine Learning Approach for Credit Card Fraud Detection using Feature Engineering and Ensemble Models. 1–6.
7.
Muduli, Debendra, et al.. (2024). Refined Software Defect Prediction Using Enhanced JAYA Optimization and Extreme Learning Machine. IEEE Access. 12. 141559–141579. 7 indexed citations
9.
Muduli, Debendra, et al.. (2024). SIDNet: A SQL Injection Detection Network for Enhancing Cybersecurity. IEEE Access. 12. 176511–176526. 1 indexed citations
10.
Muduli, Debendra, et al.. (2024). Automated Road Extraction from Aerial Images: A Generative Approach with W-FuseNet Model. 1–6. 1 indexed citations
12.
Muduli, Debendra, et al.. (2024). Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine. Scientific Reports. 14(1). 29660–29660. 3 indexed citations
13.
Muduli, Debendra, Adyasha Rath, S. Dash, et al.. (2024). Discrete ripplet-II transform feature extraction and metaheuristic-optimized feature selection for enhanced glaucoma detection in fundus images using least square-support vector machine. Multimedia Tools and Applications. 84(23). 26447–26479. 3 indexed citations
16.
Majhi, Santosh Kumar, et al.. (2024). Deep Learning Fusion Ensemble for Enhanced Traffic Sign Detection Using the ICTS Dataset. 1–5. 2 indexed citations
17.
Sharma, Santosh Kumar, Debendra Muduli, Rojalina Priyadarshini, et al.. (2023). An evolutionary supply chain management service model based on deep learning features for automated glaucoma detection using fundus images. Engineering Applications of Artificial Intelligence. 128. 107449–107449. 20 indexed citations
18.
Muduli, Debendra, et al.. (2023). Deep-GlaucomaNet: A Deep Learning based Approach for Glaucoma Detection in Fundus Images. 1–6. 2 indexed citations
19.
Muduli, Debendra, Rakesh Ranjan Kumar, Jitesh Pradhan, & Abhinav Kumar. (2023). An empirical evaluation of extreme learning machine uncertainty quantification for automated breast cancer detection. Neural Computing and Applications. 37(12). 7909–7924. 15 indexed citations
20.
Muduli, Debendra, Ratnakar Dash, & Banshidhar Majhi. (2021). Automated diagnosis of breast cancer using multi-modal datasets: A deep convolution neural network based approach. Biomedical Signal Processing and Control. 71. 102825–102825. 110 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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