Debashree Devi

574 total citations
17 papers, 412 citations indexed

About

Debashree Devi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Accounting. According to data from OpenAlex, Debashree Devi has authored 17 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 4 papers in Accounting. Recurrent topics in Debashree Devi's work include Imbalanced Data Classification Techniques (10 papers), Electricity Theft Detection Techniques (7 papers) and Financial Distress and Bankruptcy Prediction (4 papers). Debashree Devi is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Electricity Theft Detection Techniques (7 papers) and Financial Distress and Bankruptcy Prediction (4 papers). Debashree Devi collaborates with scholars based in India, Lebanon and United States. Debashree Devi's co-authors include Biswajit Purkayastha, Saroj Kr. Biswas, Manomita Chakraborty, Saroj Biswas, Seifedine Kadry, Suyel Namasudra, Sujit Kumar and Akhil Das and has published in prestigious journals such as Pattern Recognition Letters, Journal of Network and Computer Applications and Soft Computing.

In The Last Decade

Debashree Devi

15 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debashree Devi India 10 291 107 63 56 44 17 412
Tuanfei Zhu China 8 373 1.3× 126 1.2× 45 0.7× 32 0.6× 35 0.8× 17 473
Rosa María Valdovinos Rosas Mexico 9 366 1.3× 172 1.6× 56 0.9× 63 1.1× 19 0.4× 31 463
Shang Zheng China 9 266 0.9× 70 0.7× 72 1.1× 19 0.3× 38 0.9× 24 376
Chenxi Li China 12 280 1.0× 93 0.9× 31 0.5× 23 0.4× 42 1.0× 46 467
Bhagat Singh Raghuwanshi India 11 387 1.3× 111 1.0× 28 0.4× 44 0.8× 23 0.5× 19 463
Andres Folleco United States 9 185 0.6× 60 0.6× 92 1.5× 24 0.4× 46 1.0× 13 336
Prabhjot Kaur India 11 153 0.5× 52 0.5× 41 0.7× 18 0.3× 29 0.7× 48 294
Yousef Abdi Iran 6 196 0.7× 35 0.3× 56 0.9× 11 0.2× 43 1.0× 11 368
Sinem Kulluk Türkiye 11 218 0.7× 48 0.4× 38 0.6× 16 0.3× 17 0.4× 20 398
Stamatios-Aggelos N. Alexandropoulos Greece 4 192 0.7× 66 0.6× 32 0.5× 9 0.2× 25 0.6× 5 396

Countries citing papers authored by Debashree Devi

Since Specialization
Citations

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

Fields of papers citing papers by Debashree Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashree Devi

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

All Works

17 of 17 papers shown
1.
Devi, Debashree, et al.. (2025). AZO-FMRGAformer: a hybrid model for cloud resource allocation using transformer-based time-series forecasting. Signal Image and Video Processing. 19(9).
2.
3.
Devi, Debashree, et al.. (2024). HRMF-DRP: A next-generation solution for overcoming provisioning challenges in cloud environments. Journal of Network and Computer Applications. 231. 103982–103982. 1 indexed citations
4.
5.
Devi, Debashree, et al.. (2024). Analysis of EEG signal to classify mental state using stacking ensemble classifier. AIP conference proceedings. 3097. 20248–20248. 1 indexed citations
6.
Devi, Debashree, et al.. (2021). Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance. Journal of Experimental & Theoretical Artificial Intelligence. 34(1). 143–174. 9 indexed citations
7.
Devi, Debashree, et al.. (2020). Privacy Preserving Analytics in Outsourced Healthcare System. International Journal of Innovative Technology and Exploring Engineering. 9(9). 329–333. 1 indexed citations
8.
Devi, Debashree, Saroj Biswas, & Biswajit Purkayastha. (2020). A Review on Solution to Class Imbalance Problem: Undersampling Approaches. 626–631. 45 indexed citations
9.
Biswas, Saroj Kr., et al.. (2020). An Oversampling Technique by Integrating Reverse Nearest Neighbor in SMOTE: Reverse-SMOTE. 1239–1244. 15 indexed citations
10.
Devi, Debashree, Suyel Namasudra, & Seifedine Kadry. (2020). A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem. International Journal of Data Warehousing and Mining. 16(3). 60–86. 34 indexed citations
11.
Devi, Debashree, et al.. (2019). A Boosting based Adaptive Oversampling Technique for Treatment of Class Imbalance. 1–7. 4 indexed citations
12.
Devi, Debashree, et al.. (2019). Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique. Connection Science. 31(2). 105–142. 50 indexed citations
13.
Devi, Debashree, et al.. (2019). A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection. 1–6. 25 indexed citations
14.
Biswas, Saroj Kr., Debashree Devi, & Manomita Chakraborty. (2018). A Hybrid Case Based Reasoning Model for Classification in Internet of Things (IoT) Environment. Journal of Organizational and End User Computing. 30(4). 104–122. 43 indexed citations
15.
Kumar, Sujit, Saroj Kr. Biswas, & Debashree Devi. (2018). TLUSBoost algorithm: a boosting solution for class imbalance problem. Soft Computing. 23(21). 10755–10767. 21 indexed citations
16.
Devi, Debashree, Saroj Kr. Biswas, & Biswajit Purkayastha. (2016). Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance. Pattern Recognition Letters. 93. 3–12. 138 indexed citations
17.
Biswas, Saroj Kr., et al.. (2016). Hybrid case-based reasoning system by cost-sensitive neural network for classification. Soft Computing. 21(24). 7579–7596. 23 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

Breakdown of academic impact, for papers by Tuanfei Zhu Breakdown of academic impact, for papers by Rosa María Valdovinos Rosas Breakdown of academic impact, for papers by Shang Zheng Breakdown of academic impact, for papers by Chenxi Li Breakdown of academic impact, for papers by Bhagat Singh Raghuwanshi Breakdown of academic impact, for papers by Andres Folleco Breakdown of academic impact, for papers by Prabhjot Kaur Breakdown of academic impact, for papers by Yousef Abdi Breakdown of academic impact, for papers by Sinem Kulluk Breakdown of academic impact, for papers by Stamatios-Aggelos N. Alexandropoulos
Rankless by CCL
2026