Standout Papers

A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation 2023 2026 2024159
  1. A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation (2023)
    Azal Ahmad Khan, Rohitash Chandra et al. Expert Systems with Applications

Immediate Impact

2 from Science/Nature 53 standout
Sub-graph 1 of 25

Citing Papers

Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
2025 Standout
Predicting Chlorophyll-a Concentrations in the World’s Largest Lakes Using Kolmogorov-Arnold Networks
2025 Standout
3 intermediate papers

Works of Rohitash Chandra being referenced

Deep learning via LSTM models for COVID-19 infection forecasting in India
2022
Evaluation of Deep Learning Models for Multi-Step Ahead Time Series Prediction
2021

Author Peers

Author Last Decade Papers Cites
Rohitash Chandra 836 146 87 222 210 77 1.7k
Emilio Soria‐Olivas 544 232 45 216 224 115 2.2k
Raghvendra Kumar 481 48 44 199 332 107 2.1k
Fabrice Rossi 562 53 66 115 176 69 1.8k
Wenjian Wang 569 51 129 427 159 87 1.7k
Eva Cernadas 672 91 50 160 125 47 2.2k
Deepak Gupta 854 65 40 187 183 86 1.7k
Gonzalo Nápoles 943 27 95 123 213 74 1.8k
Chilukuri K. Mohan 640 32 87 126 290 53 1.6k
Olufemi A. Omitaomu 418 39 9 160 229 65 1.3k
Mohammad Ghavamzadeh 1095 43 267 103 215 49 2.2k

All Works

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2026