Varun Ojha

1.4k total citations · 1 hit paper
50 papers, 785 citations indexed

About

Varun Ojha is a scholar working on Artificial Intelligence, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Varun Ojha has authored 50 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Biomedical Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Varun Ojha's work include Advanced Chemical Sensor Technologies (7 papers), Neural Networks and Applications (7 papers) and Evolutionary Algorithms and Applications (5 papers). Varun Ojha is often cited by papers focused on Advanced Chemical Sensor Technologies (7 papers), Neural Networks and Applications (7 papers) and Evolutionary Algorithms and Applications (5 papers). Varun Ojha collaborates with scholars based in United Kingdom, Czechia and India. Varun Ojha's co-authors include Václav Snåšel, Ajith Abraham, Giuseppe Nicosia, Rémy Vandaele, Sarah L. Dance, Paramartha Dutta, Hiranmay Saha, Gerhard Schmitt, Sugato Ghosh and Reinhard König and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Varun Ojha

43 papers receiving 757 citations

Hit Papers

Metaheuristic design of feedforward neural networks: A re... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Metaheuristic design of feedforward neural networks: A review of two decades of research
    2017 425 citations Varun Ojha, Ajith Abraham et al. Engineering Applications of Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Varun Ojha United Kingdom 10 267 100 80 77 69 50 785
William Lefebvre France 5 256 1.0× 126 1.3× 89 1.1× 65 0.8× 48 0.7× 13 830
Arnaud De Myttenaere France 2 153 0.6× 189 1.9× 61 0.8× 55 0.7× 68 1.0× 2 936
Boris Golden France 3 153 0.6× 189 1.9× 61 0.8× 55 0.7× 68 1.0× 5 945
Fengxiang Jin China 12 259 1.0× 79 0.8× 73 0.9× 139 1.8× 79 1.1× 55 815
Greg Van Houdt Belgium 3 289 1.1× 229 2.3× 125 1.6× 105 1.4× 54 0.8× 4 1.2k
Nguyen Van Thieu Vietnam 13 253 0.9× 110 1.1× 57 0.7× 51 0.7× 60 0.9× 34 634
K. Gnana Sheela India 9 211 0.8× 276 2.8× 111 1.4× 59 0.8× 98 1.4× 26 971
Boriana L. Milenova United States 7 398 1.5× 132 1.3× 170 2.1× 91 1.2× 80 1.2× 11 1.1k
Grazia Lo Sciuto Italy 18 178 0.7× 236 2.4× 75 0.9× 106 1.4× 55 0.8× 83 1.1k
Chunyang Su China 11 378 1.4× 186 1.9× 167 2.1× 117 1.5× 112 1.6× 21 1.2k

Countries citing papers authored by Varun Ojha

Since Specialization
Citations

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

Fields of papers citing papers by Varun Ojha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Ojha

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Ojha. A scholar is included among the top collaborators of Varun Ojha 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 Varun Ojha. Varun Ojha 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.
Ojha, Varun, et al.. (2026). Enhancing sampling performance in XGBoost by ensemble feature engineering. Pattern Recognition. 176. 113169–113169.
2.
Snåšel, Václav, et al.. (2025). Analysis of deep learning under adversarial attacks in hierarchical federated learning. SHILAP Revista de lepidopterología. 5(4). 100321–100321. 1 indexed citations
3.
Qiu, Xin, Haoran Duan, Tejal Shah, et al.. (2025). D 2 Fusion: Dual-domain fusion with feature superposition for Deepfake detection. Information Fusion. 120. 103087–103087. 5 indexed citations
4.
5.
Vandaele, Rémy, Sarah L. Dance, & Varun Ojha. (2024). Deep learning for automated trash screen blockage detection using cameras: Actionable information for flood risk management. Journal of Hydroinformatics. 26(4). 889–903. 1 indexed citations
6.
Suganthan, Ponnuthurai Nagaratnam, et al.. (2024). Euclidean and Poincaré space ensemble Xgboost. Information Fusion. 115. 102746–102746. 2 indexed citations
7.
Duan, Haoran, Shidong Wang, Varun Ojha, et al.. (2024). Wearable-based behaviour interpolation for semi-supervised human activity recognition. Information Sciences. 665. 120393–120393. 7 indexed citations
8.
Duan, Haoran, Varun Ojha, Tejal Shah, et al.. (2024). Dual Variational Knowledge Attention for Class Incremental Vision Transformer. 1–8.
9.
Nicosia, Giuseppe, et al.. (2024). Machine Learning, Optimization, and Data Science. Lecture notes in computer science. 3 indexed citations
10.
Snåšel, Václav, Martin Štěpnička, Varun Ojha, et al.. (2023). Large-scale data classification based on the integrated fusion of fuzzy learning and graph neural network. Information Fusion. 102. 102067–102067. 8 indexed citations
11.
Vandaele, Rémy, Sarah L. Dance, & Varun Ojha. (2023). Calibrated river-level estimation from river cameras using convolutional neural networks. SHILAP Revista de lepidopterología. 2. 4 indexed citations
12.
Amezcua, Javier, et al.. (2023). Supervised machine learning to estimate instabilities in chaotic systems: Estimation of local Lyapunov exponents. Quarterly Journal of the Royal Meteorological Society. 149(753). 1236–1262. 4 indexed citations
13.
14.
Ojha, Varun, Bartolomeo Pantò, & Giuseppe Nicosia. (2022). Adaptive search space decomposition method for pre- and post-buckling analyses of space truss structures. Engineering Applications of Artificial Intelligence. 117. 105593–105593. 2 indexed citations
15.
Ojha, Varun, et al.. (2022). Pareto optimal metabolic engineering for the growth‐coupled overproduction of sustainable chemicals. Biotechnology and Bioengineering. 119(7). 1890–1902. 9 indexed citations
16.
Nicosia, Giuseppe, et al.. (2022). Machine Learning, Optimization, and Data Science. Lecture notes in computer science. 2 indexed citations
17.
Vandaele, Rémy, Sarah L. Dance, & Varun Ojha. (2021). Deep learning for automated river-level monitoring through river-camera images: an approach based on water segmentation and transfer learning. Hydrology and earth system sciences. 25(8). 4435–4453. 39 indexed citations
18.
Schneider, Sven, Saskia Kuliga, Varun Ojha, et al.. (2019). Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form. ISPRS International Journal of Geo-Information. 8(2). 52–52. 7 indexed citations
19.
Ojha, Varun, Konrad Jackowski, Ajith Abraham, & Václav Snåšel. (2015). Dimensionality reduction, and function approximation of poly(lactic-co-glycolic acid) micro- and nanoparticle dissolution rate. International Journal of Nanomedicine. 10. 1119–1119. 5 indexed citations
20.
Ojha, Varun, Paramartha Dutta, Hiranmay Saha, & Sugato Ghosh. (2012). Linear regression based statistical approach for detecting proportion of component gases in manhole gas mixture. 1. 17–20. 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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