Suresh Dara

1.4k total citations · 1 hit paper
31 papers, 790 citations indexed

About

Suresh Dara is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suresh Dara has authored 31 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suresh Dara's work include Gene expression and cancer classification (11 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Suresh Dara is often cited by papers focused on Gene expression and cancer classification (11 papers), Evolutionary Algorithms and Applications (8 papers) and Metaheuristic Optimization Algorithms Research (6 papers). Suresh Dara collaborates with scholars based in India, Saudi Arabia and United States. Suresh Dara's co-authors include Haider Banka, Surender Singh Jadav, Ch. Madhu Babu, Mohamed Jawed Ahsan, Chandra Sekhara Rao Annavarapu, Ankit Vidyarthi, Ghulam Muhammad, Debjani Ghosh, Deepak Gupta and Punit Gupta and has published in prestigious journals such as Scientific Reports, IEEE Internet of Things Journal and Pattern Recognition Letters.

In The Last Decade

Suresh Dara

27 papers receiving 761 citations

Hit Papers

Machine Learning in Drug Discovery: A Review 2021 2026 2022 2024 2021 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suresh Dara India 9 277 264 260 85 81 31 790
Dan Han China 8 231 0.8× 283 1.1× 114 0.4× 155 1.8× 117 1.4× 20 744
Carlos Fernández-Lozano Spain 19 400 1.4× 276 1.0× 121 0.5× 71 0.8× 97 1.2× 57 1.1k
Sean B. Holden United Kingdom 13 352 1.3× 394 1.5× 243 0.9× 83 1.0× 92 1.1× 26 1.1k
Junaid Baber Pakistan 18 425 1.5× 468 1.8× 305 1.2× 103 1.2× 232 2.9× 52 1.3k
Zhiming Zhang China 16 231 0.8× 97 0.4× 164 0.6× 70 0.8× 57 0.7× 65 756
Xiong Liu United States 15 568 2.1× 104 0.4× 88 0.3× 146 1.7× 62 0.8× 47 1.1k
Weibin Chen China 17 204 0.7× 57 0.2× 192 0.7× 96 1.1× 81 1.0× 61 869
Junjie Wang China 15 286 1.0× 234 0.9× 73 0.3× 84 1.0× 129 1.6× 70 659
Limin Li China 15 472 1.7× 177 0.7× 145 0.6× 45 0.5× 78 1.0× 84 1.0k
Tengfei Ma China 21 538 1.9× 472 1.8× 857 3.3× 158 1.9× 180 2.2× 96 1.7k

Countries citing papers authored by Suresh Dara

Since Specialization
Citations

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

Fields of papers citing papers by Suresh Dara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suresh Dara

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Dara. A scholar is included among the top collaborators of Suresh Dara 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 Suresh Dara. Suresh Dara 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.
Edla, Damodar Reddy, et al.. (2025). Cancer classification in high dimensional microarray gene expressions by feature selection using eagle prey optimization. Frontiers in Genetics. 16. 1528810–1528810. 1 indexed citations
2.
Rahat, Irfan Sadiq, Hritwik Ghosh, Suresh Dara, & Shashi Kant. (2025). Towards precision agriculture tea leaf disease detection using CNNs and image processing. Scientific Reports. 15(1). 17571–17571.
3.
Dara, Suresh, et al.. (2025). Fuzzy RNN Model-Based Classification of Alzheimer’s Disease and Dementia Using Brain EEG Signals. IEEE Transactions on Consumer Electronics. 71(2). 5559–5568.
4.
Dash, Priyanka, et al.. (2023). A fuzzy inference supportive social media market analysis for predicting crowd influence in national elections. Multimedia Tools and Applications. 83(13). 39371–39387.
5.
Dara, Suresh, et al.. (2023). Cardiovascular Disease Prediction Using Machine Learning Ap-proaches. 10(2). 133–135. 1 indexed citations
6.
Dara, Suresh, et al.. (2023). An Advanced Energy Management and Harvesting System for Network Lifetime for Industrial IoT in Smart Cities. IEEE Internet of Things Journal. 10(21). 18663–18671. 12 indexed citations
7.
Dara, Suresh, et al.. (2022). Nature Inspired Algorithms for Solving Multiple Sequence Alignment Problem: A Review. Archives of Computational Methods in Engineering. 29(7). 5237–5258. 5 indexed citations
8.
Dara, Suresh, et al.. (2022). Scalable Federated-Learning and Internet-of-Things enabled architecture for Chest Computer Tomography image classification. Computers & Electrical Engineering. 102. 108266–108266. 6 indexed citations
9.
Dara, Suresh, et al.. (2022). An Improved Chemical Reaction Optimization Approach for Solving Multiple Sequence Alignment Problem. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). 767–771. 1 indexed citations
10.
Dara, Suresh, et al.. (2021). Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach. Data Technologies and Applications. 56(2). 247–282. 8 indexed citations
11.
Annavarapu, Chandra Sekhara Rao, et al.. (2021). Clustering-based hybrid feature selection approach for high dimensional microarray data. Chemometrics and Intelligent Laboratory Systems. 213. 104305–104305. 24 indexed citations
12.
Dara, Suresh, et al.. (2021). Machine Learning in Drug Discovery: A Review. Artificial Intelligence Review. 55(3). 1947–1999. 403 indexed citations breakdown →
14.
Dara, Suresh, et al.. (2019). An Efficient Algorithm for Feature Selection Problem in Gene Expression Data: A Spider Monkey Optimization Approach. SSRN Electronic Journal. 2 indexed citations
15.
Dara, Suresh, et al.. (2019). An Efficient Algorithm for Feature Selection Problem in Gene Expression Data: A Spider Monkey Optimization Approach. SSRN Electronic Journal. 4 indexed citations
16.
Annavarapu, Chandra Sekhara Rao, et al.. (2017). A New Image Steganography Technique for Hiding the Data in Multi Layers of the PNG Images. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 2(7). 104–112. 1 indexed citations
17.
Dara, Suresh, Haider Banka, & Chandra Sekhara Rao Annavarapu. (2017). A Rough Based Hybrid Binary PSO Algorithm for Flat Feature Selection and Classification in Gene Expression Data. Annals of Data Science. 4(3). 341–360. 11 indexed citations
18.
Annavarapu, Chandra Sekhara Rao, Suresh Dara, & Haider Banka. (2016). Cancer microarray data feature selection using Multi-Objective Binary Particle Swarm Optimization algorithm. PubMed. 15. 460–473. 24 indexed citations
19.
Banka, Haider & Suresh Dara. (2014). Hamming Distance based Binary PSO for Feature Selection and Classification from high dimensional Gene Expression Data.. 507–514. 2 indexed citations
20.
Banka, Haider & Suresh Dara. (2012). Feature Selection and Classification for Gene Expression Data Using Evolutionary Computation. 11. 185–189. 5 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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