J. Anitha

649 total citations
26 papers, 408 citations indexed

About

J. Anitha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Neurology. According to data from OpenAlex, J. Anitha has authored 26 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 6 papers in Neurology. Recurrent topics in J. Anitha's work include AI in cancer detection (6 papers), Brain Tumor Detection and Classification (5 papers) and EEG and Brain-Computer Interfaces (5 papers). J. Anitha is often cited by papers focused on AI in cancer detection (6 papers), Brain Tumor Detection and Classification (5 papers) and EEG and Brain-Computer Interfaces (5 papers). J. Anitha collaborates with scholars based in India, Romania and Vietnam. J. Anitha's co-authors include D. Jude Hemanth, Daniela Elena Popescu, Lê Hoàng Sơn, Antoanela Naaji, M. Kalpana Chowdary, Oana Geman, Anju Asokan, R. Manikandan, Amir H. Gandomi and Rizwan Patan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and British Journal of Ophthalmology.

In The Last Decade

J. Anitha

23 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Anitha India 10 147 101 96 71 66 26 408
Xujing Yao United Kingdom 8 179 1.2× 95 0.9× 201 2.1× 82 1.2× 165 2.5× 11 617
Oumaima Saidani Saudi Arabia 15 113 0.8× 79 0.8× 200 2.1× 37 0.5× 67 1.0× 58 521
Asim Munir Pakistan 10 245 1.7× 167 1.7× 186 1.9× 21 0.3× 134 2.0× 21 486
Xingqun Qi China 11 197 1.3× 27 0.3× 94 1.0× 54 0.8× 168 2.5× 29 459
Praveen Sankaran India 12 290 2.0× 22 0.2× 124 1.3× 47 0.7× 79 1.2× 39 455
Abdelmalik Taleb‐Ahmed France 14 212 1.4× 24 0.2× 165 1.7× 56 0.8× 166 2.5× 50 627
C. Jiménez-Mesa Spain 9 101 0.7× 71 0.7× 138 1.4× 93 1.3× 120 1.8× 14 449
Kiran Kumar Patro India 14 124 0.8× 81 0.8× 102 1.1× 144 2.0× 70 1.1× 24 502
Mahbubul Alam United States 9 78 0.5× 63 0.6× 89 0.9× 70 1.0× 63 1.0× 28 311

Countries citing papers authored by J. Anitha

Since Specialization
Citations

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

Fields of papers citing papers by J. Anitha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Anitha

This figure shows the co-authorship network connecting the top 25 collaborators of J. Anitha. A scholar is included among the top collaborators of J. Anitha 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 J. Anitha. J. Anitha 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.
Deshpande, Anand, Vania V. Estrela, J. Anitha, & D. Jude Hemanth. (2025). Computational intelligence in neuroinformatics: Technologies and data analytics. SHILAP Revista de lepidopterología. 5(1). 100187–100187. 4 indexed citations
2.
Anitha, J., et al.. (2025). Enhancing performance of Parallel Hybrid Electric Vehicles using Powell's Artificial Bee Colony method. Heliyon. 11(3). e42325–e42325. 1 indexed citations
3.
Anitha, J., et al.. (2025). CNLNet: Enhancing MRI Brain Image Denoising Using a Convolutional Neural Network with Integrated Non-Local Means Layer. BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE. 16(2). 335–352.
4.
Anitha, J., et al.. (2022). Comparative Analysis of Melanoma Classification Using Deep Learning Techniques on Dermoscopy Images. Electronics. 11(18). 2918–2918. 11 indexed citations
5.
Anitha, J., et al.. (2022). A Survey on Computer-Aided Intelligent Methods to Identify and Classify Skin Cancer. Informatics. 9(4). 99–99. 2 indexed citations
6.
Anitha, J., et al.. (2022). Diagnosis of coronary artery occlusion by fitting polynomial curve with the ECG signal based on optimization techniques. Network Modeling Analysis in Health Informatics and Bioinformatics. 11(1). 3 indexed citations
7.
Chowdary, M. Kalpana, J. Anitha, & D. Jude Hemanth. (2022). Emotion Recognition from EEG Signals Using Recurrent Neural Networks. Electronics. 11(15). 2387–2387. 60 indexed citations
8.
Jamil, Muhammad Mahadi Abdul, et al.. (2022). Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video. Journal of Intelligent & Fuzzy Systems. 44(1). 353–364. 9 indexed citations
9.
Anitha, J., et al.. (2021). Convolutional neural-network-based classification of retinal images with different combinations of filtering techniques. Open Computer Science. 11(1). 480–490. 8 indexed citations
10.
Anitha, J., et al.. (2021). Review of Computational Techniques for the Analysis of Abnormal Patterns of ECG Signal Provoked by Cardiac Disease. Computer Modeling in Engineering & Sciences. 128(3). 875–906. 4 indexed citations
11.
Anitha, J., et al.. (2021). Hyperspectral and multispectral image fusion techniques for high resolution applications: a review. Earth Science Informatics. 14(4). 1685–1705. 55 indexed citations
12.
Anitha, J., et al.. (2021). An automatic screening approach for obstructive sleep apnea from photoplethysmograph using machine learning techniques. TELKOMNIKA (Telecommunication Computing Electronics and Control). 19(4). 1260–1260. 5 indexed citations
13.
Anitha, J., et al.. (2020). Machine learning-based left ventricular hypertrophy detection using multi-lead ECG signal. Neural Computing and Applications. 33(9). 4445–4455. 26 indexed citations
14.
Anitha, J., et al.. (2019). Study of angle of anterior chamber in patients with Type 2 Diabetes Mellitus. 4(1). 38–41. 1 indexed citations
15.
Hemanth, D. Jude, J. Anitha, Daniela Elena Popescu, & Lê Hoàng Sơn. (2018). A modified genetic algorithm for performance improvement of transform based image steganography systems. Journal of Intelligent & Fuzzy Systems. 35(1). 197–209. 21 indexed citations
16.
Anitha, J., et al.. (2018). Identification of Melanoma in Dermoscopy Images Using Image Processing Algorithms. 553–557. 15 indexed citations
17.
Hemanth, D. Jude, et al.. (2017). Fusion of artificial neural networks for learning capability enhancement: Application to medical image classification. Expert Systems. 34(6). 8 indexed citations
18.
Hemanth, D. Jude, et al.. (2016). Diabetic Retinopathy Diagnosis in Retinal Images Using Hopfield Neural Network. IETE Journal of Research. 62(6). 893–900. 4 indexed citations
19.
Hemanth, D. Jude, J. Anitha, & Valentina Emilia Bălaş. (2015). Performance Improved Hybrid Intelligent System for Medical Image Classification. 1–5. 6 indexed citations
20.
Anitha, J., et al.. (2011). Automated multi-level pathology identification techniques for abnormal retinal images using artificial neural networks. British Journal of Ophthalmology. 96(2). 220–223. 10 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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