Ankit Rajpal

434 total citations
25 papers, 266 citations indexed

About

Ankit Rajpal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ankit Rajpal has authored 25 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ankit Rajpal's work include AI in cancer detection (8 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Machine Learning and ELM (7 papers). Ankit Rajpal is often cited by papers focused on AI in cancer detection (8 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Machine Learning and ELM (7 papers). Ankit Rajpal collaborates with scholars based in India, Australia and Mexico. Ankit Rajpal's co-authors include Naveen Kumar, Anurag Mishra, Manoj Agarwal, Virendra Kumar, Khushwant Sehra, Anand Nayyar, Ajith Abraham, Kavita Kavita, Vishal Jain and Anshuman Gupta and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Ankit Rajpal

23 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Rajpal India 12 119 112 56 28 24 25 266
Nadia Brancati Italy 12 148 1.2× 173 1.5× 118 2.1× 37 1.3× 18 0.8× 23 363
Raj Kumar Singh India 5 96 0.8× 161 1.4× 120 2.1× 32 1.1× 13 0.5× 6 256
Baochuan Pang China 8 130 1.1× 228 2.0× 105 1.9× 16 0.6× 19 0.8× 31 323
Mohammad Peikari Canada 7 94 0.8× 175 1.6× 125 2.2× 21 0.8× 10 0.4× 13 276
Manish Sapkota United States 6 205 1.7× 258 2.3× 126 2.3× 28 1.0× 12 0.5× 10 392
Bin Xia China 8 111 0.9× 92 0.8× 113 2.0× 28 1.0× 9 0.4× 19 355
Rafael Llobet Spain 11 109 0.9× 175 1.6× 91 1.6× 10 0.4× 16 0.7× 35 305
Ghada Hamed Egypt 7 69 0.6× 135 1.2× 116 2.1× 37 1.3× 13 0.5× 9 225

Countries citing papers authored by Ankit Rajpal

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Rajpal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Rajpal

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Rajpal. A scholar is included among the top collaborators of Ankit Rajpal 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 Ankit Rajpal. Ankit Rajpal 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.
Rajpal, Ankit, et al.. (2025). A novel lightweight deep attention network for automated nuclei segmentation in histopathology images. Neurocomputing. 649. 130797–130797. 1 indexed citations
2.
Rajpal, Ankit, et al.. (2025). Explaining Fuhrman Grading using Deep Convolutional-Driven Features of Renal Cell Carcinoma. Procedia Computer Science. 258. 2140–2149.
3.
4.
Gupta, Anshuman, et al.. (2024). Deep Learning-based NSCLC Classification from Whole-Slide Images: Leveraging Expectation-Maximization and InceptionV3. Procedia Computer Science. 235. 2422–2433. 2 indexed citations
5.
Rajpal, Ankit, et al.. (2023). XLR-Net: Explainable AI-driven improved L 1 -regularized deep neural architecture for NSCLC biomarker identification. Computational Biology and Chemistry. 108. 107990–107990. 2 indexed citations
6.
Rajpal, Ankit, et al.. (2023). CXRmark: A Watermarking Scheme for Chest X-Rays Using Online Sequential Reduced Kernel ELM. Circuits Systems and Signal Processing. 43(2). 965–993. 1 indexed citations
7.
Rajpal, Ankit, et al.. (2023). I-FLASH: Interpretable Fake News Detector Using LIME and SHAP. Wireless Personal Communications. 131(4). 2841–2874. 11 indexed citations
8.
Rajpal, Ankit, et al.. (2023). An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification. Computers in Biology and Medicine. 153. 106544–106544. 35 indexed citations
9.
Kavita, Kavita, et al.. (2023). I-LDD: an interpretable leaf disease detector. Soft Computing. 28(3). 2517–2533. 5 indexed citations
10.
Rajpal, Ankit, Khushwant Sehra, Anurag Mishra, & Girija Chetty. (2023). A low-resolution real-time face recognition using extreme learning machine and its variants. The Imaging Science Journal. 71(5). 456–471. 2 indexed citations
11.
Rajpal, Ankit, et al.. (2023). Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning. Computer Methods and Programs in Biomedicine. 243. 107864–107864. 16 indexed citations
12.
Rajpal, Ankit, et al.. (2023). XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data. Expert Systems with Applications. 225. 120130–120130. 25 indexed citations
13.
Rajpal, Ankit, et al.. (2023). XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes. Biomedical Signal Processing and Control. 84. 104979–104979. 18 indexed citations
14.
Rajpal, Ankit, et al.. (2022). XAI-FR: Explainable AI-Based Face Recognition Using Deep Neural Networks. Wireless Personal Communications. 129(1). 663–680. 14 indexed citations
15.
Rajpal, Ankit, et al.. (2022). A Comprehensive Review on Digital Image Watermarking. arXiv (Cornell University). 6 indexed citations
16.
Rajpal, Ankit, et al.. (2022). MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM. Expert Systems with Applications. 200. 116860–116860. 20 indexed citations
17.
Rajpal, Ankit, et al.. (2022). ROSEmark: Robust semi-blind ECG watermarking scheme using SWT-DCT framework. Digital Signal Processing. 129. 103648–103648. 15 indexed citations
18.
Rajpal, Ankit, et al.. (2018). A Novel fuzzy frame selection based watermarking scheme for MPEG-4 videos using Bi-directional extreme learning machine. Applied Soft Computing. 74. 603–620. 27 indexed citations
19.
Rajpal, Ankit, et al.. (2017). Fast digital watermarking of uncompressed colored images using bidirectional extreme learning machine. 1. 1361–1366. 4 indexed citations
20.

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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