Neeru Jindal

1.9k total citations · 1 hit paper
87 papers, 1.2k citations indexed

About

Neeru Jindal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics. According to data from OpenAlex, Neeru Jindal has authored 87 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 10 papers in Applied Mathematics. Recurrent topics in Neeru Jindal's work include Digital Media Forensic Detection (18 papers), Image and Signal Denoising Methods (17 papers) and Advanced Steganography and Watermarking Techniques (14 papers). Neeru Jindal is often cited by papers focused on Digital Media Forensic Detection (18 papers), Image and Signal Denoising Methods (17 papers) and Advanced Steganography and Watermarking Techniques (14 papers). Neeru Jindal collaborates with scholars based in India, Finland and Türkiye. Neeru Jindal's co-authors include Reecha Sharma, Neha Sharma, Kulbir Singh, Abhishek Thakur, Amit Aggarwal, Prashant Singh Rana, Preeti Sharma, Manoj Kumar, Santosh Kumar and Harpreet Singh and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Signal Processing.

In The Last Decade

Neeru Jindal

81 papers receiving 1.1k citations

Hit Papers

Machine Learning and Deep Learning Applications-A Vision 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neeru Jindal India 17 530 171 134 125 114 87 1.2k
Hongru Li China 23 230 0.4× 282 1.6× 67 0.5× 101 0.8× 110 1.0× 183 1.7k
Duncan Gillies United Kingdom 17 383 0.7× 394 2.3× 50 0.4× 61 0.5× 149 1.3× 70 1.6k
Jiawei Zhang China 18 219 0.4× 431 2.5× 88 0.7× 73 0.6× 43 0.4× 75 1.4k
Wenjia Wang China 16 504 1.0× 257 1.5× 168 1.3× 35 0.3× 39 0.3× 67 1.1k
Mingqiang Li China 15 388 0.7× 460 2.7× 164 1.2× 80 0.6× 90 0.8× 46 1.3k
Weiping Zhu China 17 139 0.3× 106 0.6× 137 1.0× 172 1.4× 223 2.0× 96 994
Filippo Palumbo Italy 22 369 0.7× 166 1.0× 38 0.3× 94 0.8× 317 2.8× 75 1.6k
Zhongyi Hu China 27 275 0.5× 563 3.3× 66 0.5× 524 4.2× 423 3.7× 123 2.2k
Hong Pan China 16 254 0.5× 160 0.9× 33 0.2× 76 0.6× 14 0.1× 119 804

Countries citing papers authored by Neeru Jindal

Since Specialization
Citations

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

Fields of papers citing papers by Neeru Jindal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeru Jindal

This figure shows the co-authorship network connecting the top 25 collaborators of Neeru Jindal. A scholar is included among the top collaborators of Neeru Jindal 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 Neeru Jindal. Neeru Jindal 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.
Jindal, Neeru, Ashish Kumar, Manas Ranjan Dikhit, et al.. (2025). A comparative analysis of Orientia Tsutsugamushi (Scrub Typhus): Essential information on causes, symptoms, and care. Clinical Microbiology Newsletter. 50. 34–40. 2 indexed citations
2.
Sahoo, Ganesh Chandra, et al.. (2025). Review of mechanisms and impacts of nanoplastic toxicity in aquatic organisms and potential impacts on human health. Toxicology Reports. 14. 102013–102013. 15 indexed citations
3.
Jindal, Neeru, et al.. (2024). Passive Image Forgery Detection Techniques: A Review, Challenges, and Future Directions. Wireless Personal Communications. 134(3). 1491–1529. 5 indexed citations
4.
Gupta, Sheifali, et al.. (2024). Deep learning-based comprehensive review on pulmonary tuberculosis. Neural Computing and Applications. 36(12). 6513–6530. 5 indexed citations
5.
Sharma, Neha & Neeru Jindal. (2023). Emerging artificial intelligence applications: metaverse, IoT, cybersecurity, healthcare - an overview. Multimedia Tools and Applications. 83(19). 57317–57345. 10 indexed citations
6.
Jindal, Neeru, et al.. (2023). QRFODD: Quaternion Riesz fractional order directional derivative for color image edge detection. Signal Processing. 212. 109170–109170. 6 indexed citations
7.
Gupta, Sheifali, et al.. (2023). Segmentation Techniques for Detection of Tuberculosis Using Deep Learning: A Review. 44. 1–6. 2 indexed citations
8.
Singh, Ashutosh Kumar, et al.. (2023). Systematic survey on generative adversarial networks for brain tumor segmentation and classification. Concurrency and Computation Practice and Experience. 35(27). 3 indexed citations
9.
Jindal, Neeru, et al.. (2023). Camera Based Wearable Devices: A Strategic Survey from 2010 to 2021. Wireless Personal Communications. 133(1). 667–681. 1 indexed citations
10.
Singh, Harpreet, et al.. (2022). U-DAVIS-Deep Learning Based Arm Venous Image Segmentation Technique for Venipuncture. Computational Intelligence and Neuroscience. 2022. 1–9. 4 indexed citations
11.
Sharma, Neha, Reecha Sharma, & Neeru Jindal. (2021). Prediction of face age progression with generative adversarial networks. Multimedia Tools and Applications. 80(25). 33911–33935. 15 indexed citations
12.
Rana, Prashant Singh, et al.. (2020). A novel approach for detecting roundabouts in maps based on analysis of core map data. Multimedia Tools and Applications. 79(41-42). 30785–30811. 1 indexed citations
13.
Jindal, Neeru, et al.. (2020). Fractional Fourier Transform based Riesz fractional derivative approach for edge detection and its application in image enhancement. Signal Processing. 180. 107852–107852. 40 indexed citations
14.
Jindal, Neeru, et al.. (2019). CBNWI-50: A Deep Learning Bird Dataset for Image Translation and Resolution Improvement using Generative Adversarial Network. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 91–102. 2 indexed citations
15.
Thakur, Abhishek & Neeru Jindal. (2018). Image forensics using color illumination, block and key point based approach. Multimedia Tools and Applications. 77(19). 26033–26053. 9 indexed citations
16.
Jindal, Neeru, et al.. (2014). RAPID DIAGNOSIS OF TYPHOID FEVER-A COMPARATIVE STUDY OF TYPHIDOT AND WIDAL TEST. International Journal of Bioassays. 3(11). 3438–3440. 2 indexed citations
17.
Jindal, Neeru & Kulbir Singh. (2013). Video Compression-Encryption using Three Dimensional Discrete Fractional Transforms. Research Journal of Applied Sciences Engineering and Technology. 5(14). 3678–3683. 1 indexed citations
18.
Mittal, Dinesh, et al.. (2011). Diagnosis of the inclusion body hepatitis-hydropericardium syndrome using conventional techniques.. Haryana Veterinarian. 50. 53–56. 1 indexed citations
19.
Jindal, Neeru, et al.. (2009). HCV Infection Among Healthy Blood Donors and Risk Groups in North. Libyan Journal of Medicine. 4(2). 1 indexed citations
20.
Jindal, Neeru, et al.. (2005). A pilot seroepidemiological study of cytomegalovirus infection in women of child bearing age. Indian Journal of Medical Microbiology. 23(1). 34–34. 38 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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