Anuja Bhargava

1.5k total citations · 4 hit papers
25 papers, 939 citations indexed

About

Anuja Bhargava is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anuja Bhargava has authored 25 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 10 papers in Analytical Chemistry and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anuja Bhargava's work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and Advanced Chemical Sensor Technologies (4 papers). Anuja Bhargava is often cited by papers focused on Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers) and Advanced Chemical Sensor Technologies (4 papers). Anuja Bhargava collaborates with scholars based in India, South Korea and Thailand. Anuja Bhargava's co-authors include Atul Bansal, Vishal Goyal, Mohammed H. Alsharif, Peerapong Uthansakul, Monthippa Uthansakul, Ashish Sachdeva, Kulbhushan Sharma, Aasheesh Shukla, Diwakar Agarwal and Malika Sharma and has published in prestigious journals such as IEEE Access, Sustainability and Heliyon.

In The Last Decade

Anuja Bhargava

22 papers receiving 877 citations

Hit Papers

align trajectories

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.

Fruits and vegetables quality evaluation using computer vision: A review

2018 402 citations Anuja Bhargava, Atul Bansal Journal of King Saud University - Computer and Information Sciences profile →
Hyperspectral imaging and its applications: A review

2024 69 citations Anuja Bhargava, Ashish Sachdeva et al. Heliyon profile →
Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review

2024 45 citations Anuja Bhargava, Aasheesh Shukla et al. IEEE Access profile →
Artificial intelligence in agriculture: applications, approaches, and adversities across pre-harvesting, harvesting, and post-harvesting phases

2025 14 citations Anuja Bhargava et al. Iran Journal of Computer Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anuja Bhargava India	13	566	429	145	95	89	25	939
Mohammad Momeny Iran	15	375 0.7×	309 0.7×	119 0.8×	129 1.4×	107 1.2×	19	843
Atul Bansal India	18	519 0.9×	400 0.9×	141 1.0×	186 2.0×	86 1.0×	59	1.2k
J.M. Prats-Montalbán Spain	19	281 0.5×	531 1.2×	183 1.3×	94 1.0×	116 1.3×	55	1.1k
D. Lorente Spain	13	400 0.7×	845 2.0×	362 2.5×	53 0.6×	153 1.7×	15	1.2k
Mingfang He China	16	566 1.0×	254 0.6×	59 0.4×	72 0.8×	20 0.2×	49	889
Qiufeng Wu China	17	991 1.8×	399 0.9×	43 0.3×	77 0.8×	26 0.3×	44	1.3k
Sajad Sabzi Iran	22	745 1.3×	625 1.5×	174 1.2×	29 0.3×	120 1.3×	61	1.1k
Kunshan Yao China	24	280 0.5×	888 2.1×	422 2.9×	37 0.4×	133 1.5×	49	1.4k
Laijun Sun China	16	233 0.4×	527 1.2×	172 1.2×	48 0.5×	90 1.0×	68	885

Countries citing papers authored by Anuja Bhargava

Since Specialization

Citations

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

Fields of papers citing papers by Anuja Bhargava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anuja Bhargava

This figure shows the co-authorship network connecting the top 25 collaborators of Anuja Bhargava. A scholar is included among the top collaborators of Anuja Bhargava 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 Anuja Bhargava. Anuja Bhargava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Bhargava, Anuja, et al.. (2025). Enhancing breast cancer classification: a few-shot meta-learning framework with DenseNet-121 for improved diagnosis. Iran Journal of Computer Science. 8(4). 1485–1502.

Sharma, Dilip Kumar, et al.. (2025). 3SW-Net: A Feature Fusion Network for Semantic Weed Detection in Precision Agriculture. Food Analytical Methods. 18(10). 2241–2257. 6 indexed citations

Bhargava, Anuja, et al.. (2025). Artificial intelligence in agriculture: applications, approaches, and adversities across pre-harvesting, harvesting, and post-harvesting phases. Iran Journal of Computer Science. 8(3). 749–772. 14 indexed citations breakdown →

Bhargava, Anuja, Diwakar Agarwal, Mohammed H. Alsharif, et al.. (2024). Deep Learning-Based Truthful and Deceptive Hotel Reviews. Sustainability. 16(11). 4514–4514. 4 indexed citations

Bhargava, Anuja, Ashish Sachdeva, Kulbhushan Sharma, et al.. (2024). Hyperspectral imaging and its applications: A review. Heliyon. 10(12). e33208–e33208. 69 indexed citations breakdown →

Bhargava, Anuja, et al.. (2024). Corrections to “Plant Leaf Disease Detection, Classification and Diagnosis Using Computer Vision and Artificial Intelligence: A Review”. IEEE Access. 12. 162607–162607.

Yadav, Dinesh Kumar, et al.. (2024). Design and parametric characterization of CNTFET based stable static random access memory bit-cell for low-power applications. AEU - International Journal of Electronics and Communications. 190. 155642–155642. 5 indexed citations

Bhargava, Anuja, et al.. (2024). Hyperspectral Imaging and its Applications: A Review. SSRN Electronic Journal. 2 indexed citations

Shukla, Aasheesh, et al.. (2024). Optimal design of digital low-pass filters using multiverse optimization. Journal of Electrical Engineering. 75(4). 253–257.

10.

Agarwal, Diwakar & Anuja Bhargava. (2024). On-tree fruit detection system using Darknet-19 based SSD network. Journal of Food Measurement & Characterization. 18(8). 7067–7076. 12 indexed citations

11.

Sachdeva, Ashish, Kulbhushan Sharma, Anuja Bhargava, & Erfan Abbasian. (2024). A CNTFET based stable, single-ended 7T SRAM cell with improved write operation. Physica Scripta. 99(3). 35011–35011. 11 indexed citations

12.

Bhargava, Anuja, Atul Bansal, Vishal Goyal, & Aasheesh Shukla. (2023). Machine learning & computer vision-based optimum black tea fermentation detection. Multimedia Tools and Applications. 82(28). 43335–43347. 7 indexed citations

13.

Bhargava, Anuja, Atul Bansal, & Vishal Goyal. (2022). Machine learning-based automatic detection of novel coronavirus (COVID-19) disease. Multimedia Tools and Applications. 81(10). 13731–13750. 28 indexed citations

14.

Bhargava, Anuja, et al.. (2022). Multi-level Segmentation of Fruits Using Modified Firefly Algorithm. Food Analytical Methods. 15(11). 2891–2900. 4 indexed citations

15.

Bhargava, Anuja, et al.. (2022). A review on tea quality and safety using emerging parameters. Journal of Food Measurement & Characterization. 16(2). 1291–1311. 18 indexed citations

16.

Bhargava, Anuja & Atul Bansal. (2021). Novel coronavirus (COVID-19) diagnosis using computer vision and artificial intelligence techniques: a review. Multimedia Tools and Applications. 80(13). 19931–19946. 43 indexed citations

17.

Bhargava, Anuja & Atul Bansal. (2021). Classification and Grading of Multiple Varieties of Apple Fruit. Food Analytical Methods. 14(7). 1359–1368. 49 indexed citations

18.

Bhargava, Anuja & Atul Bansal. (2020). Machine learning based quality evaluation of mono-colored apples. Multimedia Tools and Applications. 79(31-32). 22989–23006. 23 indexed citations

19.

Bhargava, Anuja & Atul Bansal. (2018). Fruits and vegetables quality evaluation using computer vision: A review. Journal of King Saud University - Computer and Information Sciences. 33(3). 243–257. 402 indexed citations breakdown →

20.

Sharma, Malika & Anuja Bhargava. (2016). Chaos based image encryption using two step iterated logistic map. 1–5. 8 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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