Anuja Bhargava
Impact in
- Analytical Chemistry top 0.5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 5%
- Smart Agriculture and AI
- Date Palm Research Studies
- Leaf Properties and Growth Measurement
- Postharvest Quality and Shelf Life Management
Papers in
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- Smart Agriculture and AI 11
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- Spectroscopy and Chemometric Analyses 9
- Co-authors
- Atul Bansal (10 shared papers)Vishal Goyal (4 shared papers)Mohammed H. Alsharif (4 shared papers)Monthippa Uthansakul (5 shared papers)Peerapong Uthansakul (5 shared papers)Ashish Sachdeva (4 shared papers)Kulbhushan Sharma (3 shared papers)Nidhi Upadhyay (3 shared papers)
- Journals
- Multimedia Tools and Applications (6 papers)Food Analytical Methods (5 papers)IEEE Access (2 papers)Sustainability (1 paper)Heliyon (1 paper)
- Partner nations
- IndiaThailandSouth Korea
In The Last Decade
Anuja Bhargava
22 papers receiving 958 citations
Anuja Bhargava's Hit Papers
Peers
Comparison fields: 5 of 98
- Analytical Chemistry 443
- Plant Science 596
- Industrial and Manufacturing Engineering 90
- Health Informatics 9
- Food Science 92
Countries citing papers authored by Anuja Bhargava
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
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-authors
The 14 scholars most cited alongside Anuja Bhargava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fruits and vegetables quality evaluation using computer vision: A review Hit paper breakdown → | 2018 | 418 |
| 2 | 2019 | 86 | |
| 3 | Hyperspectral imaging and its applications: A review Hit paper breakdown → | 2024 | 84 |
| 4 | Plant Leaf Disease Detection, Classification, and Diagnosis Using Computer Vision and Artificial Intelligence: A Review Hit paper breakdown → | 2024 | 55 |
| 5 | 2021 | 54 | |
| 6 | 2021 | 50 | |
| 7 | 2021 | 44 | |
| 8 | 2020 | 30 | |
| 9 | 2022 | 28 | |
| 10 | 2022 | 27 | |
| 11 | 2020 | 24 | |
| 12 | Artificial intelligence in agriculture: applications, approaches, and adversities across pre-harvesting, harvesting, and post-harvesting phases Hit paper breakdown → | 2025 | 22 |
| 13 | 2022 | 19 | |
| 14 | 2024 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2025 | 11 | |
| 17 | 2023 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2024 | 4 |
About Anuja Bhargava
Anuja Bhargava is a scholar working on Plant Science, Analytical Chemistry, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Advanced Chemical Sensor Technologies (4 papers), COVID-19 diagnosis using AI (3 papers), Remote-Sensing Image Classification (3 papers), Industrial Vision Systems and Defect Detection (3 papers), AI in cancer detection (3 papers) and Digital Imaging for Blood Diseases (2 papers). The work is most often cited by research in Analytical Chemistry (443 citations), Plant Science (596 citations), Industrial and Manufacturing Engineering (90 citations), Health Informatics (9 citations) and Food Science (92 citations). Anuja Bhargava has collaborated with scholars based in India, Thailand and South Korea. Frequent co-authors include Atul Bansal, Vishal Goyal, Mohammed H. Alsharif, Monthippa Uthansakul, Peerapong Uthansakul, Ashish Sachdeva, Kulbhushan Sharma, Nidhi Upadhyay, Aasheesh Shukla and Diwakar Agarwal. Their work appears in journals such as Multimedia Tools and Applications, Food Analytical Methods, IEEE Access, Sustainability and Heliyon.
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.