Deepak Banerjee

1.2k total citations
135 papers, 513 citations indexed

About

Deepak Banerjee is a scholar working on Plant Science, Analytical Chemistry and Computer Networks and Communications. According to data from OpenAlex, Deepak Banerjee has authored 135 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Plant Science, 21 papers in Analytical Chemistry and 14 papers in Computer Networks and Communications. Recurrent topics in Deepak Banerjee's work include Smart Agriculture and AI (60 papers), Spectroscopy and Chemometric Analyses (21 papers) and Leaf Properties and Growth Measurement (14 papers). Deepak Banerjee is often cited by papers focused on Smart Agriculture and AI (60 papers), Spectroscopy and Chemometric Analyses (21 papers) and Leaf Properties and Growth Measurement (14 papers). Deepak Banerjee collaborates with scholars based in India, United Arab Emirates and Iraq. Deepak Banerjee's co-authors include Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Vandana Sharma, Soumi Dutta, Kanwarpartap Singh Gill, Rahul Chauhan, Satvik Vats, Vijay Singh and Amit Gupta and has published in prestigious journals such as Multimedia Tools and Applications, The Indian Journal of Pediatrics and PubMed.

In The Last Decade

Deepak Banerjee

82 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Banerjee India 12 237 72 51 39 39 135 513
Huaji Zhu China 9 243 1.0× 71 1.0× 16 0.3× 67 1.7× 41 1.1× 30 399
Vishnu Kumar Kaliappan India 10 201 0.8× 98 1.4× 47 0.9× 60 1.5× 49 1.3× 51 449
Geeta Rani India 14 265 1.1× 88 1.2× 95 1.9× 52 1.3× 110 2.8× 58 643
Yanfeng Wang China 13 240 1.0× 92 1.3× 67 1.3× 11 0.3× 32 0.8× 26 425
Qian Yan China 9 156 0.7× 90 1.3× 23 0.5× 11 0.3× 30 0.8× 32 309
K. Ashokkumar India 8 140 0.6× 48 0.7× 27 0.5× 31 0.8× 42 1.1× 23 292
Mihaela Hnatiuc Romania 8 176 0.7× 56 0.8× 17 0.3× 44 1.1× 18 0.5× 56 406
Md. Tarek Habib Bangladesh 13 216 0.9× 101 1.4× 78 1.5× 10 0.3× 105 2.7× 60 559
Yiyan Lin United States 5 137 0.6× 32 0.4× 60 1.2× 32 0.8× 14 0.4× 14 301
Jia-Rong Kang Taiwan 9 155 0.7× 50 0.7× 28 0.5× 24 0.6× 35 0.9× 13 367

Countries citing papers authored by Deepak Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Banerjee

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Banerjee. A scholar is included among the top collaborators of Deepak Banerjee 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 Deepak Banerjee. Deepak Banerjee 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.
Banerjee, Deepak, Nagaratna B. Chittaragi, & Shashidhar G. Koolagudi. (2025). Video forgery localization using inter-frame denoising and intra-frame segmentation. Multimedia Tools and Applications. 84(31). 38269–38285.
2.
Shubham, Shubham, et al.. (2025). CNN-KNN Model for Assessing Hair Health in Telogen Effluvium. 1531–1537.
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Banerjee, Deepak, et al.. (2024). Enhancing Casting Quality: CNN-RF Fusion for Accurate Defect Identification. 1–5. 1 indexed citations
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Banerjee, Deepak, et al.. (2024). Predictive Modeling for Mold Material Defects Using CNN-Random Forest Fusion. 1–5. 1 indexed citations
6.
Banerjee, Deepak, et al.. (2024). Hybrid Modeling for Litchi Rust Disease Integral Phase Prediction. 52–57.
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Gupta, Sheifali, et al.. (2024). Hybrid CNN-SVM System for Multiclass Detection of Apple Leaf Diseases. 1–6. 1 indexed citations
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Banerjee, Deepak, et al.. (2024). Automated Welding Defect Recognition through Deep Learning Fusion: CNN and SVM Integration. 1–6. 1 indexed citations
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Banerjee, Deepak. (2024). Robust Car Damage Classification using CNN and KNN Algorithms. 1160–1165.
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Banerjee, Deepak, et al.. (2024). Intelligent Material Extrusion Defect Prediction: CNN-SVM Integration. 1–6. 1 indexed citations
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Banerjee, Deepak, et al.. (2023). Hybrid CNN & Random Forest Model for Effective Guava Leaf Disease Diagnosis. 1–6. 16 indexed citations
19.
Banerjee, Deepak, et al.. (2023). Enhancing Tulsi Leaf Disease with CNN and SVM-Based Classification. 2. 1–6. 1 indexed citations
20.
Banerjee, Deepak, et al.. (2023). A Hybrid CNN and Random Forest Approach for Wheat Disease Detection. 1–5. 2 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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