Deepak Banerjee

1.3k citations
141 papers · 567 · h-index 12

Impact in

  • Analytical Chemistry top 5%
    • Spectroscopy and Chemometric Analyses
  • Plant Science top 10%
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Banana Cultivation and Research

Papers in

  • Plant Science 74
    • Smart Agriculture and AI 64
    • Leaf Properties and Growth Measurement 15
    • Plant Disease Management Techniques 10
    • Plant Virus Research Studies 9
  • Analytical Chemistry 22
    • Spectroscopy and Chemometric Analyses 22
Co-authors
Vinay Kukreja (39 shared papers)Shanmugasundaram Hariharan (15 shared papers)Vishal Jain (11 shared papers)Vandana Sharma (3 shared papers)Soumi Dutta (3 shared papers)Kanwarpartap Singh Gill (22 shared papers)Rahul Chauhan (29 shared papers)Satvik Vats (5 shared papers)
Journals
The Indian Journal of Pediatrics (2 papers)PubMed (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
Partner nations
IndiaUnited Arab EmiratesSaudi Arabia

In The Last Decade

Deepak Banerjee

92 papers receiving 557 citations

Peers

Deepak Banerjee
Comparison fields: 5 of 92
  • Analytical Chemistry 76
  • Plant Science 255
  • Industrial and Manufacturing Engineering 36
  • Computer Vision and Pattern Recognition 53
  • Computer Networks and Communications 52
Replace Vinay Gautam with:
Vinay Gautam India
Naresh Kumar Trivedi India
Analyn N. Yumang Philippines
Geeta Rani India
G. Sambasivam India
Shabir Ahmad Sofi India
Dionis A. Padilla Philippines
Harmandeep Singh Gill India
Ruber Hernández-García Chile
Emine Uçar Türkiye
Deepak Banerjee relative to Vinay Gautam India Vinay Gautam's profile →
Citations per field
00.5×1.5×1.9×
Vinay Gautam · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Deepak Banerjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Deepak Banerjee Line = papers co-authored together Deepak Banerjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Precision Agriculture: Classifying Banana Leaf Diseases with Hybrid Deep Learning Models
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vandana Sharma
202363
2
Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain
202354
3
Fast and Accurate Multi-Classification of Kiwi Fruit Disease in Leaves using deep learning Approach
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vandana Sharma
202342
4
Hybrid CNN-SVM Approach with Regularization for Accurate Classification of Images: A Case Study on Rudraksha Beads
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Soumi Dutta
202323
5
Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Varun Jindal
202322
6
An Intelligent Framework for Grassy Shoot Disease Severity Detection and Classification in Sugarcane Crop
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Soumi Dutta
202322
7
Automated Diagnosis of Marigold Leaf Diseases using a Hybrid CNN-SVM Model
Deepak Banerjee, Vinay Kukreja, Vandana Sharma, Vishal Jain, Shanmugasundaram Hariharan
202322
8
Combining CNN and SVM for Accurate Identification of Ridge Gourd Leaf Diseases
Deepak Banerjee, Vinay Kukreja, Amit Gupta, Vijay Singh, Tejinder Pal Singh Brar
202321
9
CNN-SVM Model for Accurate Detection of Bacterial Diseases in Cucumber Leaves
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Soumi Dutta
202320
10
Hybrid CNN & Random Forest Model for Effective Guava Leaf Disease Diagnosis
Deepak Banerjee, Vinay Kukreja, Aditya Verma, Navin Garg, Shanmugasundaram Hariharan
202319
11
Predicting Tulip Leaf Diseases: A Integrated CNN and Random Forest Approach
Deepak Banerjee, Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Varun Jindal
202319
12
Lotus Disease Diagnosis Using Combined CNN and SVM with Max Pooling and Convolutional Layers
Deepak Banerjee, Vinay Kukreja, Rishika Yadav, Kireet Joshi, Amitoj Singh
202314
13
Dietary intakes of urban and rural pregnant, lactating and non-pregnant, non-lactating vegetarian women of Varanasi.
PubMed ·Bhatia Bd, Deepak Banerjee, Agarwal Dk, Agarwal Kn
198111
14
Enhancing Snake Plant Disease Classification through CNN-Random Forest Integration
Deepak Banerjee, Vinay Kukreja, Samir Rana, Manika Manwal, Shanmugasundaram Hariharan
202311
15
A Regularized CNN-SVM Framework for Improved Diagnosis of Citrus Fruit Diseases, both Common and Exotic
Deepak Banerjee, Vinay Kukreja, Nitin Jain, Satvik Vats, Sarvesh Tanwar
20239
16
Classification of Student Mental Health Analysis using Logistic Regression and other classification techniques through Machine Learning Methods
Nishant Pritam, Kanwarpartap Singh Gill, Mukesh Kumar, Ruchira Rawat, Deepak Banerjee
20248
17
MintLeafNet: A CNN Model for Accurate and Efficient Detection of Multiple Mint Leaf Diseases
Arshleen Kaur, Vinay Kukreja, Deepak Banerjee, Karun Madan
20238
18
CNN and SVM-based Model for Effective Watermelon Disease Classification
Deepak Banerjee, Vinay Kukreja, Amit Gupta, Vijay Singh, Tejinder Pal Singh Brar
20238
19
Classification of Network Security Attack using KNN (K-Nearest Neighbour) and Comparison of different Attacks through different Machine Learning Techniques
Muskan Agarwal, Kanwarpartap Singh Gill, Rahul Chauhan, Akanksha Kapruwan, Deepak Banerjee
20247
20
Sugarcane Leaf Health Grading Using State-of-the-Art Deep Learning Approaches
Deepak Banerjee, Neha Sharma, Deepak Upadhyay, Vijay Singh, Kanwarpartap Singh Gill
20247

About Deepak Banerjee

Deepak Banerjee is a scholar working on Plant Science, Analytical Chemistry, Industrial and Manufacturing Engineering, Computer Networks and Communications and Cell Biology, having authored 141 papers that have together received 567 indexed citations. Recurring topics across this work include Smart Agriculture and AI (64 papers), Spectroscopy and Chemometric Analyses (22 papers), Industrial Vision Systems and Defect Detection (15 papers), Leaf Properties and Growth Measurement (15 papers), Plant Pathogens and Fungal Diseases (11 papers), Plant Disease Management Techniques (10 papers), Plant Virus Research Studies (9 papers) and Smart Systems and Machine Learning (8 papers). The work is most often cited by research in Analytical Chemistry (76 citations), Plant Science (255 citations), Industrial and Manufacturing Engineering (36 citations), Computer Vision and Pattern Recognition (53 citations) and Computer Networks and Communications (52 citations). Deepak Banerjee has collaborated with scholars based in India, United Arab Emirates and Saudi Arabia. Frequent co-authors include Vinay Kukreja, Shanmugasundaram Hariharan, Vishal Jain, Vandana Sharma, Soumi Dutta, Kanwarpartap Singh Gill, Rahul Chauhan, Satvik Vats, Amit Gupta and Vijay Singh. Their work appears in journals such as The Indian Journal of Pediatrics, PubMed and Zenodo (CERN European Organization for Nuclear Research).

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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