Poonam Dhiman

791 total citations · 1 hit paper
14 papers, 498 citations indexed

About

Poonam Dhiman is a scholar working on Plant Science, Analytical Chemistry and Artificial Intelligence. According to data from OpenAlex, Poonam Dhiman has authored 14 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 6 papers in Analytical Chemistry and 4 papers in Artificial Intelligence. Recurrent topics in Poonam Dhiman's work include Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Date Palm Research Studies (5 papers). Poonam Dhiman is often cited by papers focused on Smart Agriculture and AI (10 papers), Spectroscopy and Chemometric Analyses (6 papers) and Date Palm Research Studies (5 papers). Poonam Dhiman collaborates with scholars based in India, Saudi Arabia and United Arab Emirates. Poonam Dhiman's co-authors include Vinay Kukreja, Amandeep Kaur, Poongodi Manoharan, Celestine Iwendi, Imed Ben Dhaou, M. M. Kamruzzaman, Yasir Hamid, Yonis Gulzar, Ali A. Alwan and Eatedal Alabdulkreem and has published in prestigious journals such as Sensors, Sustainability and Electronics.

In The Last Decade

Poonam Dhiman

14 papers receiving 474 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.

A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits

2022 194 citations Poonam Dhiman, Vinay Kukreja et al. Electronics profile →

Peers

Poonam Dhiman

PS

AC

CVPR

AI

CNC

Naresh Kumar Trivedi India

Abhineet Anand India

Shweta Lamba India

Ashish Mishra India

Shaomin Mu China

Asif Iqbal Khan India

Vishnu Kumar Kaliappan India

Vinay Gautam India

Shilpi Harnal India

Hamoud Alshammari Saudi Arabia

Naresh Kumar Trivedi India

Poonam Dhiman

319 ×1.3

PS

119 ×1.0

AC

64 ×1.0

CVPR

99 ×1.5

AI

49 ×0.8

CNC

Citations per year, relative to Poonam Dhiman Poonam Dhiman (= 1×) peers Naresh Kumar Trivedi

Countries citing papers authored by Poonam Dhiman

Since Specialization

Citations

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

Fields of papers citing papers by Poonam Dhiman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Dhiman

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

All Works

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14 of 14 papers shown

1.

Kaur, Amandeep, et al.. (2024). ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model. International Journal of Intelligent Computing and Cybernetics. 17(4). 783–804. 1 indexed citations

2.

Dhiman, Poonam, et al.. (2024). A systematic review of deep learning applications for rice disease diagnosis: current trends and future directions. Frontiers in Computer Science. 6. 20 indexed citations

3.

Dhiman, Poonam, Neha Saini, Yonis Gulzar, et al.. (2024). A Review and Comparative Analysis of Relevant Approaches of Zero Trust Network Model. Sensors. 24(4). 1328–1328. 20 indexed citations

4.

Dhiman, Poonam, et al.. (2024). Improving Deep Learning Classifiers Performance using Preprocessing and Cycle Scheduling Approaches in a Plant Disease Detection. 1–5. 1 indexed citations

5.

Dhiman, Poonam, Amandeep Kaur, Yasir Hamid, et al.. (2023). Smart Disease Detection System for Citrus Fruits Using Deep Learning with Edge Computing. Sustainability. 15(5). 4576–4576. 39 indexed citations

6.

Dhiman, Poonam, Amandeep Kaur, & Vinay Kukreja. (2023). Citrus Fruit Disease Detection Techniques: A Survey and Comparative Analysis of Relevant Approaches. International Journal of Computing and Digital Systems. 14(1). 10127–10148. 5 indexed citations

7.

Dhiman, Poonam, Poongodi Manoharan, Umesh Kumar Lilhore, et al.. (2023). PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment. EURASIP Journal on Advances in Signal Processing. 2023(1). 14 indexed citations

8.

Dhiman, Poonam, et al.. (2023). Image Acquisition, Preprocessing and Classification of Citrus Fruit Diseases: A Systematic Literature Review. Sustainability. 15(12). 9643–9643. 60 indexed citations

9.

Dhiman, Poonam, Vinay Kukreja, Poongodi Manoharan, et al.. (2022). A Novel Deep Learning Model for Detection of Severity Level of the Disease in Citrus Fruits. Electronics. 11(3). 495–495. 194 indexed citations breakdown →

10.

Dhiman, Poonam. (2022). Contemporary Study on Citrus Disease Classification System. ECS Transactions. 107(1). 10035–10043. 2 indexed citations

11.

Dhiman, Poonam, Vinay Kukreja, & Amandeep Kaur. (2021). Citrus Fruits Classification and Evaluation using Deep Convolution Neural Networks: An Input Layer Resizing Approach. 1–4. 7 indexed citations

12.

Kadyan, Virender, Mohit Dua, & Poonam Dhiman. (2021). Enhancing accuracy of long contextual dependencies for Punjabi speech recognition system using deep LSTM. International Journal of Speech Technology. 24(2). 517–527. 12 indexed citations

13.

Kukreja, Vinay & Poonam Dhiman. (2020). A Deep Neural Network based disease detection scheme for Citrus fruits. 97–101. 116 indexed citations

14.

Dhiman, Poonam, et al.. (2014). Empirical validation of website quality using statistical and machine learning methods. 286–291. 7 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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