Abhinav Juneja

529 total citations
23 papers, 225 citations indexed

About

Abhinav Juneja is a scholar working on Electrical and Electronic Engineering, Health Information Management and Computer Networks and Communications. According to data from OpenAlex, Abhinav Juneja has authored 23 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electrical and Electronic Engineering, 3 papers in Health Information Management and 2 papers in Computer Networks and Communications. Recurrent topics in Abhinav Juneja's work include Artificial Intelligence in Healthcare (3 papers), Green IT and Sustainability (2 papers) and Imbalanced Data Classification Techniques (2 papers). Abhinav Juneja is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Green IT and Sustainability (2 papers) and Imbalanced Data Classification Techniques (2 papers). Abhinav Juneja collaborates with scholars based in India, Saudi Arabia and Lebanon. Abhinav Juneja's co-authors include Sapna Juneja, Gaurav Dhiman, Sandeep Kautish, Vikram Bali, Rohit Anand, Vivek Kumar, Shashank Jain, Hamza Turabieh, Vishal Jain and Deepali Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Intelligence and Neuroscience and Mathematical Problems in Engineering.

In The Last Decade

Abhinav Juneja

20 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhinav Juneja India 10 61 35 35 29 26 23 225
Sultan Alyami Saudi Arabia 10 70 1.1× 27 0.8× 44 1.3× 31 1.1× 12 0.5× 23 275
Shakil Ahmed Bangladesh 8 137 2.2× 28 0.8× 31 0.9× 21 0.7× 23 0.9× 14 238
Guru Prasad M S India 8 66 1.1× 25 0.7× 65 1.9× 18 0.6× 9 0.3× 74 234
Venkatramaphanikumar Sistla India 10 122 2.0× 40 1.1× 74 2.1× 21 0.7× 22 0.8× 34 450
Abhineet Anand India 11 69 1.1× 64 1.8× 49 1.4× 77 2.7× 20 0.8× 49 490
Bharat Bhushan Sagar India 7 53 0.9× 50 1.4× 24 0.7× 48 1.7× 19 0.7× 36 223
S. Sountharrajan India 8 66 1.1× 35 1.0× 29 0.8× 27 0.9× 16 0.6× 40 206
R.S. Latha India 10 46 0.8× 26 0.7× 71 2.0× 36 1.2× 11 0.4× 33 292
Thulasi Bikku India 8 115 1.9× 30 0.9× 48 1.4× 27 0.9× 48 1.8× 42 244
Narayan Vyas India 10 63 1.0× 23 0.7× 33 0.9× 19 0.7× 39 1.5× 31 214

Countries citing papers authored by Abhinav Juneja

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Juneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Juneja

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Juneja. A scholar is included among the top collaborators of Abhinav Juneja 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 Abhinav Juneja. Abhinav Juneja 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.
Juneja, Abhinav, et al.. (2024). An empirical study of just-in-time-defect prediction using various machine learning techniques. International Journal of Computers and Applications. 46(6). 397–406. 1 indexed citations
2.
Gulzar, Yonis, et al.. (2024). Saffron corm sorting and rot treatment strategy for productivity enhancement for precision agriculture. Emirates Journal of Food and Agriculture. 36. 1–11. 4 indexed citations
3.
Agarwal, Shivani, Mudita Uppal, Deepali Gupta, & Abhinav Juneja. (2024). Balancing Between Ecological Conservation and Urbanization: A Novel Approach to Squirrel Management. 396–400.
4.
Sandhu, Jasminder Kaur, Deepali Gupta, Thippa Reddy Gadekallu, et al.. (2023). Data Rate Aware Reliable Transmission Mechanism in Wireless Sensor Networks using Bayesian Regularized Neural Network approach. Physical Communication. 59. 102115–102115. 5 indexed citations
5.
Anand, Rohit, Sapna Juneja, Abhinav Juneja, Vishal Jain, & Ramani Kannan. (2023). Integration of IoT with Cloud Computing for Smart Applications. 7 indexed citations
6.
Juneja, Abhinav, et al.. (2022). Exploration of Crucial Factors Involved in Plants Development Using the Fuzzy AHP Method. Mathematical Problems in Engineering. 2022. 1–9. 12 indexed citations
7.
Juneja, Abhinav, et al.. (2022). Contrast Enhancement in Mammograms Using Convolution Neural Networks for Edge Computing Systems. Scientific Programming. 2022. 1–9. 7 indexed citations
8.
Juneja, Sapna, et al.. (2022). An Approach to DNA Sequence Classification Through Machine Learning. RePEc: Research Papers in Economics. 11(2). 1–15. 4 indexed citations
9.
Thakur, Divyansh, Yugal Kumar, Pradeep Kumar Singh, & Abhinav Juneja. (2022). Measuring Environmental Parameters and Irrigation for Rose Crops using Cost Effective WSNs Model. 1–6. 1 indexed citations
10.
Juneja, Abhinav, et al.. (2021). Real Time Object Detection using CNN based Single Shot Detector Model. SHILAP Revista de lepidopterología. 13(1). 62–80. 27 indexed citations
11.
Juneja, Abhinav, et al.. (2021). Predicting Diabetes Mellitus With Machine Learning Techniques Using Multi-Criteria Decision Making. International Journal of Information Retrieval Research. 11(2). 38–52. 18 indexed citations
12.
Juneja, Sapna, et al.. (2021). Evaluation of Ergonomics‐Related Disorders in Online Education Using Fuzzy AHP. Computational Intelligence and Neuroscience. 2021(1). 2214971–2214971. 21 indexed citations
13.
Juneja, Sapna, et al.. (2021). Kernel Parameter Tuning to Tweak the Performance of Classifiers for Identification of Heart Diseases. International Journal of E-Health and Medical Communications. 12(4). 1–16. 16 indexed citations
14.
Jain, Vishal, et al.. (2021). Handbook of Machine Learning for Computational Optimization. 3 indexed citations
15.
Juneja, Sapna, et al.. (2021). An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks. Computational and Mathematical Methods in Medicine. 2021. 1–10. 24 indexed citations
16.
Juneja, Abhinav. (2020). Improvising Green Computing Using Multi-Criterion Decision Making. Journal of Advanced Research in Dynamical and Control Systems. 12(SP3). 1161–1165. 2 indexed citations
17.
Juneja, Sapna, Abhinav Juneja, & Rohit Anand. (2020). Healthcare 4.0-Digitizing Healthcare Using Big Data for Performance Improvisation. Journal of Computational and Theoretical Nanoscience. 17(9). 4408–4410. 18 indexed citations
18.
Juneja, Abhinav, et al.. (2020). Multi-Criterion Decision Making for Wireless Communication Technologies Adoption in IoT. International Journal of System Dynamics Applications. 10(1). 1–15. 20 indexed citations
19.
20.
Juneja, Sapna, et al.. (2019). Mining Aspects on the Social Network. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 285–289. 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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