Anupam Baliyan

1.5k total citations
36 papers, 767 citations indexed

About

Anupam Baliyan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Plant Science. According to data from OpenAlex, Anupam Baliyan has authored 36 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 9 papers in Plant Science. Recurrent topics in Anupam Baliyan's work include Smart Agriculture and AI (9 papers), Plant Disease Management Techniques (6 papers) and Plant Virus Research Studies (4 papers). Anupam Baliyan is often cited by papers focused on Smart Agriculture and AI (9 papers), Plant Disease Management Techniques (6 papers) and Plant Virus Research Studies (4 papers). Anupam Baliyan collaborates with scholars based in India, Ethiopia and United States. Anupam Baliyan's co-authors include Vinay Kukreja, Shweta Lamba, T. Ananth Kumar, Abhishek Kumar, Rajesh Kumar Kaushal, Shalli Rani, Syed Hassan Ahmed, Abhishek Kumar, Kuldeep Singh Kaswan and Sachin Ahuja and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Sustainability.

In The Last Decade

Anupam Baliyan

33 papers receiving 742 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anupam Baliyan India 15 235 141 104 94 81 36 767
Hani Moaiteq Aljahdali Saudi Arabia 14 181 0.8× 175 1.2× 175 1.7× 193 2.1× 82 1.0× 38 737
J. Andrew India 14 229 1.0× 228 1.6× 147 1.4× 240 2.6× 120 1.5× 54 870
Vandana Sharma India 15 109 0.5× 209 1.5× 101 1.0× 143 1.5× 78 1.0× 121 773
Mejdl Safran Saudi Arabia 15 88 0.4× 197 1.4× 90 0.9× 112 1.2× 91 1.1× 92 719
U. Venkanna India 15 156 0.7× 89 0.6× 248 2.4× 75 0.8× 106 1.3× 72 728
Waleed Albattah Saudi Arabia 17 308 1.3× 209 1.5× 97 0.9× 101 1.1× 207 2.6× 55 902
Deepak Kumar India 15 291 1.2× 116 0.8× 62 0.6× 80 0.9× 124 1.5× 78 846
Sultan Alfarhood Saudi Arabia 15 87 0.4× 238 1.7× 89 0.9× 123 1.3× 113 1.4× 91 743
Bhupesh Kumar Singh India 15 78 0.3× 120 0.9× 69 0.7× 56 0.6× 139 1.7× 40 539
T. Jayasankar India 13 65 0.3× 121 0.9× 176 1.7× 90 1.0× 77 1.0× 56 525

Countries citing papers authored by Anupam Baliyan

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Baliyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Baliyan

This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Baliyan. A scholar is included among the top collaborators of Anupam Baliyan 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 Anupam Baliyan. Anupam Baliyan 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.
Simaiya, Sarita, Umesh Kumar Lilhore, Yogesh Kumar Sharma, et al.. (2024). A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques. Scientific Reports. 14(1). 1337–1337. 28 indexed citations
2.
Lilhore, Umesh Kumar, Sarita Simaiya, Yogesh Kumar Sharma, et al.. (2024). A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization. Scientific Reports. 14(1). 4299–4299. 27 indexed citations
3.
Kaswan, Kuldeep Singh, Jagjit Singh Dhatterwal, Anupam Baliyan, & Shalli Rani. (2023). Quantum Computing. 1 indexed citations
4.
Vyas, Narayan, et al.. (2023). Detecting Seizures from EEG Data: The Potential of Deep Learning Techniques. 439–444. 1 indexed citations
5.
Kumar, Abhishek, et al.. (2023). Transforming Payment Processes: A Discussion of AI-Enabled Routing Optimization. 1–7. 28 indexed citations
6.
Baliyan, Anupam, et al.. (2023). Parkinson's Disease Detection Using Machine Learning: Review. 1–3. 1 indexed citations
7.
Kaswan, Kuldeep Singh, Jagjit Singh Dhatterwal, Anupam Baliyan, & Shalli Rani. (2023). CYBORG. 1 indexed citations
8.
Kumar, Abhishek, et al.. (2023). Predictive Intelligence for Healthcare Outcomes: An AI Architecture Overview. 1–6. 31 indexed citations
9.
Lamba, Shweta, Vinay Kukreja, Anupam Baliyan, Shalli Rani, & Syed Hassan Ahmed. (2023). A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning. Sustainability. 15(2). 1502–1502. 72 indexed citations
10.
Lamba, Shweta, Vinay Kukreja, Junaid Rashid, et al.. (2023). A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases. Frontiers in Plant Science. 14. 1234067–1234067. 11 indexed citations
11.
Lamba, Shweta, Anupam Baliyan, & Vinay Kukreja. (2022). A novel GCL hybrid classification model for paddy diseases. International Journal of Information Technology. 15(2). 1127–1136. 74 indexed citations
12.
Baliyan, Anupam, Kuldeep Singh Kaswan, & Jagjit Singh Dhatterwal. (2022). An Empirical Analysis of Python Programming for Advance Computing. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). 1482–1486. 4 indexed citations
13.
Baliyan, Anupam, et al.. (2022). Machine Learning Enabled Techniques for Protecting Wireless Sensor Networks by Estimating Attack Prevalence and Device Deployment Strategy for 5G Networks. Wireless Communications and Mobile Computing. 2022(1). 54 indexed citations
14.
Kukreja, Vinay, et al.. (2021). Potato Blight: Deep Learning Model for Binary and Multi-Classification. 967–972. 58 indexed citations
15.
Baliyan, Anupam, et al.. (2021). Multilingual Sentiment Analysis using RNN-LSTM and Neural Machine Translation. International Conference on Computing for Sustainable Global Development. 710–713. 8 indexed citations
16.
Baliyan, Anupam, et al.. (2021). Blockchain Assembled Supply Chains to Foster Secure Trading Using Distributed Ledger. 1–5. 5 indexed citations
17.
Baliyan, Anupam, et al.. (2021). Detection of Corn Gray Leaf Spot Severity Levels using Deep Learning Approach. 1–5. 75 indexed citations
18.
Jain, Vishal, et al.. (2018). Ontology Mapping and Merging Aspects in Semantic Web. International Conference on Robotics and Automation. 4(1). 1–5. 4 indexed citations
19.
Baliyan, Anupam, et al.. (2018). 5G: a new era of wireless communication. International Journal of Information Technology. 12(2). 619–624. 48 indexed citations
20.
Singh, Mayank, et al.. (2018). Neuro fuzzy—COCOMO II model for software cost estimation. International Journal of Information Technology. 10(2). 181–187. 30 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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