Surjeet Dalal
About
In The Last Decade
Surjeet Dalal
81 papers receiving 941 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 340
- Computer Networks and Communications 244
- Information Systems 189
- Computer Vision and Pattern Recognition 118
- Health Information Management 115
Countries citing papers authored by Surjeet Dalal
This map shows the geographic impact of Surjeet Dalal'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 Surjeet Dalal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surjeet Dalal more than expected).
Fields of papers citing papers by Surjeet Dalal
This network shows the impact of papers produced by Surjeet Dalal. 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 Surjeet Dalal. The network helps show where Surjeet Dalal may publish in the future.
Co-authorship network of co-authors of Surjeet Dalal
This figure shows the co-authorship network connecting the top 25 collaborators of Surjeet Dalal. A scholar is included among the top collaborators of Surjeet Dalal 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 Surjeet Dalal. Surjeet Dalal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Intelligent waste sorting for sustainable environment: A hybrid deep learning and transfer learning model | Gondwana Research | Umesh Kumar Lilhore, Sarita Simaiya et al. | 10 |
| 2 | Improving efficiency and sustainability via supply chain optimization through CNNs and BiLSTM | Technological Forecasting and Social Change | Surjeet Dalal, Umesh Kumar Lilhore et al. | 13 |
| 3 | Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis | BMC Medical Informatics and Decision Making | Umesh Kumar Lilhore, Musaed Alhussein et al. | 3 |
| 4 | Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency | PeerJ Computer Science | Surjeet Dalal, Umesh Kumar Lilhore et al. | 9 |
| 5 | An Attention‐Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification | Expert Systems | Umesh Kumar Lilhore, Sarita Simaiya et al. | 3 |
| 6 | Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques | Multimedia Tools and Applications | Surjeet Dalal, Umesh Kumar Lilhore et al. | 3 |
| 7 | A Deep Learning Framework with Learning without Forgetting for Intelligent Surveillance in IoT-enabled Home Environments in Smart Cities | Recent Advances in Computer Science and Communications | Surjeet Dalal, Amit Verma et al. | 2 |
| 8 | Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation | Journal of Cloud Computing Advances Systems and Applications | Umesh Kumar Lilhore, Sarita Simaiya et al. | 1 |
| 9 | Traffic forecasting using LSTM and SARIMA models: A comparative analysis | AIP conference proceedings | Surjeet Dalal, Momina Shaheen et al. | 1 |
| 10 | Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach | Multimedia Tools and Applications | Umesh Kumar Lilhore, Surjeet Dalal et al. | 7 |
| 11 | Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree | Journal of Cloud Computing Advances Systems and Applications | Surjeet Dalal, Umesh Kumar Lilhore et al. | 19 |
| 12 | Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0 | Measurement Sensors | Edeh Michael Onyema, Umesh Kumar Lilhore et al. | 13 |
| 13 | Optimized | Transactions on Emerging Telecommunications Technologies | Surjeet Dalal, M. Poongodi et al. | 5 |
| 14 | A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning | Computers & Security | Umesh Kumar Lilhore, Surjeet Dalal et al. | 32 |
| 15 | Application of Machine Learning for Cardiovascular Disease Risk Prediction | Computational Intelligence and Neuroscience | Surjeet Dalal, Edeh Michael Onyema et al. | 33 |
| 16 | Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation | Applied System Innovation | Yogesh Kumar Sharma, Chaman Verma et al. | 4 |
| 17 | An Enhanced Bat Algorithm for Data Clustering Problems | International Journal of Advanced Research in Computer Science | Surjeet Dalal et al. | 1 |
| 18 | Adaptive Model For Integrity Verification In Cloud Computing System | International Journal of Advanced Research in Computer Science | Surjeet Dalal et al. | 1 |
| 19 | Designing architecture of demand forecasting tool using multi-agent system | Surjeet Dalal, Vivek Jaglan et al. | 2 | |
| 20 | Analysing Supply Chain Strategy Using Case-Based Reasoning | Surjeet Dalal et al. | 4 |
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.