Pooja Asopa
Impact in
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- Advanced Neural Network Applications
Papers in
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- Fuzzy Logic and Control Systems 1
- Intelligent Tutoring Systems and Adaptive Learning 1
- Natural Language Processing Techniques 1
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- Energy Efficient Wireless Sensor Networks 2
- Security in Wireless Sensor Networks 1
- Co-authors
- Sourav Mishra (1 shared paper)A. Goswami (1 shared paper)Sakshi Indolia (1 shared paper)Nisheeth Joshi (2 shared papers)Iti Mathur (2 shared papers)Swati Mishra (2 shared papers)Mohammad Khalid Imam Rahmani (2 shared papers)Reyazur Rashid Irshad (2 shared papers)
- Journals
- Journal of Nanoelectronics and Optoelectronics (2 papers)Procedia Computer Science (1 paper)
- Partner nations
- IndiaSaudi Arabia
In The Last Decade
Pooja Asopa
5 papers receiving 455 citations
Pooja Asopa's Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 103
- Health Informatics 5
- Artificial Intelligence 114
- Neurology 26
- Media Technology 29
Countries citing papers authored by Pooja Asopa
This map shows the geographic impact of Pooja Asopa'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 Pooja Asopa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Asopa more than expected).
Fields of papers citing papers by Pooja Asopa
This network shows the impact of papers produced by Pooja Asopa. 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 Pooja Asopa. The network helps show where Pooja Asopa may publish in the future.
Co-authors
The 10 scholars most cited alongside Pooja Asopa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach Hit paper breakdown → | 2018 | 459 |
| 2 | 2016 | 8 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 4 | |
| 5 | 2016 | 2 |
About Pooja Asopa
Pooja Asopa is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 479 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (2 papers), Molecular Communication and Nanonetworks (1 paper), IoT-based Smart Home Systems (1 paper), Energy Harvesting in Wireless Networks (1 paper), Fuzzy Logic and Control Systems (1 paper), Security in Wireless Sensor Networks (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Health Informatics (5 citations), Artificial Intelligence (114 citations), Neurology (26 citations) and Media Technology (29 citations). Pooja Asopa has collaborated with scholars based in India and Saudi Arabia. Frequent co-authors include Sourav Mishra, A. Goswami, Sakshi Indolia, Nisheeth Joshi, Iti Mathur, Swati Mishra, Mohammad Khalid Imam Rahmani, Reyazur Rashid Irshad, Sadaf Yasmin and Sultan Ahmad. Their work appears in journals such as Journal of Nanoelectronics and Optoelectronics and Procedia Computer Science.
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.