Deepak Kumar Jain
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Video Surveillance and Tracking Methods
- Advanced Steganography and Watermarking Techniques
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- Emotion and Mood Recognition
Papers in
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- Video Surveillance and Tracking Methods 17
- Advanced Neural Network Applications 8
- Advanced Vision and Imaging 7
- Co-authors
- Pourya ShamsolmoaliParamjit SehdevMasoumeh ZareapoorAkshi KumarDhiraj SangwanGeetanjali GargJie YangM. Prakash
- Journals
- Pattern Recognition Letters (10 papers)IEEE Transactions on Industrial Informatics (6 papers)IEEE Access (5 papers)Neural Computing and Applications (5 papers)Multimedia Tools and Applications (5 papers)
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Deepak Kumar Jain
149 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Computer Vision and Pattern Recognition 964
- Experimental and Cognitive Psychology 357
- Artificial Intelligence 752
- Media Technology 195
- Information Systems 409
Countries citing papers authored by Deepak Kumar Jain
This map shows the geographic impact of Deepak Kumar Jain'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 Deepak Kumar Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Kumar Jain more than expected).
Fields of papers citing papers by Deepak Kumar Jain
This network shows the impact of papers produced by Deepak Kumar Jain. 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 Deepak Kumar Jain. The network helps show where Deepak Kumar Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepak Kumar Jain, 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 | 2025 | 13 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 19 | |
| 14 | 2023 | 34 | |
| 15 | 2022 | 3 | |
| 16 | 2021 | 10 | |
| 17 | 2018 | 59 | |
| 18 | 2017 | 1 | |
| 19 | Synthesis and Biological Screening of Novel Aminoalkyl Substituted Azaphenothiazine | 2009 | 2 |
| 20 | Effects of extracts of Argemone mexicana Linn. on seed germination and seedling growth of Abelmoschus esculentus Ser. | 1980 | 3 |
About Deepak Kumar Jain
Deepak Kumar Jain is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Human-Computer Interaction and Hardware and Architecture, having authored 172 papers that have together received 2.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (17 papers), Sentiment Analysis and Opinion Mining (15 papers), Emotion and Mood Recognition (10 papers), Advanced Neural Network Applications (8 papers), IoT and Edge/Fog Computing (8 papers), Network Security and Intrusion Detection (7 papers), Blockchain Technology Applications and Security (7 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (964 citations), Experimental and Cognitive Psychology (357 citations), Artificial Intelligence (752 citations), Media Technology (195 citations) and Information Systems (409 citations). Deepak Kumar Jain has collaborated with scholars based in China, India and United States. Frequent co-authors include Pourya Shamsolmoali, Paramjit Sehdev, Masoumeh Zareapoor, Akshi Kumar, Dhiraj Sangwan, Geetanjali Garg, Jie Yang, M. Prakash, Irshad Ahmad Ansari and S. Neelakandan. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, IEEE Access, Neural Computing and Applications and Multimedia Tools and Applications.
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.