Deepak Kumar Jain

4.3k total citations · 1 hit paper
172 papers, 2.9k citations indexed

About

Deepak Kumar Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Deepak Kumar Jain has authored 172 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Deepak Kumar Jain's work include Video Surveillance and Tracking Methods (17 papers), Sentiment Analysis and Opinion Mining (15 papers) and Emotion and Mood Recognition (10 papers). Deepak Kumar Jain is often cited by papers focused on Video Surveillance and Tracking Methods (17 papers), Sentiment Analysis and Opinion Mining (15 papers) and Emotion and Mood Recognition (10 papers). Deepak Kumar Jain collaborates with scholars based in China, India and United States. Deepak Kumar Jain's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Bioresource Technology.

In The Last Decade

Deepak Kumar Jain

149 papers receiving 2.7k citations

Hit Papers

Extended deep neural network for facial emotion recognition 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Kumar Jain China 28 964 752 409 357 307 172 2.9k
C. Krishna Mohan India 35 1.3k 1.4× 1.1k 1.4× 291 0.7× 84 0.2× 351 1.1× 131 3.3k
Hari Mohan Pandey United Kingdom 31 909 0.9× 923 1.2× 230 0.6× 99 0.3× 583 1.9× 113 3.1k
Yimin Yang China 30 870 0.9× 1.0k 1.4× 122 0.3× 168 0.5× 220 0.7× 149 3.1k
Vinay Kukreja India 47 694 0.7× 865 1.2× 385 0.9× 63 0.2× 418 1.4× 575 5.5k
Jamil Ahmad Pakistan 29 2.1k 2.2× 919 1.2× 171 0.4× 301 0.8× 321 1.0× 109 4.1k
Sharnil Pandya India 28 427 0.4× 1.0k 1.4× 411 1.0× 86 0.2× 590 1.9× 61 2.8k
Yongzhao Zhan China 24 1.1k 1.1× 923 1.2× 198 0.5× 848 2.4× 240 0.8× 178 3.1k
Weishan Zhang China 27 579 0.6× 1.2k 1.6× 772 1.9× 124 0.3× 776 2.5× 234 3.1k
Rongfang Bie China 28 642 0.7× 885 1.2× 586 1.4× 97 0.3× 899 2.9× 174 3.2k
Jianping Gou China 26 1.9k 2.0× 2.0k 2.6× 292 0.7× 95 0.3× 261 0.9× 123 4.6k

Countries citing papers authored by Deepak Kumar Jain

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Deepak Kumar Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar Jain. A scholar is included among the top collaborators of Deepak Kumar Jain 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 Deepak Kumar Jain. Deepak Kumar Jain 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.
Jain, Rachna, et al.. (2025). Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach. Information Fusion. 118. 102993–102993. 13 indexed citations
2.
Gan, Chenquan, et al.. (2025). Dual-driven synergy of blockchain and federated learning for trustworthy medical data sharing in internet of medical things. Journal of Information Security and Applications. 97. 104348–104348.
3.
Kumar, Ashish, et al.. (2024). Correlation filter based single object tracking: A review. Information Fusion. 112. 102562–102562. 9 indexed citations
4.
Jain, Deepak Kumar, et al.. (2024). Fusion-driven deep feature network for enhanced object detection and tracking in video surveillance systems. Information Fusion. 109. 102429–102429. 11 indexed citations
5.
Jain, Deepak Kumar, Manoj Kumar, & Laith Abualigah. (2024). Spline magnitude disparity cross correlated deep network for gait recognition. Artificial Intelligence Review. 57(4).
6.
Gan, Chenquan, et al.. (2024). Video multimodal sentiment analysis using cross-modal feature translation and dynamical propagation. Knowledge-Based Systems. 299. 111982–111982. 11 indexed citations
7.
Jain, Deepak Kumar, Xudong Zhao, Salvador García, & S. Neelakandan. (2024). Robust multi-modal pedestrian detection using deep convolutional neural network with ensemble learning model. Expert Systems with Applications. 249. 123527–123527. 7 indexed citations
8.
Jain, Deepak Kumar, et al.. (2024). DiCTI: Diffusion-based Clothing Designer via Text-guided Input. 1–9. 1 indexed citations
9.
Rafiq, Ahsan, Min Wei, Ping Wang, & Deepak Kumar Jain. (2024). Delay Aware 6TiSCH IIoT Networks for Energy Efficient Data Transmission by Adopting Federated Learning and Edge Computing. IEEE Transactions on Consumer Electronics. 70(3). 5911–5928. 4 indexed citations
10.
11.
Gupta, Kapil, Varun Bajaj, Deepak Kumar Jain, & Amir Hussain. (2024). Multi‐model deep learning system for screening human monkeypox using skin images. Expert Systems. 41(10). 6 indexed citations
12.
Kumar, Akshi, Deepak Kumar Jain, Abhishek Mallik, & Sanjay Kumar. (2023). Modified node2vec and attention based fusion framework for next POI recommendation. Information Fusion. 101. 101998–101998. 14 indexed citations
13.
Jain, Deepak Kumar, Weiping Ding, & Ketan Kotecha. (2023). Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. International Journal of Machine Learning and Cybernetics. 14(6). 2221–2237. 19 indexed citations
14.
Jain, Deepak Kumar, et al.. (2023). Multimodal pedestrian detection using metaheuristics with deep convolutional neural network in crowded scenes. Information Fusion. 95. 401–414. 34 indexed citations
15.
Xu, Bo, et al.. (2022). TDO-Spider Taylor ChOA: An Optimized Deep-Learning-Based Sentiment Classification and Review Rating Prediction. Applied Sciences. 12(20). 10292–10292. 3 indexed citations
16.
Tyagi, Sumarga Kumar Sah, Shiva Raj Pokhrel, Hossein Mashad Nemati, et al.. (2021). Redesigning compound TCP with cognitive edge intelligence for WiFi-based IoT. Future Generation Computer Systems. 125. 859–868. 10 indexed citations
17.
Ahmad, Jamil, Khan Muhammad, Wakeel Ahmad, et al.. (2018). Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems. Computers in Industry. 98. 23–33. 59 indexed citations
18.
Ahmad, Farooq, et al.. (2017). Dirichlet Averages of Wright-Type Hypergeometric Function. 2(1). 6. 1 indexed citations
19.
Ilango, K., et al.. (2009). Synthesis and Biological Screening of Novel Aminoalkyl Substituted Azaphenothiazine. Asian Journal of Research in Chemistry. 2(4). 411–413. 2 indexed citations
20.
Pande, P. C., et al.. (1980). Effects of extracts of Argemone mexicana Linn. on seed germination and seedling growth of Abelmoschus esculentus Ser.. Bangladesh Journal of Botany. 9(1). 67–71. 3 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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