Deepak Kumar Jain

4.5k citations
178 papers · 3.2k · 1 hit paper · h-index 30

Impact in

Papers in

Deepak Kumar Jain

158 papers receiving 3.1k citations

Deepak Kumar Jain's Hit Papers

Extended deep neural network for facial emotion recognition 2019 · 299 citations
2990+2+4Years since publication50100150200250

Peers

Deepak Kumar Jain
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 1.1k
  • Experimental and Cognitive Psychology 396
  • Media Technology 216
  • Artificial Intelligence 812
  • Information Systems 441
Replace Yimin Yang with:
Yimin Yang China
Rung-Ching Chen Taiwan
Ruili Wang New Zealand
Jamil Ahmad Pakistan
Hari Mohan Pandey United Kingdom
Antonio Liotta Netherlands
Xin Ning China
Jianping Gou China
Rongfang Bie China
Haoyi Xiong China
Deepak Kumar Jain relative to Yimin Yang China Yimin Yang's profile →
Citations per field
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Citations per year

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-authors

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.

Border = papers with Deepak Kumar Jain Line = papers co-authored together Deepak Kumar Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Extended deep neural network for facial emotion recognition
Hit paper breakdown →
2019299
2 2019164
3 2020126
4 2019113
5 2021103
6 201984
7 201770
8 202169
9 201769
10 201768
11 201967
12 202165
13 201862
14 201959
15 199258
16 202057
17 199155
18 201849
19 201948
20 201947

About Deepak Kumar Jain

Deepak Kumar Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 178 papers that have together received 3.2k 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 (12 papers), Face and Expression Recognition (8 papers), IoT and Edge/Fog Computing (8 papers), Advanced Neural Network Applications (8 papers), Blockchain Technology Applications and Security (7 papers) and Face recognition and analysis (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Experimental and Cognitive Psychology (396 citations), Media Technology (216 citations), Artificial Intelligence (812 citations) and Information Systems (441 citations). Deepak Kumar Jain has collaborated with scholars based in China, India and United States. Frequent co-authors include Pourya Shamsolmoali, Paramjit Sehdev, Akshi Kumar, Masoumeh Zareapoor, Geetanjali Garg, Jie Yang, Irshad Ahmad Ansari, M. Prakash, R.D. Tyagi and S. Neelakandan. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, Information Fusion, Multimedia Tools and Applications and IEEE Access.

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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