Deepak Kumar Jain

4.5k citations
171 papers · 3.0k · 1 hit paper · h-index 29

Impact in

Papers in

Deepak Kumar Jain

151 papers receiving 2.9k citations

Deepak Kumar Jain's Hit Papers

Extended deep neural network for facial emotion recognition 2019 · 275 citations
2750+2+4Years since publication50100150200250

Peers

Deepak Kumar Jain
Comparison fields: 5 of 169
  • Computer Vision and Pattern Recognition 987
  • Experimental and Cognitive Psychology 365
  • Artificial Intelligence 764
  • Media Technology 202
  • Information Systems 411
Replace Yimin Yang with:
Yimin Yang China
Ruili Wang New Zealand
Jamil Ahmad Pakistan
Antonio Liotta Netherlands
Hari Mohan Pandey United Kingdom
Xin Ning China
Jianping Gou China
Vinay Kukreja India
Haoyi Xiong China
Rongfang Bie China
Deepak Kumar Jain relative to Yimin Yang China Yimin Yang's profile →
Citations per field
00.5×3.3×
Yimin Yang · 1×
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 171 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 →
2019275
2 2019155
3 2020121
4 2019111
5 2021100
6 201982
7 201769
8 202167
9 201764
10 201963
11 201763
12 201860
13 202159
14 201958
15 199254
16 199153
17 202050
18 201946
19 201845
20 201945

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 171 papers that have together received 3.0k 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), IoT and Edge/Fog Computing (8 papers), Advanced Neural Network Applications (8 papers), Blockchain Technology Applications and Security (7 papers), Network Security and Intrusion Detection (7 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (987 citations), Experimental and Cognitive Psychology (365 citations), Artificial Intelligence (764 citations), Media Technology (202 citations) and Information Systems (411 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, Geetanjali Garg, Jie Yang, M. Prakash, Irshad Ahmad Ansari, S. Neelakandan and R.D. Tyagi. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Industrial Informatics, IEEE Access, Information Fusion 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.

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