Deepak Kumar Dewangan

1.1k total citations
28 papers, 500 citations indexed

About

Deepak Kumar Dewangan is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Media Technology. According to data from OpenAlex, Deepak Kumar Dewangan has authored 28 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 14 papers in Automotive Engineering and 8 papers in Media Technology. Recurrent topics in Deepak Kumar Dewangan's work include Autonomous Vehicle Technology and Safety (14 papers), Advanced Neural Network Applications (9 papers) and Vehicle License Plate Recognition (5 papers). Deepak Kumar Dewangan is often cited by papers focused on Autonomous Vehicle Technology and Safety (14 papers), Advanced Neural Network Applications (9 papers) and Vehicle License Plate Recognition (5 papers). Deepak Kumar Dewangan collaborates with scholars based in India. Deepak Kumar Dewangan's co-authors include Satya Prakash Sahu, Satya Prakash Sahu, Pratibha Pandey, Yogesh Kumar Rathore, K. V. Arya, Monica Ramchandani, Shivani Kumari, Prachi Agrawal, K. K. Pathak and Kamred Udham Singh and has published in prestigious journals such as Electronics Letters, IEEE Sensors Journal and Multimedia Tools and Applications.

In The Last Decade

Deepak Kumar Dewangan

23 papers receiving 465 citations

Peers

Deepak Kumar Dewangan

CVPR

AE

AI

MT

CSE

Thierry Château France

Qichuan Geng China

Marius Zöllner Germany

Liang Xiao China

Bogdan Stanciulescu France

Yifeng Shi China

Faming Shao China

Abhishek Gupta Canada

Hengli Wang Hong Kong

Chunmian Lin China

Thierry Château France

Deepak Kumar Dewangan

430 ×1.6

CVPR

115 ×0.8

AE

154 ×1.5

AI

36 ×0.4

MT

38 ×0.5

CSE

Citations per year, relative to Deepak Kumar Dewangan Deepak Kumar Dewangan (= 1×) peers Thierry Château

Countries citing papers authored by Deepak Kumar Dewangan

Since Specialization

Citations

This map shows the geographic impact of Deepak Kumar Dewangan'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 Dewangan 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 Dewangan more than expected).

Fields of papers citing papers by Deepak Kumar Dewangan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepak Kumar Dewangan. 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 Dewangan. The network helps show where Deepak Kumar Dewangan may publish in the future.

Co-authorship network of co-authors of Deepak Kumar Dewangan

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar Dewangan. A scholar is included among the top collaborators of Deepak Kumar Dewangan 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 Dewangan. Deepak Kumar Dewangan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dewangan, Deepak Kumar, et al.. (2025). Vision technologies in autonomous vehicles: progress, methodologies, and key challenges. International Journal of Systems Assurance Engineering and Management. 16(12). 4035–4068.

2.

Dewangan, Deepak Kumar, et al.. (2025). Improving Faster R-CNN for Vehicle Detection under Varying Conditions with Domain Adaptation Technique. 1–6.

3.

Agrawal, Prachi, et al.. (2024). Towards Road Anomaly Detection for Autonomous Vehicle System Using Deep Learning Technique. 1–6.

4.

Dewangan, Deepak Kumar, et al.. (2024). Optimized Pedestrian Detection Leveraging YOLOv9: A Thorough Deep Learning Framework for Autonomous Vehicle System. 1–6.

5.

Dewangan, Deepak Kumar, et al.. (2024). Internet of Things (IoT): Role of Machine Learning in Power Management and Optimization using Regression Analysis. 1319–1326. 2 indexed citations

6.

Sahu, Satya Prakash, et al.. (2023). Pedestrian detection using ResNet-101 based Mask R-CNN. AIP conference proceedings. 2705. 20008–20008. 12 indexed citations

7.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2022). Optimized Convolutional Neural Network for Road Detection with Structured Contour and Spatial Information for Intelligent Vehicle System. International Journal of Pattern Recognition and Artificial Intelligence. 36(6). 22 indexed citations

8.

Dewangan, Deepak Kumar, et al.. (2022). Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique. Multimedia Tools and Applications. 81(10). 13935–13960. 47 indexed citations

9.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2022). Towards the design of vision-based intelligent vehicle system: methodologies and challenges. Evolutionary Intelligence. 16(3). 759–800. 17 indexed citations

10.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2022). Lane detection in intelligent vehicle system using optimal 2- tier deep convolutional neural network. Multimedia Tools and Applications. 82(5). 7293–7317. 34 indexed citations

11.

Dewangan, Deepak Kumar, et al.. (2021). VLDNet: Vision-based lane region detection network for intelligent vehicle system using semantic segmentation. Computing. 103(12). 2867–2892. 24 indexed citations

12.

Sahu, Satya Prakash, et al.. (2021). Traffic Light Cycle Control using Deep Reinforcement Technique. 697–702. 15 indexed citations

13.

Sahu, Satya Prakash, et al.. (2021). Vehicle Detection through Instance Segmentation using Mask R-CNN for Intelligent Vehicle System. 954–959. 23 indexed citations

14.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2020). Driving Behavior Analysis of Intelligent Vehicle System for Lane Detection Using Vision-Sensor. IEEE Sensors Journal. 21(5). 6367–6375. 32 indexed citations

15.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2020). Real Time Object Tracking for Intelligent Vehicle. 14 indexed citations

16.

Dewangan, Deepak Kumar & Satya Prakash Sahu. (2020). Deep Learning-Based Speed Bump Detection Model for Intelligent Vehicle System Using Raspberry Pi. IEEE Sensors Journal. 21(3). 3570–3578. 59 indexed citations

17.

Pandey, Pratibha, et al.. (2017). Enhancing the quality of satellite images by preprocessing and contrast enhancement. 56–60. 18 indexed citations

18.

Pandey, Pratibha, et al.. (2017). Enhancing the quality of satellite images using fuzzy inference system. 3087–3092. 9 indexed citations

19.

Pandey, Pratibha, et al.. (2017). Satellite image enhancement techniques — A comparative study. 597–602. 8 indexed citations

20.

Dewangan, Deepak Kumar, et al.. (2015). Fusion technique for finger knuckle print recognition. 1–4. 6 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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