Dileep Kumar Yadav

404 total citations
29 papers, 175 citations indexed

About

Dileep Kumar Yadav is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Aerospace Engineering. According to data from OpenAlex, Dileep Kumar Yadav has authored 29 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 4 papers in Safety, Risk, Reliability and Quality and 4 papers in Aerospace Engineering. Recurrent topics in Dileep Kumar Yadav's work include Video Surveillance and Tracking Methods (20 papers), Image Enhancement Techniques (9 papers) and Fire Detection and Safety Systems (4 papers). Dileep Kumar Yadav is often cited by papers focused on Video Surveillance and Tracking Methods (20 papers), Image Enhancement Techniques (9 papers) and Fire Detection and Safety Systems (4 papers). Dileep Kumar Yadav collaborates with scholars based in India, Malaysia and Jordan. Dileep Kumar Yadav's co-authors include Karan Singh, Manoj Kumar, Susmita Ray, Annapurna Singh, Karan P. Singh, Rohit Tanwar, Rohit Sharma, Tanmoy Maity, Ravindra Yadav and Anil Kumar Budati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Infrared Physics & Technology.

In The Last Decade

Dileep Kumar Yadav

24 papers receiving 159 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dileep Kumar Yadav India 8 124 29 25 21 20 29 175
Yaozong Zheng China 7 125 1.0× 28 1.0× 42 1.7× 11 0.5× 15 0.8× 13 181
Chenxi Wang China 8 160 1.3× 66 2.3× 14 0.6× 52 2.5× 9 0.5× 20 234
Zhangyong Tang China 7 117 0.9× 24 0.8× 42 1.7× 30 1.4× 10 0.5× 15 175
Jialin Tian China 11 219 1.8× 67 2.3× 9 0.4× 43 2.0× 5 0.3× 30 305
Cijo Jose Switzerland 4 130 1.0× 77 2.7× 26 1.0× 8 0.4× 9 0.5× 5 188
Vikas Reddy Australia 9 173 1.4× 27 0.9× 18 0.7× 19 0.9× 16 0.8× 16 222
Siyu Zhu China 5 210 1.7× 47 1.6× 51 2.0× 11 0.5× 9 0.5× 12 287
Yuting Chen China 8 93 0.8× 28 1.0× 12 0.5× 20 1.0× 2 0.1× 19 120

Countries citing papers authored by Dileep Kumar Yadav

Since Specialization
Citations

This map shows the geographic impact of Dileep Kumar Yadav'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 Dileep Kumar Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dileep Kumar Yadav more than expected).

Fields of papers citing papers by Dileep Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dileep Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Dileep Kumar Yadav. A scholar is included among the top collaborators of Dileep Kumar Yadav 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 Dileep Kumar Yadav. Dileep Kumar Yadav 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.
2.
Kumar, Manoj, Dileep Kumar Yadav, Susmita Ray, & Rohit Tanwar. (2023). Handling illumination variation for motion detection in video through intelligent method: An application for smart surveillance system. Multimedia Tools and Applications. 83(10). 29139–29157. 10 indexed citations
3.
Kaswan, Kuldeep Singh, et al.. (2023). ChatGPT: A Comprehensive Review of a Large Language Model. 738–743. 2 indexed citations
4.
Yadav, Dileep Kumar, et al.. (2023). Vehicle Detection in High Density Traffic Surveillance Data usingYOLO.v5. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 17(2). 216–227. 3 indexed citations
5.
Yadav, Dileep Kumar, et al.. (2023). Intelligent Technique for Moving Object Detection from Problematic VideoCaptured through Camera Sensor. Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering). 17(2). 107–115.
6.
Kumar, Manoj, Susmita Ray, & Dileep Kumar Yadav. (2022). Moving Vehicles Detection and Tracking on Highways and Transportation System for Smart Cities. SHILAP Revista de lepidopterología. 7 indexed citations
7.
Shahid, Mohammad, et al.. (2022). A load-balanced hybrid heuristic for allocation of batch of tasks in cloud computing environment. International Journal of Pervasive Computing and Communications. 19(5). 756–781. 7 indexed citations
8.
Sharma, Rohit, et al.. (2022). An improved statistical approach for moving object detection in thermal video frames. Multimedia Tools and Applications. 81(7). 9289–9311. 10 indexed citations
9.
Kumar, Manoj, Susmita Ray, & Dileep Kumar Yadav. (2022). Moving human detection and tracking from thermal video through intelligent surveillance system for smart applications. Multimedia Tools and Applications. 82(25). 39551–39570. 14 indexed citations
10.
Yadav, Dileep Kumar, et al.. (2022). A Rough Set Theory Based Edge Detection for Moving Object Detection. 2022 2nd Asian Conference on Innovation in Technology (ASIANCON). 1–6. 2 indexed citations
11.
Yadav, Dileep Kumar, et al.. (2022). A Review on Haze Removal Methods in Image and Video for Object Detection and Tracking. 129–139. 1 indexed citations
12.
Goyal, S. B., et al.. (2021). Internet of Things Information Analysis using Fusion based Learning with Deep Neural Network. Journal of Physics Conference Series. 1714(1). 12022–12022. 2 indexed citations
13.
Yadav, Dileep Kumar, et al.. (2021). Automating the Indian transportation system through intelligent searching and retrieving with Amazon Elastic Compute Cloud. IET Networks. 10(3). 123–130. 2 indexed citations
14.
Suri, Ajay, Sudhir Kumar Sharma, & Dileep Kumar Yadav. (2020). Comprehensive Study of Various Techniques for Object Detection and Tracking in Video. SSRN Electronic Journal.
15.
Yadav, Dileep Kumar, et al.. (2018). Extraction of Facial Features for Detection of Human Emotions under Noisy Condition. International Journal of Engineering and Manufacturing. 8(5). 49–62. 4 indexed citations
16.
Yadav, Dileep Kumar, et al.. (2017). Histogram-based adaptive learning for background modelling: moving object detection in video surveillance. 2(1). 74–74. 2 indexed citations
17.
Yadav, Dileep Kumar, et al.. (2017). Histogram-based adaptive learning for background modelling: moving object detection in video surveillance. 2(1). 74–74. 6 indexed citations
18.
Yadav, Dileep Kumar, et al.. (2016). Fisher’s linear discriminant ratio based threshold for moving human detection in thermal video. Infrared Physics & Technology. 78. 118–128. 28 indexed citations
19.
Yadav, Dileep Kumar & Karan Singh. (2015). Object detection in dynamic background for visual surveillance applications. International Conference on Computing for Sustainable Global Development. 1601–1606. 1 indexed citations
20.
Yadav, Dileep Kumar, et al.. (2014). Moving object detection in real-time visual surveillance using background subtraction technique. 79–84. 19 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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