Piyush Kumar

631 total citations
31 papers, 258 citations indexed

About

Piyush Kumar is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Piyush Kumar has authored 31 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Neurology. Recurrent topics in Piyush Kumar's work include Brain Tumor Detection and Classification (4 papers), Automated Road and Building Extraction (3 papers) and Energy Load and Power Forecasting (3 papers). Piyush Kumar is often cited by papers focused on Brain Tumor Detection and Classification (4 papers), Automated Road and Building Extraction (3 papers) and Energy Load and Power Forecasting (3 papers). Piyush Kumar collaborates with scholars based in India, United States and Nepal. Piyush Kumar's co-authors include Shitala Prasad, Li Fei-Fei, Bin Yao, P.D. Sathya, Sachin Jambawalikar, Thompson Stephan, Achyut Shankar, Sanjeev Thakur, Anupam Das and Farhat Fatima and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Biomedical Signal Processing and Control.

In The Last Decade

Piyush Kumar

23 papers receiving 238 citations

Peers

Piyush Kumar

CVPR

MSOR

PS

SP

NEURO

R.S. Latha India

G. R. Sreekanth India

Fathe Jeribi Saudi Arabia

Norhalina Senan Malaysia

Sania Anam Pakistan

Yadala Sucharitha India

K. Aditya Shastry India

Hua Huo China

Masoud Muhammed Hassan Iraq

Amena Mahmoud Egypt

R.S. Latha India

Piyush Kumar

71 ×1.2

CVPR

14 ×0.4

MSOR

91 ×2.4

PS

7 ×0.2

SP

24 ×0.8

NEURO

Citations per year, relative to Piyush Kumar Piyush Kumar (= 1×) peers R.S. Latha

Countries citing papers authored by Piyush Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Piyush Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Piyush Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Piyush Kumar. A scholar is included among the top collaborators of Piyush Kumar 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 Piyush Kumar. Piyush Kumar 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.

Kumar, Piyush, et al.. (2025). Automated breast nuclei feature extraction for segmentation in histopathology images using Deep-CNN-based gaussian mixture model and color optimization technique. Multimedia Tools and Applications. 84(31). 37933–37959.

2.

Kumar, Piyush, et al.. (2024). A Novel GAN with DNA Sequences and Hashbased Approach for Improving Medical ImageSecurity. International Journal of Image Graphics and Signal Processing. 16(6). 72–86.

3.

Kumar, Piyush, et al.. (2024). Feasibility of Achieving Dose Constraints for Dysphagia Aspiration-Related Structures and Its Clinical Significance in Intensity-Modulated Radiotherapy Planning of Head and Neck Cancer. Cureus. 16(2). e53769–e53769. 1 indexed citations

4.

S, Senthil Pandi, et al.. (2024). Improved Bone Cancer Diagnosis: Transfer Learning Integration with U-Net for Segmented Histopathology Image Analysis. 1–5.

5.

Kumar, Piyush, et al.. (2024). OpenCanine V1: Robotic Canine Assistance for the Visually Impaired. 1652–1656.

6.

Kumar, Piyush, et al.. (2023). A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor. Medical & Biological Engineering & Computing. 61(8). 2115–2138. 11 indexed citations

7.

Das, Anupam, et al.. (2023). Blue light and skin: what is the intriguing link?. Clinical and Experimental Dermatology. 48(9). 968–977. 6 indexed citations

8.

Kumar, Piyush, et al.. (2022). Pemphigus Vulgaris Presenting with Targetoid Lesions. Indian Journal of Dermatology. 67(4). 467–469. 1 indexed citations

9.

Fatima, Farhat, et al.. (2021). Skin and Metabolic Syndrome. Indian Journal of Dermatology. 66(3). 302–307. 13 indexed citations

10.

Kumar, Piyush, et al.. (2021). A Machine Learning Implementation for Mental Health Care. Application: Smart Watch for Depression Detection. 568–574. 25 indexed citations

11.

Kumar, Piyush, et al.. (2020). Evaluation of Adnexal Masses-Correlation of Clinical, Sonological and Histological Findings in Adnexal Masses. 22(4). 199–202.

12.

Kumar, Piyush, et al.. (2020). Enhancing profit from stock transactions using neural networks. AI Communications. 33(2). 75–92. 14 indexed citations

13.

Kumar, Piyush, et al.. (2020). QuadRoad: An Ensemble of CNNs for Road Segmentation. Procedia Computer Science. 176. 138–147. 5 indexed citations

14.

Agrawal, Manish, et al.. (2019). Stock Price Prediction using Technical Indicators: A Predictive Model using Optimal Deep Learning. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 2297–2305. 25 indexed citations

15.

Kumar, Piyush, et al.. (2019). Enhancing Profit by Predicting Stock Prices using Deep Neural Networks. 1551–1556. 8 indexed citations

16.

Kumar, Piyush, et al.. (2018). Ethical considerations in machine learning: A review of bias, fairness, and accountability. International Journal of Applied Research. 4(10). 134–137. 1 indexed citations

17.

Kumar, Piyush, et al.. (2017). Median raphe cyst: report of two cases. Dermatology Online Journal. 23(2). 2 indexed citations

18.

Mohanty, Prasant, et al.. (2016). Implementation of Cubic Spline Interpolation on Parallel Skeleton Using Pipeline Model on CPU-GPU Cluster. 747–751. 5 indexed citations

19.

Kumar, Piyush, et al.. (2015). Cheilitis glandularis. Indian Journal of Dermatology Venereology and Leprology. 81(4). 430–430.

20.

Prasad, Shitala, et al.. (2011). Plant leaf species identification using Curvelet transform. 646–652. 35 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.

Explore authors with similar magnitude of impact