Sasmita Padhy

713 total citations
40 papers, 353 citations indexed

About

Sasmita Padhy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sasmita Padhy has authored 40 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Sasmita Padhy's work include Artificial Intelligence in Healthcare (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Vehicle License Plate Recognition (4 papers). Sasmita Padhy is often cited by papers focused on Artificial Intelligence in Healthcare (5 papers), Chaos-based Image/Signal Encryption (5 papers) and Vehicle License Plate Recognition (4 papers). Sasmita Padhy collaborates with scholars based in India, Saudi Arabia and China. Sasmita Padhy's co-authors include Prasant Kumar Pattnaik, Sachikanta Dash, K. Abhimanyu Kumar Patro, Sidheswar Routray, Prince Priya Malla, Naween Kumar, Hesham Alhumyani, Bijay Ketan Panigrahi, Archana Sarangi and Yinan Qi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Sasmita Padhy

31 papers receiving 333 citations

Peers

Sasmita Padhy

AI

CNC

CVPR

EEE

IS

Jiayu Liang China

S. Janakiraman India

Waleed Yamany Egypt

Abdulaziz Alhumam Saudi Arabia

Santhosh Krishna B V India

Omar Saber Qasim Iraq

Jieming Yang China

Nagaraju Devarakonda India

Jiayu Liang China

Sasmita Padhy

253 ×2.4

AI

24 ×0.3

CNC

111 ×1.8

CVPR

30 ×0.5

EEE

27 ×0.5

IS

Citations per year, relative to Sasmita Padhy Sasmita Padhy (= 1×) peers Jiayu Liang

Countries citing papers authored by Sasmita Padhy

Since Specialization

Citations

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

Fields of papers citing papers by Sasmita Padhy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sasmita Padhy

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

All Works

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20 of 20 papers shown

1.

Padhy, Sasmita. (2025). Impact of Artificial Intelligence on Education and Research: Pedagogy, Learning Analytics, and Academic Transformation.

2.

Padhy, Sasmita, et al.. (2025). Temporal integration of ResNet features with LSTM for enhanced skin lesion classification. Results in Engineering. 25. 104201–104201. 6 indexed citations

3.

Dash, Sachikanta, et al.. (2024). Predictive Modelling of Diabetes Complications: Insights from Binary Classifier on Chronic Diabetic Mellitus. 1912–1920. 3 indexed citations

4.

Kumar, Naween, et al.. (2024). Improving Breast Cancer Diagnosis: Insights From Machine Learning Models. 1668–1672.

5.

Dash, Sachikanta, et al.. (2024). Diabetic Foot Ulcer Diagnosis Through Deep Learning Model. 1194–1199.

6.

Padhy, Sasmita, et al.. (2024). An Improved Deep Learning-Based Intrusion Detection for Reliable Communication in VANET. IEEE Transactions on Consumer Electronics. 71(1). 209–217. 9 indexed citations

7.

Dash, Sachikanta, et al.. (2024). Implementation of Customized Convolutional Neural Networks for Handwritten Marathi Character Recognition. 1–6.

8.

Padhy, Sasmita, et al.. (2024). Automated Classification of Mouth Cancers for Early Cancer Detection Using a VGG-16 Inspired CNN. 1200–1205.

9.

Dash, Sachikanta, et al.. (2024). Optimized Deep Belief Networks Based Categorization of Type 2 Diabetes using Tabu Search Optimization. International Journal of Advanced Computer Science and Applications. 15(3). 4 indexed citations

10.

Dash, Sachikanta, et al.. (2023). An efficient Intra-Inter pixel encryption scheme to secure healthcare images for an IoT environment. Expert Systems with Applications. 231. 120622–120622. 24 indexed citations

11.

Padhy, Sasmita, et al.. (2023). A hybrid crypto-compression model for secure brain mri image transmission. Multimedia Tools and Applications. 83(8). 24361–24381. 8 indexed citations

12.

Padhy, Sasmita, et al.. (2023). Intelligent Hardware for Preventing Road Accidents Through the Use of Image Processing. 313–321. 1 indexed citations

13.

Padhy, Sasmita, et al.. (2023). AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain. Processes. 11(3). 757–757. 34 indexed citations

14.

Dash, Sachikanta, et al.. (2023). Identification of Polyp from Colonoscopy Images by Deep Belief Network based Polyp Detector Integration Model. EAI Endorsed Transactions on Pervasive Health and Technology. 9. 2 indexed citations

15.

Padhy, Sasmita, et al.. (2023). A Case Study on the Multi-Hopping Performance of IoT Network Used for Farm Monitoring. Automatic Control and Computer Sciences. 57(1). 70–80. 2 indexed citations

16.

Padhy, Sasmita, et al.. (2023). Creation of 6G Communication System for VANETs via a Neuro-Fuzzy Forwarder Selection Scheme. IEEE Transactions on Services Computing. 17(4). 1426–1434. 3 indexed citations

17.

Kumar, Naween, et al.. (2022). Utilization of Blockchain in E-Voting System. 2022 2nd International Conference on Intelligent Technologies (CONIT). 1–5. 6 indexed citations

18.

Dash, Sachikanta, et al.. (2022). CNN Based Handwritten Odia Character Recognition. 267–273.

19.

Mohanty, Subhasish, et al.. (2022). Generating Higher Order Mutants using PSO with Levy Flight(LFPSO) Algorithm. 75–79. 2 indexed citations

20.

Padhy, Sasmita, et al.. (2014). Dynamic task scheduling using a directed neural network. Journal of Parallel and Distributed Computing. 75. 101–106. 38 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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