Yajnaseni Dash

522 total citations
36 papers, 305 citations indexed

About

Yajnaseni Dash is a scholar working on Computer Networks and Communications, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Yajnaseni Dash has authored 36 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Environmental Engineering. Recurrent topics in Yajnaseni Dash's work include Hydrological Forecasting Using AI (8 papers), Energy Load and Power Forecasting (5 papers) and Machine Learning and ELM (4 papers). Yajnaseni Dash is often cited by papers focused on Hydrological Forecasting Using AI (8 papers), Energy Load and Power Forecasting (5 papers) and Machine Learning and ELM (4 papers). Yajnaseni Dash collaborates with scholars based in India, Malaysia and Germany. Yajnaseni Dash's co-authors include Bijaya Ketan Panigrahi, Saroj K. Mishra, Anamika Yadav, Sandeep Sahany, Ajay Rana, Sanjay Kumar Dubey, Naween Kumar, Ajith Abraham, Ajith Abraham and Sanjay Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Epilepsia.

In The Last Decade

Yajnaseni Dash

27 papers receiving 294 citations

Peers

Yajnaseni Dash

EEE

EE

CSE

CNC

AI

M. Pushpalatha India

Mingshan Xie China

Yongnan Ji United Kingdom

Y. Radhika India

Nikos Temenos Greece

Su-Kit Tang Macao

Alhareth Zyoud Malaysia

Prakhar Srivastava India

Shouxu Jiang China

Rajeev Ranjan India

M. Pushpalatha India

Yajnaseni Dash

104 ×0.9

EEE

120 ×1.2

EE

11 ×0.1

CSE

111 ×2.1

CNC

81 ×1.6

AI

Citations per year, relative to Yajnaseni Dash Yajnaseni Dash (= 1×) peers M. Pushpalatha

Countries citing papers authored by Yajnaseni Dash

Since Specialization

Citations

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

Fields of papers citing papers by Yajnaseni Dash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajnaseni Dash

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

Dash, Yajnaseni, Archana Singh, Ravinder Goswami, et al.. (2025). Role of vitamin D supplementation and vitamin D receptor in drug‐resistant epilepsy: A double‐blind placebo‐controlled trial conducted in India. Epilepsia. 66(10). 3716–3729.

2.

Dash, Yajnaseni, et al.. (2025). Improving Object Detection in High-Altitude Infrared Thermal Images Using Magnitude-Based Pruning and Non-Maximum Suppression. Journal of Imaging. 11(3). 69–69.

3.

Dash, Yajnaseni & Ajith Abraham. (2024). Integrating empirical analysis and deep learning for accurate monsoon prediction in Kerala, India. SHILAP Revista de lepidopterología. 24. 100211–100211.

4.

Dash, Yajnaseni, et al.. (2024). Is there any concern of insulin resistance and metabolic dysfunctions with antiseizure medications? A prospective comparative study of valproate vs. levetiracetam. Seizure. 121. 123–132. 1 indexed citations

5.

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

6.

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

7.

Sinha, Surabhi, et al.. (2024). Effect of trans 4-butylcyclohexane carboxylic acid (4-BCCA) upon neurodegeneration, oxidative stress related to epileptogenesis in pilocarpine-induced status epilepticus. Epilepsy Research. 209. 107471–107471.

8.

Dash, Yajnaseni, Naween Kumar, & Ajith Abraham. (2024). Edge of Innovation: Exploring the Potential of Edge Computing and Content Delivery Networks. 1228–1233. 1 indexed citations

9.

Kumar, Naween, et al.. (2024). Intelligent Multi-Cloud Orchestration for AI Workloads: Enhancing Performance and Reliability. 1421–1426. 3 indexed citations

10.

Dash, Yajnaseni, et al.. (2024). Advances in Medical Text Summarization: Comparative Performance Analysis of PEGASUS and T5. 1–5. 1 indexed citations

11.

Kumar, Naween, et al.. (2024). Deep Learning Based Encoder-Decoder Model for Skin Cancer Classification. 1454–1459.

12.

Dash, Yajnaseni, et al.. (2023). Caching Techniques in Edge Computing and Challenges. 360–367. 5 indexed citations

13.

Dash, Yajnaseni, et al.. (2023). Fog Computing: Applications in Smart Healthcare. 903–909. 4 indexed citations

14.

Dash, Yajnaseni, et al.. (2019). Neural Network Based Approaches for Prediction of the Indian Summer Monsoon Rainfall. 550–554. 3 indexed citations

15.

Dash, Yajnaseni, et al.. (2019). Application of Machine Learning and Big data Analytics in Pharmacovigilance and Drug Safety. 555–559. 2 indexed citations

16.

Dash, Yajnaseni, Saroj K. Mishra, & Bijaya Ketan Panigrahi. (2018). Rainfall prediction for the Kerala state of India using artificial intelligence approaches. Computers & Electrical Engineering. 70. 66–73. 88 indexed citations

17.

Dash, Yajnaseni, Saroj K. Mishra, Sandeep Sahany, & Bijaya Ketan Panigrahi. (2017). Indian summer monsoon rainfall prediction: A comparison of iterative and non-iterative approaches. Applied Soft Computing. 70. 1122–1134. 31 indexed citations

18.

Dash, Yajnaseni, et al.. (2016). Evaluation of Performance on Open MP Parallel Platform based on Problem Size. International Journal of Modern Education and Computer Science. 8(6). 35–40. 2 indexed citations

19.

Dash, Yajnaseni, et al.. (2015). A Survey on Serial and Parallel Optimization Techniques Applicable for Matrix Multiplication Algorithm. 3(1). 71–77. 3 indexed citations

20.

Yadav, Anamika & Yajnaseni Dash. (2014). An Overview of Transmission Line Protection by Artificial Neural Network: Fault Detection, Fault Classification, Fault Location, and Fault Direction Discrimination. 2014. 1–20. 70 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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