K U Jaseena

509 total citations · 1 hit paper
12 papers, 367 citations indexed

About

K U Jaseena is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, K U Jaseena has authored 12 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 3 papers in Management Science and Operations Research. Recurrent topics in K U Jaseena's work include Energy Load and Power Forecasting (7 papers), Solar Radiation and Photovoltaics (4 papers) and Hydrological Forecasting Using AI (2 papers). K U Jaseena is often cited by papers focused on Energy Load and Power Forecasting (7 papers), Solar Radiation and Photovoltaics (4 papers) and Hydrological Forecasting Using AI (2 papers). K U Jaseena collaborates with scholars based in India. K U Jaseena's co-authors include Binsu C. Kovoor and has published in prestigious journals such as Energy Conversion and Management, Journal of King Saud University - Computer and Information Sciences and Wind Engineering.

In The Last Decade

K U Jaseena

11 papers receiving 355 citations

Hit Papers

Decomposition-based hybrid wind speed forecasting model u... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks
    2021 238 citations K U Jaseena, Binsu C. Kovoor Energy Conversion and Management profile →

Peers

K U Jaseena
Tonglin Fu China
Yiyan Li China
Zhiyuan Zhao China
Jikai Duan China
Zhaoshuang He China
Seyed Matin Malakouti Iran
Yun Ju China
Shaoqian Pei China
Zhewen Niu China
Shahram Hanifi United Kingdom
Tonglin Fu China
K U Jaseena
Citations per year, relative to K U Jaseena K U Jaseena (= 1×) peers Tonglin Fu

Countries citing papers authored by K U Jaseena

Since Specialization
Citations

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

Fields of papers citing papers by K U Jaseena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K U Jaseena. 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 K U Jaseena. The network helps show where K U Jaseena may publish in the future.

Co-authorship network of co-authors of K U Jaseena

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

All Works

12 of 12 papers shown
1.
Jaseena, K U, et al.. (2024). Wound Tissue Segmentation and Classification Using U-Net and Random Forest. Journal of Information & Knowledge Management. 23(5). 1 indexed citations
2.
Jaseena, K U, et al.. (2023). Credit Card Fraud Detection - A Machine Learning Perspective. International Journal of Science and Research (IJSR). 12(11). 2002–2009. 1 indexed citations
3.
Jaseena, K U & Binsu C. Kovoor. (2021). An Improved Multivariate Weather Prediction Model Using Deep Neural Networks and Particle Swarm Optimisation. Journal of Information & Knowledge Management. 2150029–2150029. 2 indexed citations
4.
Jaseena, K U & Binsu C. Kovoor. (2021). EEMD-based Wind Speed Forecasting system using Bidirectional LSTM networks. 1–9. 6 indexed citations
5.
Jaseena, K U & Binsu C. Kovoor. (2021). Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks. Energy Conversion and Management. 234. 113944–113944. 238 indexed citations breakdown →
6.
Jaseena, K U & Binsu C. Kovoor. (2020). A Wavelet-based hybrid multi-step Wind Speed Forecasting model using LSTM and SVR. Wind Engineering. 45(5). 1123–1144. 18 indexed citations
7.
Jaseena, K U & Binsu C. Kovoor. (2020). Deterministic weather forecasting models based on intelligent predictors: A survey. Journal of King Saud University - Computer and Information Sciences. 34(6). 3393–3412. 50 indexed citations
8.
Jaseena, K U & Binsu C. Kovoor. (2020). A hybrid wind speed forecasting model using stacked autoencoder and LSTM. Journal of Renewable and Sustainable Energy. 12(2). 32 indexed citations
9.
Kovoor, Binsu C., et al.. (2019). Big data Classification based on Distributed Fuzzy Decision Trees. SSRN Electronic Journal.
10.
Jaseena, K U & Binsu C. Kovoor. (2019). Deep learning based multi-step short term wind speed forecasts with LSTM. 1–6. 5 indexed citations
11.
Jaseena, K U. (2018). A SURVEY ON DEEP LEARNING TECHNIQUES FOR BIG DATA IN BIOMETRICS. International Journal of Advanced Research in Computer Science. 9(1). 12–17. 5 indexed citations
12.
Jaseena, K U, et al.. (2011). Text Watermarking using Combined Image and Text for Authentication and Protection. International Journal of Computer Applications. 20(4). 8–13. 9 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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