Shaik Razia

519 total citations
21 papers, 250 citations indexed

About

Shaik Razia is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Shaik Razia has authored 21 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Shaik Razia's work include Artificial Intelligence in Healthcare (6 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). Shaik Razia is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Smart Grid Energy Management (2 papers) and Energy Load and Power Forecasting (2 papers). Shaik Razia collaborates with scholars based in India, Brunei and Ethiopia. Shaik Razia's co-authors include M. A. Matin, Nikhat Parveen, Ramesh Chandra Poonia, Soumya Ranjan Nayak, Ajay Reddy Yeruva, Harishchander Anandaram, N. K. Anushkannan, C R Komala, K. Raja and Vinayagam Mohanavel and has published in prestigious journals such as International Journal of Photoenergy, Indian Journal of Science and Technology and ECS Transactions.

In The Last Decade

Shaik Razia

17 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaik Razia India 9 110 98 24 24 23 21 250
Khalil Maalmi Morocco 9 95 0.9× 127 1.3× 39 1.6× 19 0.8× 26 1.1× 14 243
S. P. Shantharajah India 6 108 1.0× 105 1.1× 31 1.3× 6 0.3× 34 1.5× 30 281
K. Saruladha India 8 68 0.6× 127 1.3× 38 1.6× 6 0.3× 31 1.3× 26 249
Sallauddin Mohmmad India 7 53 0.5× 51 0.5× 42 1.8× 25 1.0× 19 0.8× 37 221
Abhilash Pati India 11 110 1.0× 129 1.3× 58 2.4× 6 0.3× 57 2.5× 52 309
Najeeb Ullah Pakistan 8 75 0.7× 60 0.6× 44 1.8× 11 0.5× 47 2.0× 26 284
B. Seetharamulu India 8 67 0.6× 121 1.2× 52 2.2× 13 0.5× 37 1.6× 14 305
K. Arumugam India 6 80 0.7× 115 1.2× 63 2.6× 5 0.2× 55 2.4× 12 308
Ciril Grošelj Slovenia 6 60 0.5× 192 2.0× 11 0.5× 10 0.4× 18 0.8× 8 267

Countries citing papers authored by Shaik Razia

Since Specialization
Citations

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

Fields of papers citing papers by Shaik Razia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaik Razia

This figure shows the co-authorship network connecting the top 25 collaborators of Shaik Razia. A scholar is included among the top collaborators of Shaik Razia 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 Shaik Razia. Shaik Razia 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.
Razia, Shaik, et al.. (2023). Design of a Novel Skin Lesion Predictor Model Using Hybrid Particle Swarm Optimization and Convolutional Neural Networks. International Journal of Reliability Quality and Safety Engineering. 30(6). 2 indexed citations
2.
Razia, Shaik, et al.. (2023). An Intelligent Optimization Based Yolov5 Framework to Detect the Rice Leaf Disease. 119. 1–4. 2 indexed citations
3.
4.
Razia, Shaik, et al.. (2023). A Deep Learning-Based Approach to Optimize Power Systems with Hybrid Renewable Energy Sources. Electric Power Components and Systems. 51(16). 1740–1755. 3 indexed citations
5.
Razia, Shaik, et al.. (2023). Utilization of deep learning and semantic analysis for opinion mining in information extraction: a review. Indonesian Journal of Electrical Engineering and Computer Science. 30(1). 469–469. 1 indexed citations
6.
Razia, Shaik, et al.. (2022). APPLICATIONS OF MACHINE LEARNING ANDAUXILIARY TUMOR TREATMENT IN THE PROCESS OF MEDICAL RESOURCE ALLOCATION. ECS Transactions. 107(1). 19949–19958.
7.
Razia, Shaik, et al.. (2022). Network Intrusion Detection using Machine Learning, Deep Learning - A Review. 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). 1618–1624. 8 indexed citations
8.
Anushkannan, N. K., et al.. (2022). Deep Learning-based Automatic 3D Printer Anomaly Detection during the Printing Process. 1343–1348. 4 indexed citations
9.
Komala, C R, et al.. (2022). Deep Learning for an Innovative Photo Energy Model to Estimate the Energy Distribution in Smart Apartments. International Journal of Photoenergy. 2022. 1–8. 4 indexed citations
10.
Razia, Shaik, et al.. (2021). CNN Implementation for IDS. 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). 3 indexed citations
11.
Razia, Shaik, et al.. (2020). Implementation of Environment Gases Monitoring System using LoRa Gateway in Smart Cities with IoT Technology. Journal of Advanced Research in Dynamic and Control Systems. 12(2). 1109–1118. 1 indexed citations
12.
Razia, Shaik, et al.. (2020). Prediction of cardiovascular Disease Using Classification Techniques With High Accuracy. Journal of Advanced Research in Dynamic and Control Systems. 12(2). 1134–1139. 5 indexed citations
13.
Razia, Shaik, et al.. (2020). Reducing Overfitting Problem in Machine Learning Using Novel L1/4 Regularization Method. 934–938. 32 indexed citations
14.
Razia, Shaik, et al.. (2020). Fuzzy rule based intelligent system for user authentication based on user behaviour. Journal of Discrete Mathematical Sciences and Cryptography. 23(2). 409–417. 10 indexed citations
15.
Razia, Shaik, et al.. (2020). Discover the Adaption of Big Data Study in EHR Information. IOP Conference Series Materials Science and Engineering. 981(2). 22022–22022.
16.
Razia, Shaik, et al.. (2020). Machine Learning Techniques for Thyroid Disease Diagnosis: A Systematic Review. Studies in computational intelligence. 203–212. 16 indexed citations
17.
Razia, Shaik, et al.. (2019). Heart Disease Prediction using Machine Learning Techniques. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 10316–10320. 72 indexed citations
18.
Razia, Shaik, et al.. (2018). A Comparative study of machine learning algorithms on thyroid disease prediction. International Journal of Engineering & Technology. 7(2.8). 315–315. 31 indexed citations
19.
Razia, Shaik, et al.. (2016). Machine Learning Techniques for Thyroid Disease Diagnosis - A Review. Indian Journal of Science and Technology. 9(28). 34 indexed citations
20.
Razia, Shaik, et al.. (2012). Performance analysis of adaptive beamforming algorithm for smart antenna system. 946–949. 10 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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