D.C. Joy Winnie Wise

429 total citations
19 papers, 220 citations indexed

About

D.C. Joy Winnie Wise is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems. According to data from OpenAlex, D.C. Joy Winnie Wise has authored 19 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 5 papers in Signal Processing and 4 papers in Information Systems. Recurrent topics in D.C. Joy Winnie Wise's work include IoT and GPS-based Vehicle Safety Systems (3 papers), Time Series Analysis and Forecasting (3 papers) and IoT and Edge/Fog Computing (3 papers). D.C. Joy Winnie Wise is often cited by papers focused on IoT and GPS-based Vehicle Safety Systems (3 papers), Time Series Analysis and Forecasting (3 papers) and IoT and Edge/Fog Computing (3 papers). D.C. Joy Winnie Wise collaborates with scholars based in India, United States and Nepal. D.C. Joy Winnie Wise's co-authors include N. Muthukumaran, S. Gayathri, C. Srinivasan, A. Govindarajan, Sanjay Saxena and P. Chinnasamy and has published in prestigious journals such as 2022 International Conference on Computer Communication and Informatics (ICCCI), ScholarSpace (University of Hawaii at Manoa) and 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI).

In The Last Decade

D.C. Joy Winnie Wise

16 papers receiving 184 citations

Peers

D.C. Joy Winnie Wise
D.C. Joy Winnie Wise
Citations per year, relative to D.C. Joy Winnie Wise D.C. Joy Winnie Wise (= 1×) peers Leema Nelson

Countries citing papers authored by D.C. Joy Winnie Wise

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Joy Winnie Wise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.C. Joy Winnie Wise. 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 D.C. Joy Winnie Wise. The network helps show where D.C. Joy Winnie Wise may publish in the future.

Co-authorship network of co-authors of D.C. Joy Winnie Wise

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

All Works

19 of 19 papers shown
1.
Govindarajan, A., et al.. (2024). IoT and Random Forest-Based Solutions for Blood Gas Quality Assurance in Clinical Laboratories. 340–345. 10 indexed citations
3.
Wise, D.C. Joy Winnie, et al.. (2024). Optimizing Restroom Resources: A Smart Toilet Paper Dispensing System using Reinforcement Learning Algorithm. 915–920. 3 indexed citations
5.
Wise, D.C. Joy Winnie, et al.. (2022). A Novel Approach of Applying Rank Ordering Clustering Algorithm in Agricultural Data. 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT). 456–459. 3 indexed citations
6.
Chinnasamy, P., et al.. (2022). Adaptive Intelligence System based on the Internet of Things for Patient Monitoring in Remote Area. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–6. 8 indexed citations
7.
Wise, D.C. Joy Winnie, et al.. (2021). Health Decision Support System Based on Machine Learning via Big Data. 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI). 8. 1661–1666. 1 indexed citations
8.
Wise, D.C. Joy Winnie, et al.. (2020). Retraction Notice: Dress code Surveillance Using Deep learning. 1–1.
9.
Wise, D.C. Joy Winnie, et al.. (2020). Cloud based Smart Healthcare Management System Using Blue Eyes Technology. 409–414. 9 indexed citations
10.
Wise, D.C. Joy Winnie, et al.. (2020). Designing A Model for Weather Forecasting Using Machine Learning. 385–388. 5 indexed citations
11.
Gayathri, S., et al.. (2020). Image Analysis and Detection of Tea Leaf Disease using Deep Learning. 398–403. 130 indexed citations
12.
Wise, D.C. Joy Winnie, et al.. (2020). Detection and Differentiation of Skin Cancer from Rashes. 389–393. 16 indexed citations
14.
Wise, D.C. Joy Winnie, et al.. (2020). Detecting Security Vulnerabilities in Website using Python. 844–846. 5 indexed citations
15.
Wise, D.C. Joy Winnie, et al.. (2020). A Real Time Auditing System using QR Code for Secure Cloud Storage. 847–850.
16.
Wise, D.C. Joy Winnie, et al.. (2020). Course Recommendation for students using Machine Learning. 381–384. 4 indexed citations
17.
Wise, D.C. Joy Winnie, et al.. (2018). Forecasting Dengue Fever using Classification Techniques in Data Mining. 6. 398–401. 3 indexed citations
18.
Wise, D.C. Joy Winnie, et al.. (2016). Improved Hole Detection Healing and Replacing Algorithm for Optimal Coverage in Wireless Sensor Networks. International Journal of Scientific Research in Science Engineering and Technology. 2(2). 724–731. 3 indexed citations
19.
Wise, D.C. Joy Winnie. (2006). Creating Community in the Virtual Classroom:Choosing Tegrity As A Pedagogical Tool. ScholarSpace (University of Hawaii at Manoa). 1 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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