Jane Labadin

1.2k total citations
74 papers, 839 citations indexed

About

Jane Labadin is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Modeling and Simulation. According to data from OpenAlex, Jane Labadin has authored 74 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 9 papers in Modeling and Simulation. Recurrent topics in Jane Labadin's work include COVID-19 epidemiological studies (9 papers), Reservoir Engineering and Simulation Methods (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Jane Labadin is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Reservoir Engineering and Simulation Methods (8 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (7 papers). Jane Labadin collaborates with scholars based in Malaysia, Saudi Arabia and Pakistan. Jane Labadin's co-authors include Abdulazeez Abdulraheem, Fatai Anifowose, Muhammad Sulaiman, Andrew Ragai Henry Rigit, Abdul Qayoom Jakhrani, Saleem Raza Samo, Andrew Walton, Mark Apperley, Sumarni Mohd Ghazali and Balvinder Singh Gill and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and International Journal of Environmental Research and Public Health.

In The Last Decade

Jane Labadin

65 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Labadin Malaysia 16 275 233 152 135 83 74 839
Yifan Wang China 18 40 0.1× 141 0.6× 85 0.6× 35 0.3× 105 1.3× 85 837
Xinyue Jiang China 8 178 0.6× 35 0.2× 27 0.2× 119 0.9× 18 0.2× 15 561
Mohammad Sattari Iran 13 63 0.2× 117 0.5× 155 1.0× 73 0.5× 108 1.3× 38 643
Gerard Olivar Colombia 21 39 0.1× 140 0.6× 21 0.1× 56 0.4× 687 8.3× 137 2.1k
Sandra Costanzo Italy 25 154 0.6× 98 0.4× 94 0.6× 41 0.3× 803 9.7× 174 1.8k
Meshal Shutaywi Saudi Arabia 26 36 0.1× 777 3.3× 25 0.2× 79 0.6× 64 0.8× 90 1.9k
Elaine P. Scott United States 20 15 0.1× 324 1.4× 303 2.0× 24 0.2× 155 1.9× 74 1.2k
J. Alberto Conejero Spain 20 17 0.1× 84 0.4× 58 0.4× 72 0.5× 74 0.9× 148 1.3k
Hanita Daud Malaysia 16 59 0.2× 46 0.2× 17 0.1× 52 0.4× 158 1.9× 128 880
Nicola Parolini Italy 17 73 0.3× 46 0.2× 70 0.5× 44 0.3× 72 0.9× 56 1.1k

Countries citing papers authored by Jane Labadin

Since Specialization
Citations

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

Fields of papers citing papers by Jane Labadin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Labadin

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Labadin. A scholar is included among the top collaborators of Jane Labadin 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 Jane Labadin. Jane Labadin 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.
Labadin, Jane, et al.. (2024). Implementation of YOLOv8-seg on store products to speed up the scanning process at point of sales. IAES International Journal of Artificial Intelligence. 13(3). 3291–3291. 1 indexed citations
2.
Salleh, Zabidin, et al.. (2024). A Compartmental Model for the Transmission Dynamics of Rabies Disease in Dog Population. Sains Malaysiana. 53(12). 3425–3435. 1 indexed citations
3.
Labadin, Jane, et al.. (2023). Exploration of spatiotemporal heterogeneity and socio-demographic determinants on COVID-19 incidence rates in Sarawak, Malaysia. BMC Public Health. 23(1). 1396–1396. 3 indexed citations
4.
Labadin, Jane, et al.. (2023). Geo-visualization of Sarawak COVID-19 Publicly Available Data Employing Open-source Geospatial Software. Universal Journal of Public Health. 11(1). 34–49.
5.
Rigit, Andrew Ragai Henry, et al.. (2022). Tidal energy assessment with hydrodynamic modelling. Indonesian Journal of Electrical Engineering and Computer Science. 29(2). 1201–1201. 1 indexed citations
6.
Gill, Balvinder Singh, Sarbhan Singh, Sumarni Mohd Ghazali, et al.. (2020). Modelling the Effectiveness of Epidemic Control Measures in Preventing the Transmission of COVID-19 in Malaysia. International Journal of Environmental Research and Public Health. 17(15). 5509–5509. 33 indexed citations
7.
Labadin, Jane, et al.. (2017). A Dynamic SEIPR Model for The Spread of Hand, Foot and Mouth Disease in Sarawak. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 125–129. 7 indexed citations
8.
Ibrahim, Dayang Hanani Abang, et al.. (2017). Achieving Reproducibility Incorporating Service Versioning into Provenance Model. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 131–138. 1 indexed citations
9.
Labadin, Jane, et al.. (2017). Preliminary Investigation: Teachers’ Perception on Computational Thinking Concepts. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 23–29. 35 indexed citations
10.
Abro, Kashif Ali, et al.. (2017). Simulating Electrohydrodynamic Ion-Drag Pumping on Distributed Parallel Computing Systems. Indian Journal of Science and Technology. 10(24). 1–5.
11.
Labadin, Jane, et al.. (2016). Android-based Disease Monitoring. Unimas Institutional Repository (Universiti Malaysia Sarawak). 5. 97–103. 1 indexed citations
12.
Labadin, Jane, et al.. (2015). Modeling using support vector machines on imbalanced data: A case study on the prediction of the sightings of Irrawaddy dolphins. AIP conference proceedings. 1660. 50011–50011. 1 indexed citations
13.
Labadin, Jane, et al.. (2015). HUMAN BEHAVIORAL CHANGES AND ITS IMPACT IN DISEASE MODELING. Jurnal Teknologi. 77(33).
14.
Labadin, Jane, et al.. (2015). Applying Bipartite Network Approach to Scarce Data: Modeling Habitat Suitability of A Marine Mammal Species. Procedia Computer Science. 60. 266–275. 4 indexed citations
15.
Anifowose, Fatai, Jane Labadin, & Abdulazeez Abdulraheem. (2014). Improving the prediction of petroleum reservoir characterization with a stacked generalization ensemble model of support vector machines. Applied Soft Computing. 26. 483–496. 121 indexed citations
16.
Anifowose, Fatai, Jane Labadin, & Abdulazeez Abdulraheem. (2013). Prediction of Petroleum Reservoir Properties using Different Versions of Adaptive Neuro-Fuzzy Inference System Hybrid Models. 5(1). 413–426. 21 indexed citations
17.
18.
Walton, Andrew, et al.. (2010). Axial Flow Between Sliding, Non-Concentric Cylinders with Applications to Thread Injection. The Quarterly Journal of Mechanics and Applied Mathematics. 63(3). 315–334. 5 indexed citations
19.
Yeo, Alvin W., et al.. (2007). Comparing normalization procedures in multiattribute decision making under various problem settings. 3 indexed citations
20.
Meziane, Farid, et al.. (1999). Towards a framework for developing educational software. University of Salford Institutional Repository (University of Salford). 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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