Aimrun Wayayok

2.5k total citations
145 papers, 1.8k citations indexed

About

Aimrun Wayayok is a scholar working on Plant Science, Environmental Engineering and Soil Science. According to data from OpenAlex, Aimrun Wayayok has authored 145 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Plant Science, 41 papers in Environmental Engineering and 35 papers in Soil Science. Recurrent topics in Aimrun Wayayok's work include Rice Cultivation and Yield Improvement (22 papers), Soil Geostatistics and Mapping (21 papers) and Smart Agriculture and AI (19 papers). Aimrun Wayayok is often cited by papers focused on Rice Cultivation and Yield Improvement (22 papers), Soil Geostatistics and Mapping (21 papers) and Smart Agriculture and AI (19 papers). Aimrun Wayayok collaborates with scholars based in Malaysia, Nigeria and Iraq. Aimrun Wayayok's co-authors include Ahmad Fikri Abdullah, Md. Sadiqul Amin, Md Rowshon Kamal, Asa Gholizadeh, Mohammadmehdi Saberioon, Helmi Zulhaidi Mohd Shafri, Mohd Amin Mohd Soom, Muhammad Amin, Abdul Rahim Anuar and Abdul Rashid Mohamed Shariff and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and IEEE Access.

In The Last Decade

Aimrun Wayayok

132 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aimrun Wayayok Malaysia 22 689 448 401 360 357 145 1.8k
Vinay Kumar Sehgal India 24 630 0.9× 350 0.8× 569 1.4× 447 1.2× 208 0.6× 157 1.8k
Tibor Tóth Hungary 20 450 0.7× 354 0.8× 209 0.5× 295 0.8× 512 1.4× 122 1.5k
Daran R. Rudnick United States 21 620 0.9× 281 0.6× 476 1.2× 215 0.6× 599 1.7× 80 1.4k
Ruixiu Sui United States 21 621 0.9× 331 0.7× 315 0.8× 285 0.8× 495 1.4× 80 1.3k
Bappa Das India 25 733 1.1× 372 0.8× 402 1.0× 459 1.3× 319 0.9× 114 1.9k
José Fernando Ortega Álvarez Spain 27 812 1.2× 425 0.9× 433 1.1× 579 1.6× 895 2.5× 87 2.1k
Daniel K. Fisher United States 24 817 1.2× 295 0.7× 520 1.3× 128 0.4× 426 1.2× 67 1.7k
Amy L. Kaleita United States 19 304 0.4× 352 0.8× 227 0.6× 305 0.8× 303 0.8× 84 1.2k
Susan A. O’Shaughnessy United States 25 938 1.4× 333 0.7× 742 1.9× 300 0.8× 862 2.4× 71 1.7k

Countries citing papers authored by Aimrun Wayayok

Since Specialization
Citations

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

Fields of papers citing papers by Aimrun Wayayok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimrun Wayayok

This figure shows the co-authorship network connecting the top 25 collaborators of Aimrun Wayayok. A scholar is included among the top collaborators of Aimrun Wayayok 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 Aimrun Wayayok. Aimrun Wayayok 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
2.
Gibril, Mohamed Barakat A., Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, et al.. (2024). Large-scale assessment of date palm plantations based on UAV remote sensing and multiscale vision transformer. Remote Sensing Applications Society and Environment. 34. 101195–101195. 6 indexed citations
3.
Shafri, Helmi Zulhaidi Mohd, et al.. (2023). Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach. Geospatial health. 18(1). 2 indexed citations
4.
Shafri, Helmi Zulhaidi Mohd, et al.. (2023). A Deep Learning Approach for Dengue Fever Prediction in Malaysia Using LSTM with Spatial Attention. International Journal of Environmental Research and Public Health. 20(5). 4130–4130. 27 indexed citations
5.
Gibril, Mohamed Barakat A., Helmi Zulhaidi Mohd Shafri, Abdallah Shanableh, et al.. (2022). Deep convolutional neural networks and Swin transformer-based frameworks for individual date palm tree detection and mapping from large-scale UAV images. Geocarto International. 37(27). 18569–18599. 12 indexed citations
6.
Shariff, Abdul Rashid Mohamed, et al.. (2021). Vegetation Effects on Soil Moisture Retrieval from Water Cloud Model Using PALSAR-2 for Oil Palm Trees. Remote Sensing. 13(20). 4023–4023. 8 indexed citations
7.
Shariff, Abdul Rashid Mohamed, et al.. (2021). Utilizing TVDI and NDWI to Classify Severity of Agricultural Drought in Chuping, Malaysia. Agronomy. 11(6). 1243–1243. 43 indexed citations
8.
Shafie, Suhaidi, et al.. (2021). Performance analysis of thermoelectric generator implemented on non-uniform heat distribution of photovoltaic module. Energy Reports. 7. 2379–2387. 28 indexed citations
9.
Maluin, Farhatun Najat, et al.. (2021). Some Emerging Opportunities of Nanotechnology Development for Soilless and Microgreen Farming. Agronomy. 11(6). 1213–1213. 49 indexed citations
10.
Shariff, Abdul Rashid Mohamed, et al.. (2021). Comparison of Field and SAR-Derived Descriptors in the Retrieval of Soil Moisture from Oil Palm Crops Using PALSAR-2. Remote Sensing. 13(23). 4729–4729. 5 indexed citations
11.
Hashim, Norhashila, et al.. (2020). Optical imaging techniques for rice diseases detection: A review. Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia). 1(1). 1–11. 6 indexed citations
12.
Wayayok, Aimrun, J Daneshian, Majid Mirzaei, et al.. (2020). Effects of Projected Climate Change on Quantity and Quality of Soybean Yield under Different Emission Scenarios. Current Science. 118(1). 103–103. 4 indexed citations
13.
Ghazali, Abdul Halim, et al.. (2016). Downscaling daily precipitation and temperatures over the Langat River Basin in Malaysia: A comparison of two statistical downscaling approaches. International Journal of Water Resources and Environmental Engineering. 8(10). 120–136. 19 indexed citations
14.
Wayayok, Aimrun, et al.. (2015). Single Seedling Nursery Tray: An Innovative Breakthrough to Quality Seedling Raising Technique for SRI Transplanting Machine. Research Journal of Applied Sciences Engineering and Technology. 10(11). 1258–1265. 3 indexed citations
15.
Wayayok, Aimrun, et al.. (2014). Determination of some physical properties of common Malaysian rice MR219 seeds.. Australian Journal of Crop Science. 8(3). 332–337. 11 indexed citations
16.
Wayayok, Aimrun, et al.. (2013). Application of geographical information system for farm mechanization education and training. 2(4). 196–203. 2 indexed citations
17.
Amin, Md. Sadiqul, et al.. (2013). Evaluation of Different ET0 Calculation Methods: A Case Study in Kano State, Nigeria. Philippine Agricultural Scientist. 95(4). 394–399. 5 indexed citations
18.
Taha, Mastura Mohammad, et al.. (2011). Characterization of paddy soil compaction based on soil apparent electrical conductivity zones. African Journal of Agricultural Research. 6(11). 2506–2515. 8 indexed citations
19.
Wayayok, Aimrun, et al.. (2011). Paddy soil properties and yield characteristics based on apparent electrical conductivity zone delineation for a humid tropical rice farm. African Journal of Agricultural Research. 6(23). 5339–5350. 11 indexed citations
20.
Wayayok, Aimrun, et al.. (2002). Spatial variability of N, P, and K in rice field in Sawah Sempadan, Malaysia. SHILAP Revista de lepidopterología. 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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