Chin S. Tan

579 total citations
32 papers, 449 citations indexed

About

Chin S. Tan is a scholar working on Environmental Chemistry, Soil Science and Water Science and Technology. According to data from OpenAlex, Chin S. Tan has authored 32 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Chemistry, 13 papers in Soil Science and 10 papers in Water Science and Technology. Recurrent topics in Chin S. Tan's work include Soil and Water Nutrient Dynamics (15 papers), Hydrology and Watershed Management Studies (10 papers) and Soil erosion and sediment transport (7 papers). Chin S. Tan is often cited by papers focused on Soil and Water Nutrient Dynamics (15 papers), Hydrology and Watershed Management Studies (10 papers) and Soil erosion and sediment transport (7 papers). Chin S. Tan collaborates with scholars based in Canada, United States and Singapore. Chin S. Tan's co-authors include Susan E. Weaver, Tiequan Zhang, Zhiming Qi, R. E. C. Layne, Naeem Akhtar Abbasi, Chandra A. Madramootoo, Shiv O. Prasher, Chun‐Chieh Yang, Liwang Ma and C. F. Drury and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Chin S. Tan

32 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chin S. Tan Canada 13 219 155 110 93 86 32 449
Arjun Pandey Australia 10 224 1.0× 276 1.8× 108 1.0× 51 0.5× 82 1.0× 16 523
Rolf O. Kuchenbuch Germany 10 168 0.8× 145 0.9× 126 1.1× 56 0.6× 53 0.6× 15 365
Mohammad Esmaeil Asadi Iran 7 220 1.0× 211 1.4× 54 0.5× 37 0.4× 112 1.3× 12 389
Biqing Zhou China 11 189 0.9× 355 2.3× 78 0.7× 35 0.4× 50 0.6× 16 583
Karoline D’Haene Belgium 13 128 0.6× 246 1.6× 192 1.7× 28 0.3× 66 0.8× 30 444
R. C. Nuti United States 13 241 1.1× 234 1.5× 44 0.4× 50 0.5× 63 0.7× 43 456
Danielle Vieira Guimarães Brazil 9 105 0.5× 362 2.3× 77 0.7× 37 0.4× 52 0.6× 24 523
Guangmin Xiao China 7 140 0.6× 222 1.4× 84 0.8× 46 0.5× 112 1.3× 10 401
Richard J. Norman United States 14 281 1.3× 267 1.7× 81 0.7× 21 0.2× 72 0.8× 29 513
Roland D. Meyer United States 9 117 0.5× 109 0.7× 90 0.8× 77 0.8× 33 0.4× 24 373

Countries citing papers authored by Chin S. Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chin S. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin S. Tan. 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 Chin S. Tan. The network helps show where Chin S. Tan may publish in the future.

Co-authorship network of co-authors of Chin S. Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chin S. Tan. A scholar is included among the top collaborators of Chin S. Tan 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 Chin S. Tan. Chin S. Tan 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.
Tan, Chin S., Abhishek Gupta, Yew-Soon Ong, et al.. (2023). Pareto optimization with small data by learning across common objective spaces. Scientific Reports. 13(1). 7842–7842. 9 indexed citations
2.
Zhang, Tiequan, et al.. (2023). Agronomic approach to evaluate the nitrogen use efficiency of liquid, solid, and composted swine manures in corn–soybean rotation. Frontiers in Environmental Science. 11. 4 indexed citations
3.
Chong, Chin Soon, et al.. (2022). Development of a Data-Driven Simulation Model for an Assembly-To-Order System. 2022 Winter Simulation Conference (WSC). 7. 1853–1863. 1 indexed citations
4.
Wang, Zhaozhi, Tiequan Zhang, Chin S. Tan, et al.. (2022). Modeling tillage and manure application on soil phosphorous loss under climate change. Nutrient Cycling in Agroecosystems. 122(2). 219–239. 2 indexed citations
5.
Wang, Yutao, Tiequan Zhang, O. O. Akinremi, et al.. (2022). Phosphorus characteristics of Canada-wide animal manures and implications for sustainable manure management with a cleaner environment. The Science of The Total Environment. 845. 157200–157200. 12 indexed citations
6.
Abbasi, Naeem Akhtar, Chandra A. Madramootoo, Tiequan Zhang, & Chin S. Tan. (2022). Soil nutrients and plant uptake parameters as related to greenhouse gas emissions. Journal of Environmental Quality. 51(6). 1129–1143. 8 indexed citations
7.
Abbasi, Naeem Akhtar, Abderrachid Hamrani, Chandra A. Madramootoo, et al.. (2021). Modelling carbon dioxide emissions under a maize-soy rotation using machine learning. Biosystems Engineering. 212. 1–18. 29 indexed citations
8.
Wang, Zhaozhi, Tiequan Zhang, Chin S. Tan, & Zhiming Qi. (2020). Modeling of phosphorus loss from field to watershed: A review. Journal of Environmental Quality. 49(5). 1203–1224. 17 indexed citations
9.
Qi, Zhiming, et al.. (2018). Development and evaluation of a phosphorus (P) module in RZWQM2 for phosphorus management in agricultural fields. Environmental Modelling & Software. 113. 48–58. 24 indexed citations
10.
Reynolds, W. D., C. F. Drury, Gary W. Parkin, et al.. (2016). Solute dynamics and the Ontario nitrogen index: I. Chloride leaching. Canadian Journal of Soil Science. 96(2). 105–121. 11 indexed citations
11.
O’Halloran, I. P., et al.. (2014). Langmuir Equation Modifications to Describe Phosphorus Sorption in Soils of Ontario, Canada. Soil Science. 179(12). 536–546. 4 indexed citations
12.
Yang, Chun‐Chieh, Shiv O. Prasher, Shaoli Wang, et al.. (2006). Simulation of nitrate-N movement in southern Ontario, Canada with DRAINMOD-N. Agricultural Water Management. 87(3). 299–306. 28 indexed citations
13.
Yang, Chun‐Chieh, Chin S. Tan, & Shiv O. Prasher. (2000). ARTIFICIAL NEURAL NETWORKS FOR SUBSURFACE DRAINAGE AND SUBIRRIGATION SYSTEMS IN ONTARIO, CANADA1. JAWRA Journal of the American Water Resources Association. 36(3). 609–618. 4 indexed citations
14.
Yang, Chun‐Chieh, Shiv O. Prasher, & Chin S. Tan. (1999). AN ARTIFICIAL NEURAL NETWORK MODEL FOR WATER TABLE MANAGEMENT SYSTEMS. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 24(1). 25–33. 6 indexed citations
15.
Layne, R. E. C., Chin S. Tan, David M. Hunter, & R. A. Cline. (1996). Irrigation and Fertilizer Application Methods Affect Performance of High-density Peach Orchards. HortScience. 31(3). 370–375. 10 indexed citations
16.
Tan, Chin S.. (1992). Effect of different water content, sample number, and soil type on determination of soil water using a home microwave oven. Soil Science & Plant Nutrition. 38(2). 381–384. 3 indexed citations
17.
Papadopoulos, Athanasios P. & Chin S. Tan. (1991). Irrigation of greenhouse tomatoes grown in "Harrow" peat-bags. Canadian Journal of Plant Science. 71(3). 947–949. 1 indexed citations
18.
Layne, R. E. C. & Chin S. Tan. (1988). Influence of Cultivars, Ground Covers, and Trickle Irrigation on Early Growth, Yield, and Cold Hardiness of Peaches on Fox Sand. Journal of the American Society for Horticultural Science. 113(4). 518–525. 15 indexed citations
19.
Weaver, Susan E., et al.. (1987). Estimating Yield Losses of Tomatoes (Lycopersicon esculentum) Caused by Nightshade (Solanumspp.) Interference. Weed Science. 35(2). 163–168. 61 indexed citations
20.
Weaver, Susan E. & Chin S. Tan. (1983). Critical Period of Weed Interference in Transplanted Tomatoes (Lycopersicon esculentum): Growth Analysis. Weed Science. 31(4). 476–481. 97 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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