S.M. Low

432 total citations · 1 hit paper
12 papers, 324 citations indexed

About

S.M. Low is a scholar working on Organic Chemistry, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, S.M. Low has authored 12 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 9 papers in Polymers and Plastics and 3 papers in Materials Chemistry. Recurrent topics in S.M. Low's work include Advanced Polymer Synthesis and Characterization (9 papers), Polymer crystallization and properties (5 papers) and Polymer Science and PVC (4 papers). S.M. Low is often cited by papers focused on Advanced Polymer Synthesis and Characterization (9 papers), Polymer crystallization and properties (5 papers) and Polymer Science and PVC (4 papers). S.M. Low collaborates with scholars based in Singapore and South Korea. S.M. Low's co-authors include Xiaonan Wang, Manu Suvarna, Ki Bong Lee, Yong Sik Ok, Xiangzhou Yuan, Jie Li, Pavani Dulanja Dissanayake, S. H. Goh and Jiebin Peng and has published in prestigious journals such as Environmental Science & Technology, Macromolecules and Polymer.

In The Last Decade

S.M. Low

10 papers receiving 321 citations

Hit Papers

Applied Machine Learning for Prediction of CO2 Adsorption... 2021 2026 2022 2024 2021 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons
    2021 273 citations Xiangzhou Yuan, Manu Suvarna et al. Environmental Science & Technology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.M. Low Singapore 6 108 85 79 64 52 12 324
Kwinam Park South Korea 8 137 1.3× 131 1.5× 83 1.1× 91 1.4× 30 0.6× 12 409
Tudor Sajin Romania 6 121 1.1× 86 1.0× 117 1.5× 33 0.5× 112 2.2× 10 366
Chi-Hyeon Lee South Korea 10 75 0.7× 51 0.6× 159 2.0× 86 1.3× 67 1.3× 18 456
Shally Gupta India 9 110 1.0× 40 0.5× 60 0.8× 71 1.1× 133 2.6× 17 428
Haenam Jang South Korea 9 102 0.9× 66 0.8× 115 1.5× 60 0.9× 103 2.0× 15 336
Antoine Leybros France 14 77 0.7× 177 2.1× 70 0.9× 107 1.7× 27 0.5× 24 368
Shitang Tong China 10 62 0.6× 87 1.0× 90 1.1× 30 0.5× 147 2.8× 16 435
Glauber J. T. Fernandes Brazil 11 60 0.6× 70 0.8× 165 2.1× 29 0.5× 16 0.3× 24 366
Margareta Lidström Larsson Sweden 9 220 2.0× 136 1.6× 134 1.7× 28 0.4× 112 2.2× 10 548
Yirong Feng China 10 79 0.7× 129 1.5× 47 0.6× 23 0.4× 74 1.4× 21 304

Countries citing papers authored by S.M. Low

Since Specialization
Citations

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

Fields of papers citing papers by S.M. Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.M. Low

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

All Works

12 of 12 papers shown
1.
Yuan, Xiangzhou, Manu Suvarna, S.M. Low, et al.. (2021). Applied Machine Learning for Prediction of CO2 Adsorption on Biomass Waste-Derived Porous Carbons. Environmental Science & Technology. 55(17). 11925–11936. 273 indexed citations breakdown →
2.
Peng, Jiebin, et al.. (1997). Miscibility of Halogen-containing Polymethacrylates with Various Poly(alkyl acrylate)s. Polymers for Advanced Technologies. 8(4). 234–240. 7 indexed citations
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Low, S.M., et al.. (1994). Binary blends of poly(3-chloropropyl methacrylate) and poly(2-iodoethyl methacrylate) with aliphatic polyesters. Polymer. 35(15). 3290–3295. 7 indexed citations
7.
Low, S.M., et al.. (1994). Miscible blends of poly(N,N-dimethylacrylamide) with five halogen-containing polymethacrylates. European Polymer Journal. 30(2). 139–144. 3 indexed citations
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9.
Low, S.M., et al.. (1993). Miscibility of poly(2-iodoethyl methacrylate) with various polymethacrylates. Macromolecules. 26(10). 2631–2632. 5 indexed citations
10.
Low, S.M., et al.. (1993). Miscibility of poly(3-chloropropyl methacrylate) with various polymethacrylates. European Polymer Journal. 29(7). 909–912. 7 indexed citations
11.
Low, S.M., et al.. (1993). Miscibility of poly(3-chloropropyl methacrylate) with poly(styrene-coacrylonitrile) and poly (p-methylstyrene-co-acrylonitrile). European Polymer Journal. 29(8). 1075–1077. 1 indexed citations
12.

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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