Kanit Manatura

578 total citations
39 papers, 428 citations indexed

About

Kanit Manatura is a scholar working on Biomedical Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Kanit Manatura has authored 39 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 11 papers in Mechanical Engineering and 10 papers in Materials Chemistry. Recurrent topics in Kanit Manatura's work include Thermochemical Biomass Conversion Processes (15 papers), Lignin and Wood Chemistry (6 papers) and Natural Fiber Reinforced Composites (4 papers). Kanit Manatura is often cited by papers focused on Thermochemical Biomass Conversion Processes (15 papers), Lignin and Wood Chemistry (6 papers) and Natural Fiber Reinforced Composites (4 papers). Kanit Manatura collaborates with scholars based in Thailand, Taiwan and Australia. Kanit Manatura's co-authors include Benjapon Chalermsinsuwan, Napat Kaewtrakulchai, Yueh‐Heng Li, Keng-Tung Wu, Jau-Huai Lu, Hung‐Te Hsu, Wei‐Hsin Chen, Sutthipoj Wongrerkdee, Apiluck Eiad‐ua and Eilhann E. Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Kanit Manatura

34 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kanit Manatura Thailand 13 260 94 74 60 40 39 428
Furkan Kartal Türkiye 15 307 1.2× 143 1.5× 77 1.0× 26 0.4× 43 1.1× 21 458
Imran Nazir Unar Pakistan 10 172 0.7× 101 1.1× 49 0.7× 34 0.6× 49 1.2× 35 353
Xiang Gou China 10 140 0.5× 135 1.4× 118 1.6× 37 0.6× 35 0.9× 39 368
Xuepeng Wang China 10 264 1.0× 109 1.2× 84 1.1× 60 1.0× 17 0.4× 17 399
Duleeka Sandamali Gunarathne Sri Lanka 11 295 1.1× 113 1.2× 36 0.5× 41 0.7× 27 0.7× 23 385
Christopher Selvam Damian India 12 198 0.8× 90 1.0× 97 1.3× 36 0.6× 30 0.8× 27 337
Floriane Mermoud Switzerland 7 264 1.0× 88 0.9× 59 0.8× 59 1.0× 13 0.3× 12 353
Nanhang Dong China 11 248 1.0× 101 1.1× 68 0.9× 28 0.5× 20 0.5× 22 395
Neng Huang China 9 249 1.0× 108 1.1× 68 0.9× 27 0.5× 28 0.7× 18 340
Rui Diao China 13 322 1.2× 113 1.2× 66 0.9× 17 0.3× 40 1.0× 37 437

Countries citing papers authored by Kanit Manatura

Since Specialization
Citations

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

Fields of papers citing papers by Kanit Manatura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanit Manatura

This figure shows the co-authorship network connecting the top 25 collaborators of Kanit Manatura. A scholar is included among the top collaborators of Kanit Manatura 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 Kanit Manatura. Kanit Manatura 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.
Manatura, Kanit, et al.. (2025). Gas turbine heat rate prediction in combined cycle power plant using artificial neural network. Thermal Science and Engineering Progress. 59. 103301–103301. 3 indexed citations
4.
Wang, Xiaolin, et al.. (2025). Enhancing performance of oblique double layer plate microchannel heat exchanger by computational fluid dynamics: Design and performance optimization. International Journal of Heat and Mass Transfer. 242. 126865–126865. 1 indexed citations
5.
Eiamsa–ard, Smith, et al.. (2025). Thermal profile analysis of 18650 Li-ion battery module with embedded copper foam in the nanofluid cooling jacket. Case Studies in Chemical and Environmental Engineering. 11. 101208–101208. 2 indexed citations
6.
Srinophakun, Thongchai, et al.. (2025). Machine learning and thermodynamic modeling for optimizing hydrogen production via algae-biomass co-gasification. Cleaner Engineering and Technology. 28. 101038–101038. 1 indexed citations
7.
8.
Krobthong, Sucheewin, et al.. (2024). Sustainable Development of ZnO Nanostructure Doping with Water Hyacinth-Derived Activated Carbon for Visible-Light Photocatalysis. Toxics. 12(3). 165–165. 12 indexed citations
10.
Krobthong, Sucheewin, et al.. (2024). Synergy of functionalized activated carbon and ZnO nanoparticles for enhancing photocatalytic degradation of methylene blue and carbaryl. Radiation Physics and Chemistry. 223. 111924–111924. 16 indexed citations
11.
Kaewtrakulchai, Napat, et al.. (2024). Hydrophobicity and performance analysis of beverage and agricultural waste torrefaction for high-grade bio-circular solid fuel. Carbon Resources Conversion. 8(1). 100243–100243. 8 indexed citations
12.
Manatura, Kanit, et al.. (2024). Optimization of torrefaction parameters for coconut shell using Taguchi method: Impact on torrefaction performances, combustion characteristics, and thermal stability. Thermal Science and Engineering Progress. 57. 103137–103137. 2 indexed citations
13.
Manatura, Kanit, et al.. (2024). Analysis of air humidity distribution caused by fabric air duct arrangement for human comforts by computational fluid dynamic. IOP Conference Series Earth and Environmental Science. 1393(1). 12005–12005.
14.
Chen, Wei‐Hsin, Wei-Hao Chen, Reiyu Chein, et al.. (2023). Optimization of hydrogen purification via vacuum pressure swing adsorption. Energy Conversion and Management X. 20. 100459–100459. 16 indexed citations
15.
Wang, Xiaolin, et al.. (2023). Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach. South African Journal of Chemical Engineering. 46. 361–375. 12 indexed citations
16.
Manatura, Kanit, Benjapon Chalermsinsuwan, Napat Kaewtrakulchai, Eilhann E. Kwon, & Wei‐Hsin Chen. (2022). Machine learning and statistical analysis for biomass torrefaction: A review. Bioresource Technology. 369. 128504–128504. 46 indexed citations
17.
Kaewtrakulchai, Napat, et al.. (2022). Porous Biochar Supported Transition Metal Phosphide Catalysts for Hydrocracking of Palm Oil to Bio-Jet Fuel. Materials. 15(19). 6584–6584. 16 indexed citations
18.
Manatura, Kanit, et al.. (2021). Characteristics and combustion kinetics of fuel pellets composed of waste of polyethylene terephthalate and biomass. SHILAP Revista de lepidopterología. 8 indexed citations
19.
Manatura, Kanit, et al.. (2021). Co-combustion Characteristics and Kinetics Behavior of Torrefied Sugarcane Bagasse and Lignite. International Journal of Renewable Energy Development. 10(4). 737–746. 11 indexed citations
20.
Manatura, Kanit, et al.. (2010). A Study of Specific Energy Consumption in Reheating Furnace Using Regenerative Burners Combined with Recuperator. NRCT Data Center. 4(2). 7–13. 12 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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