Jia‐Hong Kuo

3.5k total citations
72 papers, 3.0k citations indexed

About

Jia‐Hong Kuo is a scholar working on Biomedical Engineering, Materials Chemistry and Building and Construction. According to data from OpenAlex, Jia‐Hong Kuo has authored 72 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 29 papers in Materials Chemistry and 19 papers in Building and Construction. Recurrent topics in Jia‐Hong Kuo's work include Thermochemical Biomass Conversion Processes (37 papers), Thermal and Kinetic Analysis (20 papers) and Coal and Its By-products (18 papers). Jia‐Hong Kuo is often cited by papers focused on Thermochemical Biomass Conversion Processes (37 papers), Thermal and Kinetic Analysis (20 papers) and Coal and Its By-products (18 papers). Jia‐Hong Kuo collaborates with scholars based in Taiwan, China and Türkiye. Jia‐Hong Kuo's co-authors include Fatih Evrendilek, Musa Büyükada, Wuming Xie, Ming‐Yen Wey, Jingyong Liu, Ken‐Lin Chang, Jingyong Liu, Shuiyu Sun, Haiming Cai and Jian Sun and has published in prestigious journals such as The Science of The Total Environment, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Jia‐Hong Kuo

72 papers receiving 2.9k citations

Peers

Jia‐Hong Kuo
Yanfen Liao China
Musa Büyükada Türkiye
Wuming Xie China
Aneta Magdziarz Poland
Zhaosheng Yu China
Despina Vamvuka Greece
Shiwen Fang China
Yanguo Zhang China
Ken‐Lin Chang Taiwan
Yousheng Lin China
Yanfen Liao China
Jia‐Hong Kuo
Citations per year, relative to Jia‐Hong Kuo Jia‐Hong Kuo (= 1×) peers Yanfen Liao

Countries citing papers authored by Jia‐Hong Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Jia‐Hong Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia‐Hong Kuo. 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 Jia‐Hong Kuo. The network helps show where Jia‐Hong Kuo may publish in the future.

Co-authorship network of co-authors of Jia‐Hong Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Jia‐Hong Kuo. A scholar is included among the top collaborators of Jia‐Hong Kuo 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 Jia‐Hong Kuo. Jia‐Hong Kuo 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.
2.
Lin, Kunsen, et al.. (2022). Data‐driven models employed to waste plastic in China: Generation, classification, and environmental assessment. Journal of Industrial Ecology. 27(1). 170–181. 4 indexed citations
3.
Lin, Kunsen, Youcai Zhao, Jia‐Hong Kuo, & Chiou-Liang Lin. (2022). Agglomeration-influenced transformation of heavy metals in gas-solid phases during simulated sewage sludge co-incineration: Effects of phosphorus and operating temperature. The Science of The Total Environment. 858(Pt 1). 159759–159759. 10 indexed citations
4.
Cai, Haiming, Jingyong Liu, Jia‐Hong Kuo, et al.. (2021). Ash-to-emission pollution controls on co-combustion of textile dyeing sludge and waste tea. The Science of The Total Environment. 794. 148667–148667. 43 indexed citations
5.
Huang, Jianli, Junhui Zhang, Jingyong Liu, et al.. (2019). Thermal conversion behaviors and products of spent mushroom substrate in CO2 and N2 atmospheres: Kinetic, thermodynamic, TG and Py-GC/MS analyses. Journal of Analytical and Applied Pyrolysis. 139. 177–186. 62 indexed citations
6.
Chen, Jiacong, Yao He, Jingyong Liu, et al.. (2019). The mixture of sewage sludge and biomass waste as solid biofuels: Process characteristic and environmental implication. Renewable Energy. 139. 707–717. 35 indexed citations
7.
Huang, Jianli, Jingyong Liu, Jia‐Hong Kuo, et al.. (2019). Kinetics, thermodynamics, gas evolution and empirical optimization of (co-)combustion performances of spent mushroom substrate and textile dyeing sludge. Bioresource Technology. 280. 313–324. 58 indexed citations
8.
Liu, Jingyong, Limao Huang, Wuming Xie, et al.. (2019). Characterizing and optimizing (co-)pyrolysis as a function of different feedstocks, atmospheres, blend ratios, and heating rates. Bioresource Technology. 277. 104–116. 25 indexed citations
9.
Sun, Guang, Gang Zhang, Jingyong Liu, et al.. (2019). Thermogravimetric and mass-spectrometric analyses of combustion of spent potlining under N2/O2 and CO2/O2 atmospheres. Waste Management. 87. 237–249. 46 indexed citations
10.
Huang, Jianli, Jingyong Liu, Jiacong Chen, et al.. (2018). Combustion behaviors of spent mushroom substrate using TG-MS and TG-FTIR: Thermal conversion, kinetic, thermodynamic and emission analyses. Bioresource Technology. 266. 389–397. 184 indexed citations
11.
Liu, Jingyong, Limao Huang, Guang Sun, et al.. (2018). (Co-)combustion of additives, water hyacinth and sewage sludge: Thermogravimetric, kinetic, gas and thermodynamic modeling analyses. Waste Management. 81. 211–219. 41 indexed citations
12.
Huang, Limao, Candie Xie, Jingyong Liu, et al.. (2017). Influence of catalysts on co-combustion of sewage sludge and water hyacinth blends as determined by TG-MS analysis. Bioresource Technology. 247. 217–225. 95 indexed citations
13.
Chen, Jiacong, Candie Xie, Jingyong Liu, et al.. (2017). Co-combustion of sewage sludge and coffee grounds under increased O2/CO2 atmospheres: Thermodynamic characteristics, kinetics and artificial neural network modeling. Bioresource Technology. 250. 230–238. 86 indexed citations
14.
Huang, Limao, Jingyong Liu, Yao He, et al.. (2016). Thermodynamics and kinetics parameters of co-combustion between sewage sludge and water hyacinth in CO2/O2 atmosphere as biomass to solid biofuel. Bioresource Technology. 218. 631–642. 172 indexed citations
15.
Chen, Jiacong, Jingyong Liu, Yao He, et al.. (2016). Investigation of co-combustion characteristics of sewage sludge and coffee grounds mixtures using thermogravimetric analysis coupled to artificial neural networks modeling. Bioresource Technology. 225. 234–245. 133 indexed citations
16.
Kuo, Jia‐Hong, et al.. (2016). Experimental investigation of synthetic gas composition in a two-stage fluidized bed gasification process: effect of activated carbon as bed material. Environmental Technology. 38(9). 1169–1175. 2 indexed citations
17.
Huang, Bing-Shun, et al.. (2012). Catalytic upgrading of syngas from fluidized bed air gasification of sawdust. Bioresource Technology. 110. 670–675. 31 indexed citations
18.
Lu, Chi-Yuan, Hui‐Hsin Tseng, Ming‐Yen Wey, Kui‐Hao Chuang, & Jia‐Hong Kuo. (2009). Evaluating the potential of CNT-supported Co catalyst used for gas pollution removal in the incineration flue gas. Journal of Environmental Management. 90(5). 1884–1892. 16 indexed citations
19.
Kuo, Jia‐Hong, Hui‐Hsin Tseng, P. Srinivasa Rao, & Ming‐Yen Wey. (2008). The prospect and development of incinerators for municipal solid waste treatment and characteristics of their pollutants in Taiwan. Applied Thermal Engineering. 28(17-18). 2305–2314. 45 indexed citations
20.

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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