Hua Song

5.4k total citations
165 papers, 4.5k citations indexed

About

Hua Song is a scholar working on Materials Chemistry, Mechanical Engineering and Catalysis. According to data from OpenAlex, Hua Song has authored 165 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Materials Chemistry, 62 papers in Mechanical Engineering and 54 papers in Catalysis. Recurrent topics in Hua Song's work include Catalytic Processes in Materials Science (64 papers), Catalysis and Hydrodesulfurization Studies (48 papers) and Catalysts for Methane Reforming (30 papers). Hua Song is often cited by papers focused on Catalytic Processes in Materials Science (64 papers), Catalysis and Hydrodesulfurization Studies (48 papers) and Catalysts for Methane Reforming (30 papers). Hua Song collaborates with scholars based in Canada, China and United States. Hua Song's co-authors include Umit S. Ozkan, Peng He, Wenpo Shan, Aiguo Wang, Shijun Meng, Junhua Li, Jack Jarvis, Fangyun Hu, Yue Peng and Jianjun Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Hua Song

157 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Song Canada 37 2.9k 2.1k 1.5k 968 712 165 4.5k
Chunshan Li China 37 2.1k 0.7× 2.1k 1.0× 1.6k 1.1× 2.0k 2.0× 542 0.8× 149 4.8k
Bawadi Abdullah Malaysia 36 2.5k 0.9× 2.1k 1.0× 879 0.6× 1.2k 1.2× 202 0.3× 148 4.3k
Andreas Jess Germany 37 2.4k 0.8× 3.1k 1.5× 2.2k 1.5× 2.2k 2.2× 596 0.8× 191 5.8k
Laura Torrente‐Murciano United Kingdom 38 3.6k 1.2× 3.1k 1.5× 787 0.5× 764 0.8× 483 0.7× 94 5.9k
Aligholi Niaei Iran 36 1.9k 0.7× 1.1k 0.5× 730 0.5× 616 0.6× 521 0.7× 165 4.1k
Kwan-Young Lee South Korea 39 2.4k 0.8× 1.5k 0.7× 1.6k 1.1× 1.6k 1.7× 492 0.7× 137 4.6k
Pedro Castaño Spain 47 3.1k 1.1× 2.9k 1.4× 3.3k 2.2× 3.2k 3.4× 2.2k 3.0× 200 8.1k
А. С. Носков Russia 33 2.3k 0.8× 1.3k 0.6× 1.9k 1.3× 705 0.7× 566 0.8× 242 3.7k
J.M. Bermúdez Spain 27 1.2k 0.4× 820 0.4× 1.1k 0.7× 1.4k 1.4× 365 0.5× 46 3.3k

Countries citing papers authored by Hua Song

Since Specialization
Citations

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

Fields of papers citing papers by Hua Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Song. A scholar is included among the top collaborators of Hua Song 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 Hua Song. Hua Song 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.
Zheng, Chao, et al.. (2024). Adsorption of DMMP and water vapor on granular activated carbon: An experimental and molecular simulation study. Separation and Purification Technology. 342. 126960–126960. 1 indexed citations
2.
3.
Shimizu, Ken‐ichi, Wataru Ueda, & Hua Song. (2024). Introduction to integrated approaches for methane activation. Catalysis Science & Technology. 14(11). 2972–2972.
4.
Zheng, Chao, Chunlai Wang, Jian Hu, et al.. (2024). Modeling of multi-temperature Type I and II benzene/ammonia adsorption isotherms: Dual LF model and linearized DR model. Separation and Purification Technology. 338. 126246–126246. 17 indexed citations
5.
Alagumalai, Avinash & Hua Song. (2024). Exploring the landscape of machine learning-aided research in biofuels and biodiesel: A bibliometric analysis. SHILAP Revista de lepidopterología. 2(3). 100089–100089. 2 indexed citations
6.
Zheng, Chao, Kai Kang, Min Tang, et al.. (2024). Comparison and development of the descriptive model with polynomial structures to fit multi-component dynamic breakthrough curves with roll-up, stepwise, and saddle-shaped structure. Separation and Purification Technology. 355. 129644–129644. 2 indexed citations
7.
Li, Wenping, Avinash Alagumalai, Zhaofei Li, & Hua Song. (2024). Non-thermal plasma technology for air pollution control and bacterial deactivation. Cell Reports Physical Science. 5(7). 102092–102092. 2 indexed citations
8.
Zhu, Shichen, Yan Jin, Hua Song, et al.. (2024). Characterisation of psyllium husk with different sizes and their effects on gel properties of surimi. International Journal of Food Science & Technology. 59(6). 3781–3790. 2 indexed citations
9.
Zheng, Chao, et al.. (2023). Competitive adsorption and selectivity of water vapor/R134a on activated carbon for indoor air purification. Separation and Purification Technology. 317. 123741–123741. 14 indexed citations
10.
Kaur, Manpreet, Zhaofei Li, Shijun Meng, Wenping Li, & Hua Song. (2023). Electrocatalytic methane conversion to high value chemicals at ambient conditions. Energy Conversion and Management. 285. 117029–117029. 11 indexed citations
11.
Li, Zhaofei, et al.. (2023). Techno-economic and life cycle assessment of renewable diesel production via methane-assisted catalytic waste cooking oil upgrading. Journal of Cleaner Production. 414. 137512–137512. 20 indexed citations
12.
Jarvis, Jack, Yimeng Li, Zhaofei Li, et al.. (2023). Methane-assisted selective bio-oil deoxygenation for high-quality renewable fuel production: A rational catalyst design and mechanistic study. Chemical Engineering Journal. 475. 146052–146052. 2 indexed citations
13.
Alagumalai, Avinash, et al.. (2023). Machine learning assisted techno-economic and life cycle assessment of organic solid waste upgrading under natural gas. Applied Energy. 355. 122321–122321. 27 indexed citations
14.
Zheng, Chao, Kai Kang, Hua Song, et al.. (2023). The effect of relative humidity on multicomponent organic vapor adsorption on composite beds with micro-fibrous entrapped activated carbon. Journal of environmental chemical engineering. 11(6). 111005–111005. 3 indexed citations
15.
Meng, Shijun, Wenping Li, Zhaofei Li, & Hua Song. (2023). Recent progress of the transition metal-based catalysts in the catalytic biomass gasification: A mini-review. Fuel. 353. 129169–129169. 43 indexed citations
16.
Alagumalai, Avinash, D. Balaji, Hua Song, et al.. (2023). Machine learning in biohydrogen production: a review. Biofuel Research Journal. 10(2). 1844–1858. 52 indexed citations
17.
Li, Wenping, et al.. (2023). Non-thermal plasma assisted catalytic water splitting for clean hydrogen production at near ambient conditions. Journal of Cleaner Production. 387. 135913–135913. 11 indexed citations
18.
Balaji, D., et al.. (2023). Artificial intelligence enabled carbon capture: A review. The Science of The Total Environment. 886. 163913–163913. 27 indexed citations
19.
He, Peng, Aiguo Wang, Jonathan H. Harrhy, et al.. (2019). Conversion of naphthalene as model compound of polyaromatics to mono-aromatic hydrocarbons under the mixed hydrogen and methane atmosphere. Fuel. 243. 469–477. 17 indexed citations
20.
He, Peng, Michelle Ha, Vladimir K. Michaelis, et al.. (2018). Mechanistic Investigation on Catalytic Deoxygenation of Phenol as a Model Compound of Biocrude Under Methane. ACS Sustainable Chemistry & Engineering. 7(1). 1512–1523. 13 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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