Fan Hu

3.0k total citations · 1 hit paper
37 papers, 2.4k citations indexed

About

Fan Hu is a scholar working on Biomedical Engineering, Biomaterials and Dermatology. According to data from OpenAlex, Fan Hu has authored 37 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 8 papers in Biomaterials and 7 papers in Dermatology. Recurrent topics in Fan Hu's work include Biofuel production and bioconversion (16 papers), Lignin and Wood Chemistry (11 papers) and Catalysis for Biomass Conversion (10 papers). Fan Hu is often cited by papers focused on Biofuel production and bioconversion (16 papers), Lignin and Wood Chemistry (11 papers) and Catalysis for Biomass Conversion (10 papers). Fan Hu collaborates with scholars based in China, United States and Canada. Fan Hu's co-authors include Arthur J. Ragauskas, Seokwon Jung, Yunqiao Pu, Fang Huang, Brian H. Davison, Charles E. Wyman, Rajeev Kumar, Christopher A. Hubbell, Poulomi Sannigrahi and Reichel Samuel and has published in prestigious journals such as Energy & Environmental Science, Advanced Functional Materials and Bioresource Technology.

In The Last Decade

Fan Hu

33 papers receiving 2.3k citations

Hit Papers

Assessing the molecular structure basis for biomass recal... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fan Hu China 17 2.0k 656 584 452 177 37 2.4k
Parveen Kumar United States 6 2.4k 1.2× 1.1k 1.6× 514 0.9× 235 0.5× 300 1.7× 10 3.0k
Vincent S. Chang Taiwan 14 2.0k 1.0× 989 1.5× 498 0.9× 213 0.5× 270 1.5× 36 2.3k
Gabriel Paës France 22 1.7k 0.8× 857 1.3× 425 0.7× 439 1.0× 645 3.6× 60 2.3k
Qining Sun United States 19 1.4k 0.7× 297 0.5× 501 0.9× 316 0.7× 145 0.8× 25 1.7k
Y. Y. Lee United States 26 2.0k 1.0× 1.0k 1.6× 489 0.8× 205 0.5× 271 1.5× 47 2.3k
Jan B. L. Kristensen Denmark 13 2.1k 1.0× 1.2k 1.9× 484 0.8× 291 0.6× 418 2.4× 14 2.4k
Liangcai Peng China 22 1.5k 0.8× 698 1.1× 384 0.7× 495 1.1× 179 1.0× 26 1.9k
Xiaolin Luo China 27 2.0k 1.0× 448 0.7× 995 1.7× 360 0.8× 155 0.9× 80 2.7k
Pablo Alvira Spain 11 3.1k 1.5× 1.7k 2.5× 560 1.0× 451 1.0× 545 3.1× 15 3.4k
Roland Gleisner United States 19 1.4k 0.7× 468 0.7× 531 0.9× 182 0.4× 146 0.8× 42 1.6k

Countries citing papers authored by Fan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Hu. A scholar is included among the top collaborators of Fan Hu 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 Fan Hu. Fan Hu 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.
Chen, Wan-Ling, Jichuan Zhang, Zhenyuan Wang, et al.. (2025). Retinoid-loaded ionic liquid nanoparticles: Decreased irritation, enhanced transdermal delivery and synergistic anti-wrinkle. Applied Materials Today. 44. 102735–102735.
2.
Shen, Kai, Fan Hu, Xu Li, et al.. (2024). Tobacco as bioenergy and medical plant for biofuels and bioproduction. Heliyon. 10(13). e33920–e33920. 9 indexed citations
3.
Ding, Wei, Kai Shen, Xuefeng Gao, et al.. (2024). Tobacco stem-derived porous carbon-supported Ru catalysts for efficient electrochemical hydrogen evolution. MRS Communications. 14(6). 1452–1459. 1 indexed citations
4.
Wang, Qianqian, et al.. (2024). Establishment and application of perceived age prediction model for the periocular aging research of Chinese Han women. Skin Research and Technology. 30(5). e13719–e13719. 3 indexed citations
5.
Yang, Jianfeng, et al.. (2024). Research on characterization of pellet characteristics of straw and potato residue mixture based on deep learning. Biomass and Bioenergy. 193. 107551–107551. 1 indexed citations
6.
Wang, Mi, Zhenyuan Wang, Tianqi Liu, et al.. (2023). Enhanced Skin Permeation of Anti‐Aging Peptides Using Bioactive Ionic Liquids at Low Concentrations. Advanced Functional Materials. 33(42). 11 indexed citations
9.
Zhang, Tao, Fan Hu, Tianlin Liu, et al.. (2020). Reducing Vibration of A Rotating Machine with Deep Reinforcement Learning. 932–937. 2 indexed citations
10.
Jung, Seokwon, Heather L. Trajano, Chang Geun Yoo, et al.. (2018). Topochemical Understanding of Lignin Distribution During Hydrothermal Flowthrough Pretreatment. ChemistrySelect. 3(32). 9348–9352. 16 indexed citations
11.
Li, Fengcheng, Guosheng Xie, Jiangfeng Huang, et al.. (2017). OsCESA9 conserved‐site mutation leads to largely enhanced plant lodging resistance and biomass enzymatic saccharification by reducing cellulose DP and crystallinity in rice. Plant Biotechnology Journal. 15(9). 1093–1104. 133 indexed citations
12.
Hu, Fan, et al.. (2015). High-throughput bacterial analysis on aqueous extract of waste tobacco scrap. Tobacco Science & Technology. 1 indexed citations
13.
Pu, Yunqiao, Fan Hu, Fang Huang, & Arthur J. Ragauskas. (2015). Lignin Structural Alterations in Thermochemical Pretreatments with Limited Delignification. BioEnergy Research. 8(3). 992–1003. 71 indexed citations
14.
Tolbert, Allison K., Hannah Akinosho, Fan Hu, et al.. (2013). A ‘Twitter’ Generation Perspective on Biorefining. Biofuels Bioproducts and Biorefining. 7(6). 629–633. 1 indexed citations
15.
Pu, Yunqiao, Fan Hu, Fang Huang, Brian H. Davison, & Arthur J. Ragauskas. (2013). Assessing the molecular structure basis for biomass recalcitrance during dilute acid and hydrothermal pretreatments. Biotechnology for Biofuels. 6(1). 15–15. 483 indexed citations breakdown →
16.
Samuel, Reichel, Shilin Cao, Birinchi K. Das, et al.. (2013). Investigation of the fate of poplar lignin during autohydrolysis pretreatment to understand the biomass recalcitrance. RSC Advances. 3(16). 5305–5305. 67 indexed citations
17.
Hu, Fan, Seokwon Jung, & Arthur J. Ragauskas. (2012). Impact of Pseudolignin versus Dilute Acid-Pretreated Lignin on Enzymatic Hydrolysis of Cellulose. ACS Sustainable Chemistry & Engineering. 1(1). 62–65. 76 indexed citations
18.
Kumar, Rajeev, Fan Hu, Christopher A. Hubbell, Arthur J. Ragauskas, & Charles E. Wyman. (2012). Comparison of laboratory delignification methods, their selectivity, and impacts on physiochemical characteristics of cellulosic biomass. Bioresource Technology. 130. 372–381. 187 indexed citations
19.
Hu, Fan, Seokwon Jung, & Arthur J. Ragauskas. (2012). Pseudo-lignin formation and its impact on enzymatic hydrolysis. Bioresource Technology. 117. 7–12. 340 indexed citations
20.
Sannigrahi, Poulomi, Fan Hu, Yunqiao Pu, & Arthur J. Ragauskas. (2012). A Novel Oxidative Pretreatment of Loblolly Pine, Sweetgum, and Miscanthus by Ozone. Journal of Wood Chemistry and Technology. 32(4). 361–375. 20 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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