Gen-Que Fu

584 total citations
11 papers, 497 citations indexed

About

Gen-Que Fu is a scholar working on Biomaterials, Plant Science and Polymers and Plastics. According to data from OpenAlex, Gen-Que Fu has authored 11 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 4 papers in Plant Science and 3 papers in Polymers and Plastics. Recurrent topics in Gen-Que Fu's work include Advanced Cellulose Research Studies (6 papers), Lignin and Wood Chemistry (3 papers) and Bamboo properties and applications (3 papers). Gen-Que Fu is often cited by papers focused on Advanced Cellulose Research Studies (6 papers), Lignin and Wood Chemistry (3 papers) and Bamboo properties and applications (3 papers). Gen-Que Fu collaborates with scholars based in China. Gen-Que Fu's co-authors include Feng Peng, Run‐Cang Sun, Panpan Yue, Mingfei Li, Yajie Hu, Changxia Sun, Jing Bian, Gegu Chen, Chunli Yao and Xiang Hao and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gen-Que Fu

11 papers receiving 491 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gen-Que Fu	170	144	135	114	51	11	497
Gabriela Garrastazu Pereira	151 0.9×	179 1.2×	129 1.0×	49 0.4×	72 1.4×	18	684
Gregory J. Duns	102 0.6×	124 0.9×	191 1.4×	117 1.0×	33 0.6×	33	500
Chaoxi Wu	246 1.4×	375 2.6×	113 0.8×	81 0.7×	45 0.9×	31	711
Chi Huang	102 0.6×	195 1.4×	103 0.8×	60 0.5×	51 1.0×	19	636
Raha Ahmad Raus	226 1.3×	197 1.4×	129 1.0×	61 0.5×	51 1.0×	30	688
Young Ho Cho	77 0.5×	133 0.9×	157 1.2×	48 0.4×	28 0.5×	52	675
Jorge López‐García	114 0.7×	153 1.1×	241 1.8×	60 0.5×	47 0.9×	12	705
Arkadiusz Orchel	96 0.6×	166 1.2×	292 2.2×	65 0.6×	45 0.9×	47	685
Panpan Yue	226 1.3×	158 1.1×	175 1.3×	179 1.6×	68 1.3×	31	737
Đặng Xuân Cường	148 0.9×	175 1.2×	76 0.6×	47 0.4×	55 1.1×	19	581

Countries citing papers authored by Gen-Que Fu

Since Specialization

Citations

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

Fields of papers citing papers by Gen-Que Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen-Que Fu. 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 Gen-Que Fu. The network helps show where Gen-Que Fu may publish in the future.

Co-authorship network of co-authors of Gen-Que Fu

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

All Works

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11 of 11 papers shown

Fu, Gen-Que, et al.. (2020). Xylan-based hydrogels for potential skin care application. International Journal of Biological Macromolecules. 158. 244–250. 42 indexed citations

Fu, Gen-Que, Panpan Yue, Yanhui Huang, et al.. (2019). Syntheses of xylan stearate nanoparticles with loading function from by-products of viscose fiber mills. Cellulose. 26(12). 7195–7206. 27 indexed citations

Fu, Gen-Que, Nan Li, Yajie Hu, Panpan Yue, & Feng Peng. (2018). Reaction Characteristics of Polysaccharide-Iodine Complexes: A Mini-review. 3(2). 64–75. 3 indexed citations

Yue, Panpan, Gen-Que Fu, Yongfeng Hu, et al.. (2018). Changes of Chemical Composition and Hemicelluloses Structure in Differently Aged Bamboo (Neosinocalamus affinis) Culms. Journal of Agricultural and Food Chemistry. 66(35). 9199–9208. 26 indexed citations

Hu, Yajie, et al.. (2018). Turning Wood Autohydrolysate Directly into Food Packing Composite Films with Good Toughness. International Journal of Polymer Science. 2018. 1–8. 6 indexed citations

Fu, Gen-Que, Panpan Yue, Yongfeng Hu, et al.. (2018). Fractionation of DMSO-Extracted and NaOH-Extracted Hemicelluloses by Gradient Ethanol Precipitation from Neosinocalamus affinis. International Journal of Polymer Science. 2018. 1–8. 7 indexed citations

Chen, Gegu, Gen-Que Fu, Xiaojun Wang, et al.. (2017). Facile synthesis of high strength hot-water wood extract films with oxygen-barrier performance. Scientific Reports. 7(1). 41075–41075. 10 indexed citations

Yue, Panpan, Yajie Hu, Gen-Que Fu, et al.. (2017). Structural Differences between the Lignin-Carbohydrate Complexes (LCCs) from 2- and 24-Month-Old Bamboo (Neosinocalamus affinis). International Journal of Molecular Sciences. 19(1). 1–1. 282 indexed citations

Qi, Xian-Ming, Gegu Chen, Xiaodong Gong, et al.. (2016). Enhanced mechanical performance of biocompatible hemicelluloses-based hydrogel via chain extension. Scientific Reports. 6(1). 33603–33603. 27 indexed citations

10.

Zhang, Bing, et al.. (2016). Variations of lignin–lignin and lignin–carbohydrate linkages from young Neosinocalamus affinis bamboo culms. RSC Advances. 6(19). 15478–15484. 27 indexed citations

11.

Guan, Ying, et al.. (2014). Organic/Inorganic Superabsorbent Hydrogels Based on Xylan and Montmorillonite. Journal of Nanomaterials. 2014(1). 40 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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