Qing Fu

2.0k total citations
91 papers, 1.6k citations indexed

About

Qing Fu is a scholar working on Spectroscopy, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Qing Fu has authored 91 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Spectroscopy, 35 papers in Analytical Chemistry and 31 papers in Molecular Biology. Recurrent topics in Qing Fu's work include Analytical Chemistry and Chromatography (47 papers), Chromatography in Natural Products (34 papers) and Microfluidic and Capillary Electrophoresis Applications (15 papers). Qing Fu is often cited by papers focused on Analytical Chemistry and Chromatography (47 papers), Chromatography in Natural Products (34 papers) and Microfluidic and Capillary Electrophoresis Applications (15 papers). Qing Fu collaborates with scholars based in China, United States and Singapore. Qing Fu's co-authors include Xinmiao Liang, Yu Jin, Yanxiong Ke, Tu Liang, Yu Jin, Xinmiao Liang, Yuansheng Xiao, Xiuli Zhang, Gaowa Jin and Yanping Wang and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Development.

In The Last Decade

Qing Fu

90 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Fu China 23 735 591 447 345 240 91 1.6k
Qinhua Chen China 28 1.4k 1.9× 593 1.0× 184 0.4× 388 1.1× 197 0.8× 137 2.3k
Tong Wang China 22 487 0.7× 228 0.4× 561 1.3× 371 1.1× 181 0.8× 128 1.8k
Xianzhe Shi China 29 1.0k 1.4× 965 1.6× 399 0.9× 569 1.6× 172 0.7× 89 2.1k
Xingya Xue China 30 1.2k 1.7× 1.1k 1.8× 733 1.6× 533 1.5× 226 0.9× 91 2.6k
Jinchao Wei China 26 1.0k 1.4× 220 0.4× 217 0.5× 409 1.2× 564 2.4× 95 2.4k
Yingsing Fung Hong Kong 27 544 0.7× 620 1.0× 274 0.6× 441 1.3× 126 0.5× 69 1.8k
Qian Yang China 17 260 0.4× 405 0.7× 167 0.4× 303 0.9× 370 1.5× 86 1.5k
Huilin Li China 27 895 1.2× 815 1.4× 144 0.3× 137 0.4× 266 1.1× 74 2.0k
Jun Cao China 24 318 0.4× 237 0.4× 176 0.4× 327 0.9× 127 0.5× 70 1.3k
Gergő Tóth Hungary 21 434 0.6× 553 0.9× 250 0.6× 321 0.9× 136 0.6× 106 1.4k

Countries citing papers authored by Qing Fu

Since Specialization
Citations

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

Fields of papers citing papers by Qing Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Fu. A scholar is included among the top collaborators of Qing 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 Qing Fu. Qing Fu 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.
Fu, Qing, An Du, Ruina Ma, et al.. (2025). Effect of nano-SnO2 on the microstructure and properties of Micro-arc oxidation coatings on AZ91D magnesium alloy. Ceramics International. 51(23). 39247–39259. 1 indexed citations
2.
Zhao, Yang, et al.. (2024). Separation of carbohydrates using dynamically adsorbed borate stationary phase for hydrophilic interaction liquid chromatography. Journal of Chromatography A. 1720. 464780–464780. 3 indexed citations
3.
Wu, Meiling, et al.. (2024). Fe-N-coordinated graphene-like honeycomb porous carbon as an extremely effective catalyst for catalytic oxidation. Separation and Purification Technology. 354. 129225–129225. 11 indexed citations
4.
Ge, Dandan, Jie Yang, Jiahao Lu, et al.. (2024). Synthesis and evaluation of aromatic stationary phases based on linear solvation energy relationship model for expanded application in supercritical fluid chromatography. Journal of Chromatography A. 1716. 464640–464640. 2 indexed citations
5.
Ge, Dandan, Yanxiong Ke, Jiahao Lu, et al.. (2024). Separation of phenylpropionic acids both by strong anion exchange stationary phase and strong cation exchange stationary phase in supercritical fluid chromatography, using the same additive. Journal of Chromatography A. 1739. 465555–465555. 2 indexed citations
6.
Li, Chunyang, Yujian Li, Li Gui, et al.. (2024). Flexible Scaffold Modulation of Spatial Structure and Function of Hierarchically Porous Nanoparticle@ZIF‐8 Composites to Enhance Field Deployable Disease Diagnostics. Small Methods. 9(1). e2400738–e2400738. 4 indexed citations
7.
Fu, Qing, Wen‐Wen Dong, Dandan Ge, Yanxiong Ke, & Yu Jin. (2023). Supercritical fluid chromatography based on reversed-phase/ ion chromatography mixed-mode stationary phase for separation of spirooxindole alkaloids. Journal of Chromatography A. 1705. 464163–464163. 8 indexed citations
8.
Hou, Sanying, Hailong Hu, Qing Fu, et al.. (2023). Undaria pinnatifida (wakame)-derived Fe, N co-doped graphene-like hierarchical porous carbon as highly efficient catalyst for activation of peroxymonosulfate (PMS) toward degradation of tetracycline (TC). Separation and Purification Technology. 333. 125980–125980. 55 indexed citations
9.
Zhang, Hongzhi, Xinhe Wang, Yanchun Chen, et al.. (2023). Efficient strategies for preparative separation of iridoid glycosides and flavonoid glycosides from Hedyotis diffusa. Journal of Separation Science. 46(10). e2300029–e2300029. 6 indexed citations
10.
Fu, Qing, Wen‐Wen Dong, Dandan Ge, Yanxiong Ke, & Yu Jin. (2023). Supercritical fluid-based method for selective extraction and analysis of indole alkaloids from Uncaria rhynchophylla. Journal of Chromatography A. 1710. 464410–464410. 3 indexed citations
11.
Fu, Qing, Caicheng Long, Zixin Jiang, et al.. (2021). Fluorescent and colorimetric dual-mode detection of tetracycline in wastewater based on heteroatoms-doped reduced state carbon dots. Environmental Pollution. 283. 117109–117109. 69 indexed citations
12.
Fu, Qing, Huanhuan Zhang, Meng Sun, et al.. (2021). A ternary eluent strategy to tune the peak shape of steviol glycosides in reversed-phase liquid chromatography. Journal of Chromatography B. 1173. 122673–122673. 3 indexed citations
14.
Cai, Jianfeng, Yan-Hui Fu, Jiatao Feng, et al.. (2017). Preparative separation of the polar part from the rhizomes of Anemarrhena asphodeloides using a hydrophilic C18 stationary phase. Journal of Chromatography B. 1063. 149–155. 7 indexed citations
16.
Fu, Qing, et al.. (2015). Preparation and characterization of heparin hexasaccharide library with N-unsubstituted glucosamine residues. Glycoconjugate Journal. 32(8). 643–653. 5 indexed citations
18.
Li, Zhenyu, et al.. (2014). Fast analysis of indole alkaloids from Evodiae fructus by supercritical fluid chromatography. Chinese Journal of Chromatography. 32(5). 506–506. 2 indexed citations
20.
Liu, Wenkang, et al.. (2009). The Relationship between Cyclooxygenase-2, CD44v6, and nm23H1 in Esophageal Squamous Cell Carcinoma. Onkologie. 32(10). 574–578. 11 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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