Yun Fa

517 citations
26 papers · 336 · h-index 11

Impact in

Papers in

    • Analytical Chemistry and Chromatography 7
    • Microbial Metabolic Engineering and Bioproduction 4
    • Advanced biosensing and bioanalysis techniques 2

Yun Fa

25 papers receiving 325 citations

Peers

Yun Fa
Comparison fields: 5 of 75
  • Renewable Energy, Sustainability and the Environment 112
  • Analytical Chemistry 45
  • Inorganic Chemistry 61
  • Spectroscopy 43
  • Industrial and Manufacturing Engineering 20
Replace Vanessa Maroga Mboula with:
Vanessa Maroga Mboula France
Yuling Guo China
Safni Safni Indonesia
R. Colin France
Patrick M. Foley United States
Geaneth Pertunia Mashile South Africa
Deming Dong China
Mahesh Chandra Arya India
Tingting Gan China
Misha Liu China
Yun Fa relative to Vanessa Maroga Mboula France Vanessa Maroga Mboula's profile →
Citations per field
00.5×4.7×
Vanessa Maroga Mboula · 1×
Citations per year

Countries citing papers authored by Yun Fa

Since Specialization
Citations

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

Fields of papers citing papers by Yun Fa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yun Fa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yun Fa Line = papers co-authored together Yun Fa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202256
2 202052
3 202034
4 201827
5 202124
6 202321
7 201317
8 202416
9 202511
10 202411
11 201810
12 20139
13 20247
14 20147
15 20156
16 20175
17 20205
18 20215
19 20203
20 20193

About Yun Fa

Yun Fa is a scholar working on Spectroscopy, Molecular Biology, Materials Chemistry, Nutrition and Dietetics and Biomedical Engineering, having authored 26 papers that have together received 336 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (7 papers), Covalent Organic Framework Applications (6 papers), Radioactive element chemistry and processing (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Advanced Chemical Sensor Technologies (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (112 citations), Analytical Chemistry (45 citations), Inorganic Chemistry (61 citations), Spectroscopy (43 citations) and Industrial and Manufacturing Engineering (20 citations). Yun Fa has collaborated with scholars based in China, Sweden and India. Frequent co-authors include Zhiwei Zhu, Jihong Jiang, Huizhou Liu, Xu‐Feng Liu, Peter Lindblad, Xiangfeng Liang, Zongshan Zhao, Wei Gao, Fangfang Li and Yong‐Liang Yu. Their work appears in journals such as Chemical Engineering Journal, Journal of Chromatography B, Frontiers in Microbiology, Journal of Chromatography A and Journal of Agricultural and Food Chemistry.

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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