Fenhong Song

2.0k citations
88 papers · 1.6k indexed · 2 hit papers · h-index 24

Fenhong Song

84 papers receiving 1.6k citations

Hit Papers

Investigation on novel deep eutectic solven...49202420262025255075

Peers

Fenhong Song
Comparison fields: 5 of 122
  • Fluid Flow and Transfer Processes 107
  • Catalysis 112
  • Surfaces, Coatings and Films 87
  • Biomedical Engineering 470
  • Filtration and Separation 22
Replace Jing Fan with:
Jing Fan China
Ahmed E. Ismail Germany
András Deák Hungary
Xuefeng Li China
Barbara L. Knutson United States
M. D. Lechner Germany
Sunil S. Bhagwat India
Mário R. Meneghetti Brazil
Ibrahim Khattab Kuwait
Edvaldo Sabadini Brazil
Fenhong Song relative to Jing Fan China Jing Fan's profile →
Citations per field
00.5×1.5×2.2×
Jing Fan · 1×
Citations per year

Countries citing papers authored by Fenhong Song

Since Specialization
Citations

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

Fields of papers citing papers by Fenhong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fenhong Song, 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 Fenhong Song Line = papers co-authored together Fenhong Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20252
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Investigation on novel deep eutectic solvents with high carbon dioxide adsorption performancebreakdown →
202549
9 20251
10
Efficient reverse osmosis-based desalination using functionalized graphene oxide nanoporesbreakdown →
202479
11 20240
12 20242
13 20233
14 20236
15 20239
16 20198
17 201126
18 2004106
19 200235
20 200216

About Fenhong Song

Fenhong Song is a scholar working on Catalysis, Fluid Flow and Transfer Processes and Filtration and Separation, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ionic liquids properties and applications (16 papers), Phase Equilibria and Thermodynamics (14 papers), Biodiesel Production and Applications (13 papers), Electrohydrodynamics and Fluid Dynamics (10 papers), Carbon Dioxide Capture Technologies (8 papers), Electrowetting and Microfluidic Technologies (8 papers), DNA and Nucleic Acid Chemistry (6 papers) and Heat transfer and supercritical fluids (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (107 citations), Catalysis (112 citations) and Surfaces, Coatings and Films (87 citations). Fenhong Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jing Fan, James T. Stivers, Qicheng Chen, Nan He, Chunyang Cao, Yu Lin Jiang, Yu Jiang, Xiaopo Wang, Xin Zhang and Guangping Lei. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Journal of Fluid Mechanics.

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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