Xiangfu Song

1.2k citations
36 papers · 1.0k indexed · h-index 17

Xiangfu Song

35 papers receiving 1000 citations

Peers

Xiangfu Song
Comparison fields: 5 of 114
  • Molecular Medicine 159
  • Environmental Chemistry 159
  • Pharmaceutical Science 88
  • Biomaterials 162
  • Soil Science 113
Replace Daniela Šmejkalová with:
Daniela Šmejkalová Czechia
Yueling Zhang China
Sophie Pelletier Canada
Xiangyu Xu China
Archana Mishra India
Xiaojie Hu China
Danielle L. Slomberg France
Luciana Camargo de Oliveira Brazil
Fei Ge China
Haixing Song China
Xiangfu Song relative to Daniela Šmejkalová Czechia Daniela Šmejkalová's profile →
Citations per field
00.5×2.9×
Daniela Šmejkalová · 1×
Citations per year

Countries citing papers authored by Xiangfu Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiangfu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202038
3 201838
4 201814
5 201829
6 201812
7 2017146
8 201724
9 201643
10 201654
11 20166
12 20153
13 20151
14 201419
15 20132
16 2013120
17 201256
18 201137
19 20114
20
Bio-production and water cleaning by plants grown with floating culture system. 3. Effects of application amount of fertilizer on the growth and yield of wheat, and water cleaning
19941

About Xiangfu Song

Xiangfu Song is a scholar working on Industrial and Manufacturing Engineering, Environmental Chemistry and Molecular Medicine, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Constructed Wetlands for Wastewater Treatment (8 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers), Air Quality and Health Impacts (2 papers), Agriculture, Soil, Plant Science (2 papers), Natural product bioactivities and synthesis (2 papers), Hydrogels: synthesis, properties, applications (2 papers), Wastewater Treatment and Nitrogen Removal (2 papers) and Nanoparticle-Based Drug Delivery (2 papers). The work is most often cited by research in Molecular Medicine (159 citations), Environmental Chemistry (159 citations) and Pharmaceutical Science (88 citations). Xiangfu Song has collaborated with scholars based in China, Japan and France. Frequent co-authors include Guoyan Zou, Zhe Zhang, Guifa Chen, Xuesi Chen, Chaoliang He, Xiaoye Gao, Yuanyuan Li, Zishi Fu, Wenya He and Kelong Ai. Their work appears in journals such as Biomaterials, The Science of The Total Environment 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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