Xiaoye Song

1.2k citations
22 papers · 905 · h-index 14

Impact in

Papers in

Xiaoye Song

21 papers receiving 896 citations

Peers

Xiaoye Song
Comparison fields: 5 of 74
  • Water Science and Technology 607
  • Pollution 322
  • Industrial and Manufacturing Engineering 179
  • Renewable Energy, Sustainability and the Environment 176
  • Biomedical Engineering 348
Replace Dimuth Navaratna with:
Dimuth Navaratna Australia
Gyu Tae Seo South Korea
A. Iborra‐Clar Spain
Farrukh Basheer India
Galilee U. Semblante Australia
Jarosław Wiszniowski Poland
Hao H. Ngo Australia
Ismaîl Trabelsi Tunisia
Lukáš Dvořák Czechia
G. Garralón Spain
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoye Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoye Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2 201897
3 201990
4 201683
5 201776
6 201970
7 202263
8 201844
9 201742
10 202142
11 201740
12 202033
13 202321
14 202115
15 202013
16 202213
17 20246
18 20235
19 20244
20 20244

About Xiaoye Song

Xiaoye Song is a scholar working on Water Science and Technology, Biomedical Engineering, Pollution, Renewable Energy, Sustainability and the Environment and Building and Construction, having authored 22 papers that have together received 905 indexed citations. Recurring topics across this work include Membrane Separation Technologies (18 papers), Membrane-based Ion Separation Techniques (9 papers), Solar-Powered Water Purification Methods (7 papers), Wastewater Treatment and Nitrogen Removal (5 papers), Anaerobic Digestion and Biogas Production (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Water Treatment and Disinfection (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Water Science and Technology (607 citations), Pollution (322 citations), Industrial and Manufacturing Engineering (179 citations), Renewable Energy, Sustainability and the Environment (176 citations) and Biomedical Engineering (348 citations). Xiaoye Song has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Wenhai Luo, Long D. Nghiem, Faisal I. Hai, Hao H. Ngo, Wenshan Guo, Guoxue Li, William E. Price, Ming Xie, Stuart J. Khan and James A. McDonald. Their work appears in journals such as Bioresource Technology, Environmental Technology & Innovation, Journal of Membrane Science, Current Pollution Reports and The Science of The Total Environment.

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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