Song Wang

8.0k total citations · 1 hit paper
119 papers, 3.8k citations indexed

About

Song Wang is a scholar working on Biomedical Engineering, Pollution and Inorganic Chemistry. According to data from OpenAlex, Song Wang has authored 119 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Biomedical Engineering, 23 papers in Pollution and 20 papers in Inorganic Chemistry. Recurrent topics in Song Wang's work include Vanadium and Halogenation Chemistry (11 papers), Heavy metals in environment (10 papers) and Microbial Fuel Cells and Bioremediation (9 papers). Song Wang is often cited by papers focused on Vanadium and Halogenation Chemistry (11 papers), Heavy metals in environment (10 papers) and Microbial Fuel Cells and Bioremediation (9 papers). Song Wang collaborates with scholars based in China, United States and Denmark. Song Wang's co-authors include Baogang Zhang, Yifeng Zhang, Muhe Diao, Hui Liu, Yongzhong Zhu, Hailing Guo, Liang Zhou, Hongjie Zhang, Shengqun Su and Ting Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Song Wang

111 papers receiving 3.7k citations

Hit Papers

Microbes drive global soil nitrogen mineralization and av... 2018 2026 2020 2023 2018 100 200 300

Peers

Song Wang
Comparison fields: 5 of 155
  • Pollution 1.0k
  • Biomedical Engineering 810
  • Inorganic Chemistry 802
  • Materials Chemistry 518
  • Water Science and Technology 452
Replace Zhuang Li with:
Zhuang Li China
Rajesh K. Sani United States
Yanhong Li China
Li Chen China
Jiawei Wang China
Yingbo Dong China
Yonghua Wang China
Guoqiang Liu China
Xue Liu China
Zhuang Li China View profile →
Citations per field, relative to Song Wang
Song Wang · 1×
Citations per year, relative to Song Wang
Song Wang · 1×

Countries citing papers authored by Song Wang

Since Specialization
Citations

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

Fields of papers citing papers by Song Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Wang. A scholar is included among the top collaborators of Song Wang 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 Song Wang. Song Wang 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
# Work Indexed citations
1 1
2 6
3 0
4 3
5 22
6 2
7 8
8 5
9 13
10 12
11 85
12 10
13 23
14 14
15 63
16 85
17 182
18 7
19 101
20 138

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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