Yinxian Song

1.7k total citations
43 papers, 1.4k citations indexed

About

Yinxian Song is a scholar working on Pollution, Artificial Intelligence and Ecology. According to data from OpenAlex, Yinxian Song has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pollution, 10 papers in Artificial Intelligence and 8 papers in Ecology. Recurrent topics in Yinxian Song's work include Heavy metals in environment (17 papers), Geochemistry and Geologic Mapping (9 papers) and Heavy Metal Exposure and Toxicity (6 papers). Yinxian Song is often cited by papers focused on Heavy metals in environment (17 papers), Geochemistry and Geologic Mapping (9 papers) and Heavy Metal Exposure and Toxicity (6 papers). Yinxian Song collaborates with scholars based in China, Australia and United States. Yinxian Song's co-authors include Junfeng Ji, Zhongfang Yang, Xuyin Yuan, Ray L. Frost, Godwin A. Ayoko, Changping Mao, Jizhou Li, Frederick L. Theiss, Lingxiao Chen and Yubo Wen and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Yinxian Song

41 papers receiving 1.4k citations

Peers

Yinxian Song
Comparison fields: 5 of 95
  • Pollution 817
  • Health, Toxicology and Mutagenesis 385
  • Artificial Intelligence 299
  • Analytical Chemistry 224
  • Water Science and Technology 192
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Citations per field, relative to Yinxian Song
Yinxian Song · 1×
Citations per year, relative to Yinxian Song
Yinxian Song · 1×

Countries citing papers authored by Yinxian Song

Since Specialization
Citations

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

Fields of papers citing papers by Yinxian Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinxian Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yinxian Song. A scholar is included among the top collaborators of Yinxian Song 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 Yinxian Song. Yinxian Song 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 3
2 1
3 3
4 1
5 10
6 15
7 3
8 23
9 23
10 38
11
Pollution status and bioavailability of heavy metals in soils of a typical black shale area.
8
12 15
13 27
14 41
15
Evaluating heavy metals in soils from a typical industrialized town by the pollution diffusion response model: A case study in eastern China
1
16 5
17 4
18 99
19 10
20 47

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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