Wenbin Song

606 citations
16 papers · 453 indexed · h-index 8
Topics
Vehicle emissions and performance (7 papers)Air Quality and Health Impacts (6 papers)Machine Fault Diagnosis Techniques (6 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentEnvironmental Pollution

In The Last Decade

Wenbin Song

16 papers receiving 448 citations

Peers

Wenbin Song
Comparison fields: 5 of 69
  • Health, Toxicology and Mutagenesis 323
  • Atmospheric Science 240
  • Environmental Engineering 136
  • Automotive Engineering 131
  • Control and Systems Engineering 63
Replace Lina Vitali with:
Lina Vitali Italy
Arman Pouyaei United States
Fangzhou Guo United States
Chengzeng You China
Ebrahim Eslami United States
Ronak Sutaria India
Joel Kuula Finland
Anna Ripoll Spain
David Proffitt United States
Wenbin Song relative to Lina Vitali Italy Lina Vitali's profile →
Citations per field
00.5×1.5×2.0×
Lina Vitali · 1×
Citations per year

Countries citing papers authored by Wenbin Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenbin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenbin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wenbin Song. A scholar is included among the top collaborators of Wenbin 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 Wenbin Song. Wenbin Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 4
3 4
4 7
5 2
6 35
7 1
8 78
9 4
10 25
11 112
12 119
13 36
14 1
15 23
16 1

About Wenbin Song

Wenbin Song is a scholar working on Medical Laboratory Technology, Automotive Engineering and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 453 indexed citations. Recurring topics across this work include Vehicle emissions and performance (7 papers), Air Quality and Health Impacts (6 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (323 citations), Atmospheric Science (240 citations) and Automotive Engineering (131 citations). Wenbin Song has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Benjamin C. Schulze, Congbo Song, Yinchang Feng, Qili Dai, Jing Ding, Baoshuang Liu, Yufen Zhang, Xiaohui Bi, Philip K. Hopke and Yanzhao Hao. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

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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