Liang Bin

27 papers receiving 847 citations

Peers

Liang Bin
Comparison fields: 5 of 82
  • Automotive Engineering 573
  • Health, Toxicology and Mutagenesis 421
  • Fluid Flow and Transfer Processes 147
  • Transportation 95
  • Environmental Engineering 178
Replace David C. Quiros with:
David C. Quiros United States
Sangil Kwon South Korea
Tero Lähde Italy
Victor Timmers United Kingdom
Andrzej Ziółkowski Poland
Sang-Hee Woo South Korea
Mohammad Jafari Australia
Daniele Sofia Italy
Kyung‐Hwan Kwak South Korea
S. S. Thipse India
Liang Bin relative to David C. Quiros United States David C. Quiros's profile →
Citations per field
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David C. Quiros · 1×
Citations per year

Countries citing papers authored by Liang Bin

Since Specialization
Citations

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

Fields of papers citing papers by Liang Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013163
2 2012149
3 201184
4 201381
5 201277
6 201361
7 201353
8 200433
9 201330
10 200228
11 202414
12 202214
13 202214
14 202413
15 20239
16 20238
17 20237
18 20227
19 20234
20
Effects of Different Fertigation Methods on Yield and Nutrient Uptake of Potato
20134

About Liang Bin

Liang Bin is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering, Biomedical Engineering, Atmospheric Science and Pollution, having authored 30 papers that have together received 864 indexed citations. Recurring topics across this work include Vehicle emissions and performance (8 papers), Air Quality and Health Impacts (8 papers), Atmospheric chemistry and aerosols (6 papers), Thermochemical Biomass Conversion Processes (5 papers), Transportation Planning and Optimization (3 papers), Energy and Environment Impacts (3 papers), Advanced Combustion Engine Technologies (3 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Automotive Engineering (573 citations), Health, Toxicology and Mutagenesis (421 citations), Fluid Flow and Transfer Processes (147 citations), Transportation (95 citations) and Environmental Engineering (178 citations). Liang Bin has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunshan Ge, Jianwei Tan, Mingliang Fu, Han Xiu-kun, Lijun Hao, Liping Gao, Yan Ding, Linxiao Yu, Sheng Su and Yongming Lin. Their work appears in journals such as Fuel, The Science of The Total Environment, Atmospheric Environment, Journal of Composite Materials and Atmospheric Pollution Research.

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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