Fan Bai

1.3k citations
7 papers · 1.1k · 3 hit papers · h-index 7

Impact in

Papers in

Fan Bai

7 papers receiving 1.1k citations

Fan Bai's Hit Papers

A high-strength red mud–fly ash geopolymer and the implications of curing temperature 2023 · 270 citations
2700+1+2Years since publication100200300

Peers

Fan Bai
Comparison fields: 5 of 91
  • Civil and Structural Engineering 271
  • Water Science and Technology 169
  • Pollution 125
  • Industrial and Manufacturing Engineering 85
  • Building and Construction 129
Replace Xiangxin Jia with:
Xiangxin Jia China
Xia Chen China
Grigorios Itskos Greece
El Mostapha Lotfi Morocco
Xinyuan Zhan China
Tebogo Mashifana South Africa
Abdallah Dindi United Arab Emirates
Yarong Song Australia
Guangfei Qu China
Changqi Liu China
Fan Bai relative to Xiangxin Jia China Xiangxin Jia's profile →
Citations per field
00.5×3.5×
Xiangxin Jia · 1×
Citations per year

Countries citing papers authored by Fan Bai

Since Specialization
Citations

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

Fields of papers citing papers by Fan Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Fan Bai, 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 Fan Bai Line = papers co-authored together Fan Bai links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
The remediation efficiency of heavy metal pollutants in water by industrial red mud particle waste
Hit paper breakdown →
2022372
2
A high-strength red mud–fly ash geopolymer and the implications of curing temperature
Hit paper breakdown →
2023270
3
Corrosion effect of acid/alkali on cementitious red mud-fly ash materials containing heavy metal residues
Hit paper breakdown →
2023250
4 202275
5 202348
6 202443
7 20248

About Fan Bai

Fan Bai is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Building and Construction, Electrical and Electronic Engineering and Computational Mechanics, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bauxite Residue and Utilization (4 papers), Recycling and utilization of industrial and municipal waste in materials production (4 papers), Concrete and Cement Materials Research (4 papers), Electrokinetic Soil Remediation Techniques (2 papers), Fluid Dynamics and Heat Transfer (1 paper), Groundwater flow and contamination studies (1 paper), Lattice Boltzmann Simulation Studies (1 paper) and Adsorption and biosorption for pollutant removal (1 paper). The work is most often cited by research in Civil and Structural Engineering (271 citations), Water Science and Technology (169 citations), Pollution (125 citations), Industrial and Manufacturing Engineering (85 citations) and Building and Construction (129 citations). Fan Bai has collaborated with scholars based in China. Frequent co-authors include Bing Bai, Qingke Nie, Xiangxin Jia, Xianke Li, Haiyan Wu, Jing Chen, D. R. V. Prasada Rao, Yan Wang and Jingjing Liu. Their work appears in journals such as Frontiers in Earth Science, Environmental Technology & Innovation, Powder Technology, Sustainable Chemistry and Pharmacy and Heliyon.

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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