Fan Bai

1.3k total citations · 3 hit papers
7 papers, 964 citations indexed

About

Fan Bai is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Building and Construction. According to data from OpenAlex, Fan Bai has authored 7 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 5 papers in Mechanical Engineering and 4 papers in Building and Construction. Recurrent topics in Fan Bai's work include Bauxite Residue and Utilization (4 papers), Concrete and Cement Materials Research (4 papers) and Recycling and utilization of industrial and municipal waste in materials production (4 papers). Fan Bai is often cited by papers focused on Bauxite Residue and Utilization (4 papers), Concrete and Cement Materials Research (4 papers) and Recycling and utilization of industrial and municipal waste in materials production (4 papers). Fan Bai collaborates with scholars based in China. Fan Bai's co-authors include Bing Bai, Qingke Nie, Xiangxin Jia, Xianke Li, Haiyan Wu, Jing Chen, Yan Wang, D. R. V. Prasada Rao and Jingjing Liu and has published in prestigious journals such as Powder Technology, Heliyon and Environmental Technology & Innovation.

In The Last Decade

Fan Bai

7 papers receiving 943 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The remediation efficiency of heavy metal pollutants in water by industrial red mud particle waste

2022 335 citations Bing Bai, Fan Bai et al. Environmental Technology & Innovation profile →
A high-strength red mud–fly ash geopolymer and the implications of curing temperature

2023 243 citations Bing Bai, Fan Bai et al. Powder Technology profile →
Corrosion effect of acid/alkali on cementitious red mud-fly ash materials containing heavy metal residues

2023 221 citations Bing Bai, Jing Chen et al. Environmental Technology & Innovation profile →

Peers

Fan Bai

CSE

ME

MC

WST

EEE

Xiangxin Jia China

Tajudeen A. Oyehan Saudi Arabia

Tebogo Mashifana South Africa

Xia Chen China

Michal Slaný Slovakia

Yarong Song Australia

Lulu Zhou China

Xiaoqiang Dong China

Adel M’nif Tunisia

Michael Peterson Brazil

Xiangxin Jia China

Fan Bai

219 ×0.9

CSE

176 ×0.9

ME

196 ×1.0

MC

143 ×0.9

WST

135 ×1.0

EEE

Citations per year, relative to Fan Bai Fan Bai (= 1×) peers Xiangxin Jia

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-authorship network of co-authors of Fan Bai

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Bai, Fan, Bing Bai, Jing Chen, Qingke Nie, & Jingjing Liu. (2024). Development of an ambient cured high-strength red mud-based geopolymer through calcination activation. Sustainable Chemistry and Pharmacy. 42. 101866–101866. 7 indexed citations

2.

Bai, Bing, et al.. (2024). The migration process and temperature effect of aqueous solutions contaminated by heavy metal ions in unsaturated silty soils. Heliyon. 10(9). e30458–e30458. 40 indexed citations

3.

Bai, Bing, Jing Chen, Fan Bai, Qingke Nie, & Xiangxin Jia. (2023). Corrosion effect of acid/alkali on cementitious red mud-fly ash materials containing heavy metal residues. Environmental Technology & Innovation. 33. 103485–103485. 221 indexed citations breakdown →

4.

Bai, Bing, et al.. (2023). Adsorption mechanism of shell powders on heavy metal ions Pb2+/Cd2+ and the purification efficiency for contaminated soils. Frontiers in Earth Science. 10. 44 indexed citations

5.

Bai, Bing, Fan Bai, Qingke Nie, & Xiangxin Jia. (2023). A high-strength red mud–fly ash geopolymer and the implications of curing temperature. Powder Technology. 416. 118242–118242. 243 indexed citations breakdown →

6.

Bai, Bing, Yan Wang, D. R. V. Prasada Rao, & Fan Bai. (2022). The Effective Thermal Conductivity of Unsaturated Porous Media Deduced by Pore-Scale SPH Simulation. Frontiers in Earth Science. 10. 74 indexed citations

7.

Bai, Bing, Fan Bai, Xianke Li, et al.. (2022). The remediation efficiency of heavy metal pollutants in water by industrial red mud particle waste. Environmental Technology & Innovation. 28. 102944–102944. 335 indexed citations breakdown →

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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