Jin-Jin Fu

969 citations
24 papers · 781 · h-index 14

Impact in

Papers in

Jin-Jin Fu

24 papers receiving 776 citations

Peers

Jin-Jin Fu
Comparison fields: 5 of 67
  • Pollution 670
  • Health, Toxicology and Mutagenesis 320
  • Environmental Engineering 201
  • Water Science and Technology 186
  • Catalysis 88
Replace Aleksandra Ziembińska-Buczyńska with:
Aleksandra Ziembińska-Buczyńska Poland
Lian-Zeng-Ji Xu China
Dong-Qi Huang China
Qingxian Su Denmark
Lingjie Liu China
Wenjie Ma China
I. Zekker Estonia
Youkang Zhao China
Weihua Zhao China
Jin-Jin Fu relative to Aleksandra Ziembińska-Buczyńska Poland Aleksandra Ziembińska-Buczyńska's profile →
Citations per field
00.5×1.5×
Aleksandra Ziembińska-Buczyńska · 1×
Citations per year

Countries citing papers authored by Jin-Jin Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Jin Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Jin Fu. 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 Jin-Jin Fu. The network helps show where Jin-Jin Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021123
2 2021110
3 202085
4 202077
5 202072
6 202147
7 202046
8 202044
9 202137
10 202228
11 202123
12 202220
13 202217
14 202216
15 202412
16 20245
17 20244
18 20234
19 20244
20 20242

About Jin-Jin Fu

Jin-Jin Fu is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Environmental Engineering, Water Science and Technology and Ecology, having authored 24 papers that have together received 781 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (16 papers), Water Treatment and Disinfection (12 papers), Microbial Fuel Cells and Bioremediation (5 papers), Membrane Separation Technologies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Luminescence and Fluorescent Materials (2 papers), Microbial Community Ecology and Physiology (2 papers) and Fecal contamination and water quality (2 papers). The work is most often cited by research in Pollution (670 citations), Health, Toxicology and Mutagenesis (320 citations), Environmental Engineering (201 citations), Water Science and Technology (186 citations) and Catalysis (88 citations). Jin-Jin Fu has collaborated with scholars based in China, Japan and Saudi Arabia. Frequent co-authors include Nian-Si Fan, Ren‐Cun Jin, Bao‐Cheng Huang, Quan Zhang, Ren‐Cun Jin, Dong-Qi Huang, Ziyue Li, Ping Zheng, Yu‐Hui Bai and Yong Huang. Their work appears in journals such as The Science of The Total Environment, Bioresource Technology, Journal of Cleaner Production, Current Pollution Reports and Analytica Chimica Acta.

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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