Qing‐Long Fu

3.5k citations
100 papers · 2.7k indexed · 1 hit paper · h-index 29

Impact in

Papers in

Qing‐Long Fu

92 papers receiving 2.7k citations

Hit Papers

Deciphering dissolved organic matter by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS): from bulk to fractions and individuals 2022 · 115 citations
1152022202620232024255075100

Peers

Qing‐Long Fu
Comparison fields: 5 of 117
  • Pollution 714
  • Health, Toxicology and Mutagenesis 751
  • Environmental Chemistry 457
  • Industrial and Manufacturing Engineering 317
  • Water Science and Technology 467
Replace Jitao Lv with:
Jitao Lv China
Yu Yang United States
Michael Aeschbacher Switzerland
Osamu Nishimura Japan
Xujing Guo China
Gennaro Brunetti Italy
Tsair–Fuh Lin Taiwan
Gabriel Billon France
Gudrun Abbt‐Braun Germany
Mei Huang China
Qing‐Long Fu relative to Jitao Lv China Jitao Lv's profile →
Citations per field
00.5×1.5×
Jitao Lv · 1×
Citations per year

Countries citing papers authored by Qing‐Long Fu

Since Specialization
Citations

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

Fields of papers citing papers by Qing‐Long Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing‐Long 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 Qing‐Long Fu. The network helps show where Qing‐Long Fu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20259
3 20254
4 20250
5 20251
6 20254
7 20252
8 20251
9 202411
10 20249
11 202421
12 20246
13 202335
14 202310
15 20238
16 202323
17 202314
18 202322
19 202271
20 2019109

About Qing‐Long Fu

Qing‐Long Fu is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Environmental Chemistry, Geochemistry and Petrology and Oceanography, having authored 100 papers that have together received 2.7k indexed citations. Recurring topics across this work include Water Treatment and Disinfection (22 papers), Marine and coastal ecosystems (22 papers), Heavy metals in environment (13 papers), Isotope Analysis in Ecology (11 papers), Analytical chemistry methods development (10 papers), Atmospheric chemistry and aerosols (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and Mercury impact and mitigation studies (8 papers). The work is most often cited by research in Pollution (714 citations), Health, Toxicology and Mutagenesis (751 citations), Environmental Chemistry (457 citations), Industrial and Manufacturing Engineering (317 citations) and Water Science and Technology (467 citations). Qing‐Long Fu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Manabu Fujii, Varenyam Achal, Dongmei Zhou, Daoyong Zhang, Xiangliang Pan, Thomas Riedel, Lee Blaney, Eunsang Kwon, Lanhai Li and Jianzhou He. Their work appears in journals such as Environmental Science & Technology, Water Research, The Science of The Total Environment, Analytical Chemistry and Journal of Hazardous Materials.

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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