Chunfa Wu

1.3k citations
35 papers · 1.2k · h-index 20

Impact in

Papers in

    • Heavy metals in environment 15
    • Pesticide and Herbicide Environmental Studies 3
    • Microplastics and Plastic Pollution 1
    • Soil Geostatistics and Mapping 11

Chunfa Wu

35 papers receiving 1.1k citations

Peers

Chunfa Wu
Comparison fields: 5 of 64
  • Pollution 361
  • Environmental Engineering 314
  • Waste Management and Disposal 78
  • Water Science and Technology 145
  • Environmental Chemistry 67
Replace Kai‐Wei Juang with:
Kai‐Wei Juang Taiwan
Isdaryanto Iskandar Indonesia
Wenyong Wu China
Antônio Rodrigues Fernandes Brazil
Antonín Nikodem Czechia
Matt A. Limmer United States
John J. Sloan United States
S. C. Barman India
Christian Schvartz France
João José Marques Brazil
Chunfa Wu relative to Kai‐Wei Juang Taiwan Kai‐Wei Juang's profile →
Citations per field
00.5×1.5×2.1×
Kai‐Wei Juang · 1×
Citations per year

Countries citing papers authored by Chunfa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunfa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010114
2 201389
3 200985
4 201784
5 201082
6 200776
7 201272
8 200856
9 200949
10 201347
11 201540
12 201036
13 200930
14 201630
15 201427
16 201727
17 202226
18 202226
19 201824
20 201421

About Chunfa Wu

Chunfa Wu is a scholar working on Pollution, Environmental Engineering, Health, Toxicology and Mutagenesis, Soil Science and Waste Management and Disposal, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Heavy metals in environment (15 papers), Soil Geostatistics and Mapping (11 papers), Pesticide and Herbicide Environmental Studies (3 papers), Toxic Organic Pollutants Impact (3 papers), Soil Management and Crop Yield (2 papers), Offshore Engineering and Technologies (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Microplastics and Plastic Pollution (1 paper). The work is most often cited by research in Pollution (361 citations), Environmental Engineering (314 citations), Waste Management and Disposal (78 citations), Water Science and Technology (145 citations) and Environmental Chemistry (67 citations). Chunfa Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongming Luo, Jiaping Wu, Yongming Luo, Budiman Minasny, Ying Teng, Haibo Zhang, Stephen Daniel DeGloria, Yuxin Ma, Hao Zhu and Yujuan Huang. Their work appears in journals such as Environmental Earth Sciences, Environmental Science and Pollution Research, The Science of The Total Environment, Geoderma and Journal of Soils and Sediments.

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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