Fei Ding

424 citations
23 papers · 318 · h-index 9

Impact in

Papers in

    • Groundwater flow and contamination studies 7
    • Groundwater and Watershed Analysis 2
    • Hydrological Forecasting Using AI 2
    • Water Quality and Pollution Assessment 4
    • Adsorption and biosorption for pollutant removal 2

Fei Ding

21 papers receiving 312 citations

Peers

Fei Ding
Comparison fields: 5 of 60
  • Geochemistry and Petrology 66
  • Water Science and Technology 141
  • Environmental Engineering 145
  • Industrial and Manufacturing Engineering 46
  • Environmental Chemistry 29
Replace Hyunsu Kim with:
Hyunsu Kim South Korea
Harish Bhandary Kuwait
Hossein Mohammadzadeh Iran
Manuel Sapiano Italy
Tuvia Turkeltaub Israel
Valentina Andreea Calmuc Romania
Maxim Arseni Romania
Angela Nigro Italy
Eun Hye Na South Korea
Gennaro A. Stefania Italy
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Citations per field
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Citations per year

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2023113
2 201828
3 202226
4 201226
5 201923
6 202216
7 201813
8 201413
9 202012
10 20198
11 20216
12 20196
13 20206
14 20166
15 20185
16 20214
17 20162
18 20132
19
Reproduction of Heavy Rainfall Due to Typhoon Morakot Using MM5
20111
20 20121

About Fei Ding

Fei Ding is a scholar working on Environmental Engineering, Water Science and Technology, Geochemistry and Petrology, Inorganic Chemistry and Oceanography, having authored 23 papers that have together received 318 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (7 papers), Groundwater and Isotope Geochemistry (7 papers), Water Quality and Pollution Assessment (4 papers), Radioactive element chemistry and processing (3 papers), Groundwater and Watershed Analysis (2 papers), Hydrological Forecasting Using AI (2 papers), Adsorption and biosorption for pollutant removal (2 papers) and Tropical and Extratropical Cyclones Research (2 papers). The work is most often cited by research in Geochemistry and Petrology (66 citations), Water Science and Technology (141 citations), Environmental Engineering (145 citations), Industrial and Manufacturing Engineering (46 citations) and Environmental Chemistry (29 citations). Fei Ding has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Wenpan Li, Shilong Hao, Wenjie Zhang, Han Soo Lee, Takao Yamashita, Jinsheng Wang, Rui Zuo, John Rong-Chung Hsu, Yanguo Teng and Meng Li. Their work appears in journals such as Water, Human and Ecological Risk Assessment An International Journal, Chinese Geographical Science, Hydrological Processes and Computers & Geosciences.

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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