F. Wang

3.0k citations
32 papers · 661 · 1 hit paper · h-index 13

Impact in

Papers in

F. Wang

30 papers receiving 642 citations

F. Wang's Hit Papers

Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series 2020 · 294 citations
2940+2+4Years since publication50100150200250

Peers

F. Wang
Comparison fields: 5 of 117
  • Global and Planetary Change 263
  • Water Science and Technology 146
  • Environmental Engineering 110
  • Atmospheric Science 110
  • Soil Science 33
Replace Shifeng Huang with:
Shifeng Huang China
Sujit Kumar Roy Bangladesh
Xueyan Zhang China
Shigenobu Tanaka Japan
Márcio Cataldi Brazil
Ni Wang China
Jingping Liu China
Stefan Schäfer Germany
Shiji Li China
Jan Wohland Germany
F. Wang relative to Shifeng Huang China Shifeng Huang's profile →
Citations per field
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Shifeng Huang · 1×
Citations per year

Countries citing papers authored by F. Wang

Since Specialization
Citations

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

Fields of papers citing papers by F. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Re-evaluation of the Power of the Mann-Kendall Test for Detecting Monotonic Trends in Hydrometeorological Time Series
Hit paper breakdown →
2020294
2 201943
3 201643
4 201931
5 201626
6 202324
7 201724
8 201621
9 200220
10 201920
11 202417
12 202214
13 202012
14 201111
15 202410
16 20239
17 20237
18 20237
19 20236
20 20086

About F. Wang

F. Wang is a scholar working on Global and Planetary Change, Water Science and Technology, Environmental Engineering, Molecular Biology and Biomedical Engineering, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (8 papers), Hydrological Forecasting Using AI (7 papers), Hydrology and Drought Analysis (4 papers), Soil and Water Nutrient Dynamics (3 papers), Soil erosion and sediment transport (3 papers), SARS-CoV-2 detection and testing (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Global and Planetary Change (263 citations), Water Science and Technology (146 citations), Environmental Engineering (110 citations), Atmospheric Science (110 citations) and Soil Science (33 citations). F. Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guangyuan Kan, Xiaoyan He, Minglei Ren, Dawei Zhang, Haijun Yu, Wei Shao, Gang Wang, Abdul Raheem, Ming Zhao and Yaou Zhang. Their work appears in journals such as Journal of Hydrology Regional Studies, Water, Journal of Hydrology, International Journal of Hydrogen Energy and Drug Delivery.

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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