F. Wang

2.8k citations
29 papers · 609 · 1 hit paper · h-index 13

Impact in

Papers in

F. Wang

26 papers receiving 588 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 · 274 citations
2740+2+4Years since publication50100150200250

Peers

F. Wang
Comparison fields: 5 of 117
  • Global and Planetary Change 250
  • Water Science and Technology 139
  • Environmental Engineering 103
  • Atmospheric Science 104
  • Soil Science 32
Replace Shifeng Huang with:
Shifeng Huang China
Haipeng Zhao China
Anupriya Mundra United States
Xueyan Zhang China
Sujit Kumar Roy Bangladesh
Zhongyuan Chen China
Shigenobu Tanaka Japan
Farhan Saleem Pakistan
Shuai Ma China
Hao Kong China
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 29 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 →
2020274
2 201641
3 201939
4 201928
5 201625
6 201723
7 201621
8 201920
9 200219
10 202319
11 202415
12 202214
13 202012
14 201111
15 20248
16 20237
17 20237
18 20236
19 20236
20 20085

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 29 papers that have together received 609 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (9 papers), Flood Risk Assessment and Management (8 papers), Hydrological Forecasting Using AI (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), SARS-CoV-2 detection and testing (3 papers), Hydrology and Drought Analysis (3 papers), Soil and Water Nutrient Dynamics (3 papers) and Soil erosion and sediment transport (2 papers). The work is most often cited by research in Global and Planetary Change (250 citations), Water Science and Technology (139 citations), Environmental Engineering (103 citations), Atmospheric Science (104 citations) and Soil Science (32 citations). F. Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaoyan He, Guangyuan Kan, Minglei Ren, Haijun Yu, Wei Shao, Dawei Zhang, Gang Wang, Ming Zhao, Abdul Raheem and Yaou Zhang. Their work appears in journals such as Journal of Hydrology Regional Studies, Journal of Hydrology, Water, International Journal of Hydrogen Energy and Journal of Applied Polymer Science.

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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