Feifei Wang
Impact in
- Pollution top 2%
- Heavy metals in environment
-
- Radioactivity and Radon Measurements
Papers in
-
- Topic Modeling 14
- Advanced Text Analysis Techniques 9
- Geochemistry and Geologic Mapping 6
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- Web Data Mining and Analysis 5
- Co-authors
- Qingyu Guan (2 shared papers)Ninghui Pan (2 shared papers)Jinkuo Lin (2 shared papers)Rui Zhao (2 shared papers)Chuanqi Xu (2 shared papers)Haiping Luo (1 shared paper)Yanyan Yang (1 shared paper)Diyi Chen (4 shared papers)
- Journals
- The Astrophysical Journal (3 papers)Linear Algebra and its Applications (3 papers)Information Sciences (3 papers)Expert Systems with Applications (3 papers)Computational Statistics & Data Analysis (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feifei Wang
129 papers receiving 2.0k citations
Feifei Wang's Hit Papers
Peers
Comparison fields: 5 of 167
- Pollution 470
- Radiological and Ultrasound Technology 157
- Geochemistry and Petrology 149
- Modeling and Simulation 75
- Artificial Intelligence 562
Countries citing papers authored by Feifei Wang
This map shows the geographic impact of Feifei 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 Feifei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Wang more than expected).
Fields of papers citing papers by Feifei Wang
This network shows the impact of papers produced by Feifei 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 Feifei Wang. The network helps show where Feifei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Source apportionment of heavy metals in agricultural soil based on PMF: A case study in Hexi Corridor, northwest China Hit paper breakdown → | 2017 | 498 |
| 2 | 2014 | 128 | |
| 3 | 2014 | 81 | |
| 4 | 2017 | 77 | |
| 5 | 2005 | 76 | |
| 6 | 2019 | 60 | |
| 7 | 2015 | 54 | |
| 8 | 2019 | 51 | |
| 9 | 2016 | 49 | |
| 10 | 2019 | 42 | |
| 11 | 2016 | 42 | |
| 12 | 2023 | 39 | |
| 13 | 2021 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2024 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 2016 | 26 | |
| 20 | 2022 | 25 |
About Feifei Wang
Feifei Wang is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Economics and Econometrics, having authored 150 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Complex Network Analysis Techniques (12 papers), Advanced Text Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (7 papers), Geochemistry and Geologic Mapping (6 papers), Geology and Paleoclimatology Research (5 papers), Statistical Methods and Inference (5 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Pollution (470 citations), Radiological and Ultrasound Technology (157 citations), Geochemistry and Petrology (149 citations), Modeling and Simulation (75 citations) and Artificial Intelligence (562 citations). Feifei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qingyu Guan, Ninghui Pan, Jinkuo Lin, Rui Zhao, Chuanqi Xu, Haiping Luo, Yanyan Yang, Diyi Chen, Xinwei Qiu and Yu Deng. Their work appears in journals such as The Astrophysical Journal, Linear Algebra and its Applications, Information Sciences, Expert Systems with Applications and Computational Statistics & Data Analysis.
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.