Sha Wang
Impact in
Papers in
- Pollution 15
- Wastewater Treatment and Nitrogen Removal 13
-
- Microbial Fuel Cells and Bioremediation 9
- Co-authors
- Yongguang Yu (3 shared papers)Han‐Xiong Li (1 shared paper)Junzhi Yu (1 shared paper)Jianqiang Zhao (8 shared papers)Hua Xie (1 shared paper)Chunpeng Yang (1 shared paper)Xinwen Peng (2 shared papers)Emily Hitz (1 shared paper)
- Journals
- RSC Advances (3 papers)IEEE Access (2 papers)Water Air & Soil Pollution (2 papers)Scientific Reports (2 papers)Bioresource Technology (2 papers)
- Partner nations
- ChinaSlovakiaUnited States
In The Last Decade
Sha Wang
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Pollution 233
- Catalysis 128
- Modeling and Simulation 64
- Statistical and Nonlinear Physics 150
- Automotive Engineering 111
Countries citing papers authored by Sha Wang
This map shows the geographic impact of Sha 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 Sha Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Wang more than expected).
Fields of papers citing papers by Sha Wang
This network shows the impact of papers produced by Sha 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 Sha Wang. The network helps show where Sha Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 235 | |
| 2 | 2009 | 166 | |
| 3 | 2016 | 143 | |
| 4 | 2021 | 93 | |
| 5 | 2019 | 49 | |
| 6 | 2015 | 43 | |
| 7 | 2017 | 42 | |
| 8 | 2017 | 37 | |
| 9 | 2012 | 37 | |
| 10 | 2019 | 36 | |
| 11 | 2016 | 32 | |
| 12 | 2018 | 30 | |
| 13 | 2020 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2019 | 27 | |
| 16 | 2017 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2014 | 23 | |
| 19 | 2016 | 22 | |
| 20 | 2019 | 22 |
About Sha Wang
Sha Wang is a scholar working on Pollution, Environmental Engineering, Analytical Chemistry, Health, Toxicology and Mutagenesis and Catalysis, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (13 papers), Microbial Fuel Cells and Bioremediation (9 papers), Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), Electrochemical sensors and biosensors (5 papers), Petroleum Processing and Analysis (4 papers), Water Treatment and Disinfection (4 papers) and Hydrocarbon exploration and reservoir analysis (4 papers). The work is most often cited by research in Pollution (233 citations), Catalysis (128 citations), Modeling and Simulation (64 citations), Statistical and Nonlinear Physics (150 citations) and Automotive Engineering (111 citations). Sha Wang has collaborated with scholars based in China, Slovakia and United States. Frequent co-authors include Yongguang Yu, Han‐Xiong Li, Junzhi Yu, Jianqiang Zhao, Hua Xie, Chunpeng Yang, Xinwen Peng, Emily Hitz, Run-Cang Sun and Feng Jiang. Their work appears in journals such as RSC Advances, IEEE Access, Water Air & Soil Pollution, Scientific Reports and Bioresource Technology.
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.