Pingya Wang
Impact in
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- Recycling and Waste Management Techniques
- Pollution top 5%
- Microplastics and Plastic Pollution
Papers in
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- Metabolomics and Mass Spectrometry Studies 9
- Identification and Quantification in Food 9
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- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Qiaoling Zhao (19 shared papers)Ying Zhou (3 shared papers)Qing Shen (17 shared papers)Xueying Ye (1 shared paper)Dongxu Wu (1 shared paper)Kejie Lao (1 shared paper)James V. Cizdziel (1 shared paper)Jing Xue (8 shared papers)
- Journals
- Food Chemistry (6 papers)Journal of Agricultural and Food Chemistry (4 papers)Food Research International (2 papers)Food Control (2 papers)Food and Agricultural Immunology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Pingya Wang
26 papers receiving 519 citations
Peers
Comparison fields: 5 of 74
- Industrial and Manufacturing Engineering 136
- Pollution 180
- Animal Science and Zoology 85
- Aquatic Science 32
- Food Science 73
Countries citing papers authored by Pingya Wang
This map shows the geographic impact of Pingya 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 Pingya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingya Wang more than expected).
Fields of papers citing papers by Pingya Wang
This network shows the impact of papers produced by Pingya 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 Pingya Wang. The network helps show where Pingya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingya 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 108 | |
| 2 | 2020 | 89 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2022 | 5 |
About Pingya Wang
Pingya Wang is a scholar working on Molecular Biology, Spectroscopy, Biomedical Engineering, Animal Science and Zoology and Food Science, having authored 26 papers that have together received 524 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (9 papers), Identification and Quantification in Food (9 papers), Mass Spectrometry Techniques and Applications (6 papers), Meat and Animal Product Quality (6 papers), Advanced Chemical Sensor Technologies (5 papers), Recycling and Waste Management Techniques (2 papers), Fatty Acid Research and Health (2 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (136 citations), Pollution (180 citations), Animal Science and Zoology (85 citations), Aquatic Science (32 citations) and Food Science (73 citations). Pingya Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Qiaoling Zhao, Ying Zhou, Qing Shen, Xueying Ye, Dongxu Wu, Kejie Lao, James V. Cizdziel, Jing Xue, Yiwei Cui and Gongshuai Song. Their work appears in journals such as Food Chemistry, Journal of Agricultural and Food Chemistry, Food Research International, Food Control and Food and Agricultural Immunology.
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.