Xiaoyan Chang
- Pollution top 5%
- Wastewater Treatment and Nitrogen Removal 4
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- Microbial Community Ecology and Physiology 3
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- Phytochemistry and Biological Activities 3
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- Natural product bioactivities and synthesis 3
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- Plant-based Medicinal Research 3
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- Lung Cancer Diagnosis and Treatment 3
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- Radiomics and Machine Learning in Medical Imaging 2
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- Traditional Chinese Medicine Analysis 2
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoyan Chang
24 papers receiving 403 citations
Peers
Comparison fields: 5 of 87
- Pollution 154
- Industrial and Manufacturing Engineering 39
- Health, Toxicology and Mutagenesis 60
- Geochemistry and Petrology 23
- Environmental Engineering 46
Countries citing papers authored by Xiaoyan Chang
This map shows the geographic impact of Xiaoyan Chang'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 Xiaoyan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Chang more than expected).
Fields of papers citing papers by Xiaoyan Chang
This network shows the impact of papers produced by Xiaoyan Chang. 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 Xiaoyan Chang. The network helps show where Xiaoyan Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyan Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 104 | |
| 13 | 2019 | 27 | |
| 14 | 2017 | 45 | |
| 15 | 2016 | 2 | |
| 16 | 2015 | 17 | |
| 17 | 2013 | 21 | |
| 18 | 2012 | 23 | |
| 19 | 2012 | 41 | |
| 20 | [Diagnosis and differential diagnosis of cervical intraepithelial neoplasias and related disease]. | 2007 | 1 |
About Xiaoyan Chang
Xiaoyan Chang is a scholar working on Pharmacology, Pollution, Gastroenterology, Complementary and alternative medicine and Biochemistry, having authored 24 papers that have together received 407 indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (4 papers), Microbial Community Ecology and Physiology (3 papers), Phytochemistry and Biological Activities (3 papers), Natural product bioactivities and synthesis (3 papers), Plant-based Medicinal Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Pollution (154 citations), Industrial and Manufacturing Engineering (39 citations), Health, Toxicology and Mutagenesis (60 citations), Geochemistry and Petrology (23 citations) and Environmental Engineering (46 citations). Xiaoyan Chang has collaborated with scholars based in China and United States. Frequent co-authors include Huiping Zeng, Yue Shi, Zhi Lin, Ruohan Xie, Jun Ge, Lingli Lu, Wei Shuai, Dandi Hou, Runze Wang and Ting Liu. Their work appears in journals such as Molecules, Bioresource Technology, Frontiers in Pharmacology, Postgraduate Medical Journal and Natural Product Communications.
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.