Qin Chang
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Parkinson's Disease Mechanisms and Treatments 2
- Biological Psychiatry top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Parkinson's Disease Mechanisms and Treatments 2
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- Neural Networks and Applications 8
- Fuzzy Logic and Control Systems 5
- Machine Learning and ELM 3
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- Face and Expression Recognition 4
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- Neonatal Respiratory Health Research 3
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- Plant-Microbe Interactions and Immunity 2
Qin Chang
43 papers receiving 993 citations
Peers
Comparison fields: 5 of 149
- Neurology 136
- Biological Psychiatry 40
- Developmental Neuroscience 35
- Neurology 115
- Cellular and Molecular Neuroscience 120
Countries citing papers authored by Qin Chang
This map shows the geographic impact of Qin 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 Qin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Chang more than expected).
Fields of papers citing papers by Qin Chang
This network shows the impact of papers produced by Qin 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 Qin Chang. The network helps show where Qin Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qin 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 63 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 4 | |
| 11 | 2019 | 44 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 14 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 15 | |
| 16 | 2012 | 162 | |
| 17 | Design of a algorithm of mapping from phase to sine amplitude in DDS of a GPS signal simulator system | 2005 | 1 |
| 18 | SCADA System and Its Application in Wind Power Plant | 2004 | 1 |
| 19 | 2004 | 101 | |
| 20 | 2004 | 95 |
About Qin Chang
Qin Chang is a scholar working on Applied Microbiology and Biotechnology, Neurology and Developmental Neuroscience, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Fuzzy Logic and Control Systems (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Face and Expression Recognition (4 papers), Machine Learning and ELM (3 papers), Neonatal Respiratory Health Research (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (136 citations), Biological Psychiatry (40 citations) and Developmental Neuroscience (35 citations). Qin Chang has collaborated with scholars based in China, United States and India. Frequent co-authors include Jian Wang, Jack W. Lipton, Chong Wai Tong, Paul M. Carvey, Chunhua Bian, D. Y. Qianli, Qinghong Shen, Fengzhu Sun, Yihui Luan and Nikhil R. Pal. Their work appears in journals such as IEEE Transactions on Fuzzy Systems, Neurocomputing, IEEE Transactions on Cybernetics, Information Sciences and Knowledge-Based Systems.
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.