Chang Yan
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
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- Machine Fault Diagnosis Techniques 4
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- Gear and Bearing Dynamics Analysis 4
- Co-authors
- Long Yuan (2 shared papers)Jun Deng (2 shared papers)Zui Pan (3 shared papers)David H. Wang (1 shared paper)Zhen Fan (1 shared paper)Chaochu Cui (1 shared paper)Leming Sun (1 shared paper)Mingjun Zhang (1 shared paper)
- Journals
- Mechanical Systems and Signal Processing (1 paper)Measurement Science and Technology (1 paper)Journal of Sound and Vibration (1 paper)Acta Biomaterialia (1 paper)Measurement (1 paper)
- Partner nations
- ChinaUnited StatesGreece
In The Last Decade
Chang Yan
12 papers receiving 423 citations
Peers
Comparison fields: 5 of 83
- Biomaterials 136
- Biomedical Engineering 188
- Rehabilitation 19
- Microbiology 18
- Materials Chemistry 126
Countries citing papers authored by Chang Yan
This map shows the geographic impact of Chang Yan'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 Chang Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Yan more than expected).
Fields of papers citing papers by Chang Yan
This network shows the impact of papers produced by Chang Yan. 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 Chang Yan. The network helps show where Chang Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Yan, 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 | 2018 | 133 | |
| 2 | 2018 | 122 | |
| 3 | 2018 | 80 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 20 | |
| 6 | 2021 | 14 | |
| 7 | 2018 | 14 | |
| 8 | MicroRNA-1907 enhances atherosclerosis-associated endothelial cell apoptosis by suppressing Bcl-2. | 2017 | 10 |
| 9 | 2021 | 5 | |
| 10 | 2012 | 5 | |
| 11 | 2021 | 3 | |
| 12 | 2013 | 1 |
About Chang Yan
Chang Yan is a scholar working on Control and Systems Engineering, Mechanical Engineering, Molecular Biology, Oncology and Biomaterials, having authored 12 papers that have together received 430 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (4 papers), Gear and Bearing Dynamics Analysis (4 papers), Graphene and Nanomaterials Applications (2 papers), Peptidase Inhibition and Analysis (2 papers), Supramolecular Self-Assembly in Materials (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoplatforms for cancer theranostics (2 papers) and Fuzzy Logic and Control Systems (1 paper). The work is most often cited by research in Biomaterials (136 citations), Biomedical Engineering (188 citations), Rehabilitation (19 citations), Microbiology (18 citations) and Materials Chemistry (126 citations). Chang Yan has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Long Yuan, Jun Deng, Zui Pan, David H. Wang, Zhen Fan, Chaochu Cui, Leming Sun, Mingjun Zhang, Gaoxing Luo and Wei Qian. Their work appears in journals such as Mechanical Systems and Signal Processing, Measurement Science and Technology, Journal of Sound and Vibration, Acta Biomaterialia and Measurement.
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.