Zhu Chang-chun
- Materials Chemistry
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Mechanics of Materials
- Co-authors
- Wenxing BaoWanzhao CuiYukui LiJunhua LiuJianqiang HanYongning HeXin LiYong Zhang
- Topics
- Carbon Nanotubes in Composites (10 papers)Graphene research and applications (5 papers)Mechanical and Optical Resonators (5 papers)
- Partner nations
- China
In The Last Decade
Zhu Chang-chun
21 papers receiving 450 citations
Peers
Comparison fields: 5 of 56
- Materials Chemistry 321
- Biomedical Engineering 127
- Atomic and Molecular Physics, and Optics 112
- Electrical and Electronic Engineering 112
- Mechanics of Materials 38
Countries citing papers authored by Zhu Chang-chun
This map shows the geographic impact of Zhu Chang-chun'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 Zhu Chang-chun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhu Chang-chun more than expected).
Fields of papers citing papers by Zhu Chang-chun
This network shows the impact of papers produced by Zhu Chang-chun. 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 Zhu Chang-chun. The network helps show where Zhu Chang-chun may publish in the future.
Co-authorship network of co-authors of Zhu Chang-chun
This figure shows the co-authorship network connecting the top 25 collaborators of Zhu Chang-chun. A scholar is included among the top collaborators of Zhu Chang-chun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhu Chang-chun. Zhu Chang-chun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neural Network Hybrid Modeling Method For Transducer Calibration | 1 |
| 2 | Improving Carbon Nanotube Field Emission Display Luminescence Uniformity by Introducing a Reactive Current Limiting Layer | 1 |
| 3 | MIMO Random Vibration Control Simulation in the Three Aixs-six DOF Shaking Table | 2 |
| 4 | Device Fabrication of Triode Field Emission Display | 0 |
| 5 | 2 | |
| 6 | Ni-Cu PLATED CNTs AND THE PROPERTIES OF ANTI-ELECTROMAGNETIC WAVE | 1 |
| 7 | 11 | |
| 8 | 22 | |
| 9 | 32 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 216 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | SIMULATION OF YOUNGS MODULUS OF SINGLE-WALLED CARBON NANOTUBES BY MOLECULAR DYNAMICS | 8 |
| 16 | ON QUALITY EDUCATION OF COLLEGE STUDENTS | 0 |
| 17 | 44 | |
| 18 | 57 | |
| 19 | 9 | |
| 20 | 1 |
About Zhu Chang-chun
Zhu Chang-chun is a scholar working on Materials Chemistry, Bioengineering and Control and Systems Engineering, having authored 24 papers that have together received 476 indexed citations. Recurring topics across this work include Carbon Nanotubes in Composites (10 papers), Graphene research and applications (5 papers) and Mechanical and Optical Resonators (5 papers). The work is most often cited by research in Materials Chemistry (321 citations), Atomic and Molecular Physics, and Optics (112 citations) and Biomedical Engineering (127 citations). Zhu Chang-chun has collaborated with scholars based in China. Frequent co-authors include Wenxing Bao, Wanzhao Cui, Yukui Li, Junhua Liu, Jianqiang Han, Yongning He, Junhua Liu, Xin Li, Yong Zhang and Changhui Tian. Their work appears in journals such as Materials Chemistry and Physics, Sensors and Actuators A Physical 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.