Zhe Cheng
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Clinical Psychology top 10%
- COVID-19 and Mental Health
Papers in
-
- Complex Network Analysis Techniques 2
-
- scientometrics and bibliometrics research 2
- Co-authors
- Chuanyi Wang (5 shared papers)Michael McAleer (1 shared paper)Xiao‐Guang Yue (1 shared paper)Yuncong Liu (2 shared papers)Chao Wang (2 shared papers)Yucheng Zhang (2 shared papers)Lili Chen (2 shared papers)Wenwen Feng (2 shared papers)
- Journals
- Sustainability (3 papers)International Journal of Emerging Technologies in Learning (iJET) (1 paper)Nature Nanotechnology (1 paper)Advanced Materials (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhe Cheng
10 papers receiving 575 citations
Peers
Comparison fields: 5 of 113
- Modeling and Simulation 40
- Clinical Psychology 118
- General Dentistry 8
- Polymers and Plastics 75
- Computer Science Applications 29
Countries citing papers authored by Zhe Cheng
This map shows the geographic impact of Zhe Cheng'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 Zhe Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhe Cheng more than expected).
Fields of papers citing papers by Zhe Cheng
This network shows the impact of papers produced by Zhe Cheng. 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 Zhe Cheng. The network helps show where Zhe Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhe Cheng, 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 | 2020 | 354 | |
| 2 | 2023 | 69 | |
| 3 | 2002 | 69 | |
| 4 | 2021 | 64 | |
| 5 | 2019 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2025 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 2 | |
| 11 | 2021 | 0 |
About Zhe Cheng
Zhe Cheng is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Biomedical Engineering, Materials Chemistry and Infectious Diseases, having authored 11 papers that have together received 601 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (2 papers), Complex Network Analysis Techniques (2 papers), scientometrics and bibliometrics research (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Soft Robotics and Applications (1 paper), Knowledge Management and Sharing (1 paper), Catalytic Processes in Materials Science (1 paper) and Innovation Policy and R&D (1 paper). The work is most often cited by research in Modeling and Simulation (40 citations), Clinical Psychology (118 citations), General Dentistry (8 citations), Polymers and Plastics (75 citations) and Computer Science Applications (29 citations). Zhe Cheng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuanyi Wang, Michael McAleer, Xiao‐Guang Yue, Yuncong Liu, Chao Wang, Yucheng Zhang, Lili Chen, Wenwen Feng, Junying Zhang and Zhongtai Zhang. Their work appears in journals such as Sustainability, International Journal of Emerging Technologies in Learning (iJET), Nature Nanotechnology, Advanced Materials and Advanced Functional Materials.
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.