Dawei Gong
Impact in
- Ceramics and Composites top 5%
- Advanced ceramic materials synthesis
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- Neural Networks Stability and Synchronization
- Nonlinear Dynamics and Pattern Formation
Papers in
-
- Neural Networks Stability and Synchronization 17
- Nonlinear Dynamics and Pattern Formation 13
- Co-authors
- Xiaolin DaiHuaguang ZhangZhiwen ZhangBonan HuangMarc L. ReitmanS. TahamtanR. Taherzadeh MousavianR. Azari Khosroshahi
- Journals
- Neurocomputing (7 papers)Physical review. B, Condensed matter (6 papers)Journal of Applied Physics (4 papers)Neural Computing and Applications (4 papers)Complexity (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dawei Gong
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 120
- Ceramics and Composites 113
- Computer Networks and Communications 306
- Control and Systems Engineering 267
- Computer Vision and Pattern Recognition 198
- Statistical and Nonlinear Physics 119
Countries citing papers authored by Dawei Gong
This map shows the geographic impact of Dawei Gong'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 Dawei Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Gong more than expected).
Fields of papers citing papers by Dawei Gong
This network shows the impact of papers produced by Dawei Gong. 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 Dawei Gong. The network helps show where Dawei Gong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dawei Gong, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 33 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 8 | |
| 18 | 2020 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2014 | 29 |
About Dawei Gong
Dawei Gong is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (17 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Silicon Nanostructures and Photoluminescence (11 papers), Semiconductor materials and devices (10 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Semiconductor materials and interfaces (7 papers), stochastic dynamics and bifurcation (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Ceramics and Composites (113 citations), Computer Networks and Communications (306 citations), Control and Systems Engineering (267 citations), Computer Vision and Pattern Recognition (198 citations) and Statistical and Nonlinear Physics (119 citations). Dawei Gong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaolin Dai, Huaguang Zhang, Zhiwen Zhang, Bonan Huang, Marc L. Reitman, S. Tahamtan, R. Taherzadeh Mousavian, R. Azari Khosroshahi, Zhengyi Jiang and Jianzhong Xu. Their work appears in journals such as Neurocomputing, Physical review. B, Condensed matter, Journal of Applied Physics, Neural Computing and Applications and Complexity.
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.