Zhenwen Dai
- Atomic and Molecular Physics, and Optics top 5%
- Mechanics of Materials top 5%
- Artificial Intelligence top 10%
- Materials Chemistry
- Electrical and Electronic Engineering
- Co-authors
- Neil D. LawrenceZhankui JiangJavier GonzálezPhilipp HennigHuailiang XuP. QuinetXuefeng YanZhichao Li
- Topics
- Atomic and Molecular Physics (54 papers)Laser-induced spectroscopy and plasma (36 papers)Advanced Chemical Physics Studies (22 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceMonthly Notices of the Royal Astronomical Society
- Partner nations
- ChinaBelgiumUnited Kingdom
In The Last Decade
Zhenwen Dai
88 papers receiving 824 citations
Peers
Comparison fields: 5 of 81
- Atomic and Molecular Physics, and Optics 429
- Mechanics of Materials 218
- Artificial Intelligence 145
- Materials Chemistry 112
- Electrical and Electronic Engineering 111
Countries citing papers authored by Zhenwen Dai
This map shows the geographic impact of Zhenwen Dai'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 Zhenwen Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenwen Dai more than expected).
Fields of papers citing papers by Zhenwen Dai
This network shows the impact of papers produced by Zhenwen Dai. 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 Zhenwen Dai. The network helps show where Zhenwen Dai may publish in the future.
Co-authorship network of co-authors of Zhenwen Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenwen Dai. A scholar is included among the top collaborators of Zhenwen Dai 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 Zhenwen Dai. Zhenwen Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | Stochastic Variational Inference for Dynamic Correlated Topic Models. | 3 |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Structured Variationally Auto-encoded Optimization. | 5 |
| 10 | Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes | 5 |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 98 | |
| 14 | 7 | |
| 15 | What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach | 5 |
| 16 | 11 | |
| 17 | 16 | |
| 18 | 19 | |
| 19 | 21 | |
| 20 | 1 |
About Zhenwen Dai
Zhenwen Dai is a scholar working on Atomic and Molecular Physics, and Optics, Radiation and Mechanics of Materials, having authored 94 papers that have together received 875 indexed citations. Recurring topics across this work include Atomic and Molecular Physics (54 papers), Laser-induced spectroscopy and plasma (36 papers) and Advanced Chemical Physics Studies (22 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (429 citations), Radiation (85 citations) and Mechanics of Materials (218 citations). Zhenwen Dai has collaborated with scholars based in China, Belgium and United Kingdom. Frequent co-authors include Neil D. Lawrence, Zhankui Jiang, Javier González, Philipp Hennig, Huailiang Xu, P. Quinet, Xuefeng Yan, Zhichao Li, Bei Wang and Sune Svanberg. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Monthly Notices of the Royal Astronomical Society.
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.