Xin-Wen Wang
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Renewable Energy, Sustainability and the Environment
- Computer Vision and Pattern Recognition
- Co-authors
- Guojian YangDeng-Yu ZhangShi-Qing TangZhiyong WangMao‐Wang LuXiang LiuLe‐Man KuangMao-Fa Fang
- Topics
- Quantum Information and Cryptography (47 papers)Quantum Mechanics and Applications (38 papers)Quantum Computing Algorithms and Architecture (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPhysical Review A
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xin-Wen Wang
48 papers receiving 684 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 722
- Atomic and Molecular Physics, and Optics 686
- Electrical and Electronic Engineering 22
- Renewable Energy, Sustainability and the Environment 10
- Computer Vision and Pattern Recognition 4
Countries citing papers authored by Xin-Wen Wang
This map shows the geographic impact of Xin-Wen Wang'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 Xin-Wen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin-Wen Wang more than expected).
Fields of papers citing papers by Xin-Wen Wang
This network shows the impact of papers produced by Xin-Wen Wang. 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 Xin-Wen Wang. The network helps show where Xin-Wen Wang may publish in the future.
Co-authorship network of co-authors of Xin-Wen Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xin-Wen Wang. A scholar is included among the top collaborators of Xin-Wen Wang 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 Xin-Wen Wang. Xin-Wen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 14 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 46 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | 10 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 6 |
About Xin-Wen Wang
Xin-Wen Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Renewable Energy, Sustainability and the Environment, having authored 49 papers that have together received 739 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (47 papers), Quantum Mechanics and Applications (38 papers) and Quantum Computing Algorithms and Architecture (30 papers). The work is most often cited by research in Artificial Intelligence (722 citations), Atomic and Molecular Physics, and Optics (686 citations) and Computational Mathematics (1 citation). Xin-Wen Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Guojian Yang, Deng-Yu Zhang, Shi-Qing Tang, Zhiyong Wang, Mao‐Wang Lu, Xiang Liu, Le‐Man Kuang, Mao-Fa Fang, Min Xie and Jun Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physical Review A.
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.