Yan-Cheng Wang
- Condensed Matter Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electronic, Optical and Magnetic Materials
- Materials Chemistry
- Artificial Intelligence
- Topics
- Quantum many-body systems (21 papers)Physics of Superconductivity and Magnetism (13 papers)Advanced Condensed Matter Physics (12 papers)
- Cited by
- Condensed Matter PhysicsAtomic and Molecular Physics, and OpticsElectronic, Optical and Magnetic Materials
- Journals
- Physical Review LettersNature CommunicationsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yan-Cheng Wang
43 papers receiving 648 citations
Peers
Comparison fields: 5 of 60
- Condensed Matter Physics 364
- Atomic and Molecular Physics, and Optics 353
- Electronic, Optical and Magnetic Materials 105
- Materials Chemistry 98
- Artificial Intelligence 88
Countries citing papers authored by Yan-Cheng Wang
This map shows the geographic impact of Yan-Cheng 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 Yan-Cheng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan-Cheng Wang more than expected).
Fields of papers citing papers by Yan-Cheng Wang
This network shows the impact of papers produced by Yan-Cheng 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 Yan-Cheng Wang. The network helps show where Yan-Cheng Wang may publish in the future.
Co-authorship network of co-authors of Yan-Cheng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Cheng Wang. A scholar is included among the top collaborators of Yan-Cheng 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 Yan-Cheng Wang. Yan-Cheng 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 26 | |
| 9 | 16 | |
| 10 | 3 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 32 | |
| 14 | Fractionalized conductivity at topological phase transitions | 1 |
| 15 | 65 | |
| 16 | 28 | |
| 17 | 44 | |
| 18 | Caution on emergent continuous symmetry: A Monte Carlo investigation of the transverse-field frustrated Ising model on the triangular and honeycomb lattices | 1 |
| 19 | 10 | |
| 20 | 5 |
About Yan-Cheng Wang
Yan-Cheng Wang is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Software, having authored 49 papers that have together received 655 indexed citations. Recurring topics across this work include Quantum many-body systems (21 papers), Physics of Superconductivity and Magnetism (13 papers) and Advanced Condensed Matter Physics (12 papers). The work is most often cited by research in Condensed Matter Physics (364 citations), Atomic and Molecular Physics, and Optics (353 citations) and Electronic, Optical and Magnetic Materials (105 citations). Yan-Cheng Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zi Yang Meng, Meng Cheng, Yang Qi, Zheng Yan, Shu Chen, Rhine Samajdar, Subir Sachdev, Yucheng Wang, Junting Zhang and Jianli Wang. Their work appears in journals such as Physical Review Letters, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.