Chong Wang
Impact in
-
- Topological Materials and Phenomena
- Quantum and electron transport phenomena
- Materials Chemistry top 2%
- 2D Materials and Applications
- Graphene research and applications
- MXene and MAX Phase Materials
Papers in
-
- Topological Materials and Phenomena 31
- Quantum and electron transport phenomena 16
-
- Physics of Superconductivity and Magnetism 7
- Co-authors
- David M. BleiMatthew D. HoffmanJohn PaisleyDi XiaoXiaodong XuTing CaoTakashi TaniguchiKenji Watanabe
- Journals
- Nature Communications (10 papers)Physical review. B. (10 papers)Physical Review Letters (8 papers)Nano Letters (5 papers)Advanced Functional Materials (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chong Wang
97 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Atomic and Molecular Physics, and Optics 1.6k
- Materials Chemistry 1.9k
- Condensed Matter Physics 475
- Artificial Intelligence 915
- Computational Mathematics 16
Countries citing papers authored by Chong Wang
This map shows the geographic impact of Chong 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 Chong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Wang more than expected).
Fields of papers citing papers by Chong Wang
This network shows the impact of papers produced by Chong 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 Chong Wang. The network helps show where Chong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chong Wang, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 15 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 17 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 29 | |
| 13 | 2022 | 21 | |
| 14 | 2022 | 52 | |
| 15 | 2021 | 97 | |
| 16 | Direct visualization of magnetic domains and moiré magnetism in twisted 2D magnets Hit paper breakdown → | 2021 | 240 |
| 17 | 2020 | 13 | |
| 18 | Modeling Overlapping Communities with Node Popularities | 2013 | 11 |
| 19 | 2013 | 105 | |
| 20 | Truncation-free stochastic variational inference for Bayesian nonparametric models | 2012 | 21 |
About Chong Wang
Chong Wang is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 105 papers that have together received 4.7k indexed citations. Recurring topics across this work include 2D Materials and Applications (33 papers), Topological Materials and Phenomena (31 papers), Quantum and electron transport phenomena (16 papers), Graphene research and applications (16 papers), Perovskite Materials and Applications (9 papers), Advancements in Battery Materials (8 papers), MXene and MAX Phase Materials (7 papers) and Physics of Superconductivity and Magnetism (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Materials Chemistry (1.9k citations), Condensed Matter Physics (475 citations), Artificial Intelligence (915 citations) and Computational Mathematics (16 citations). Chong Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David M. Blei, Matthew D. Hoffman, John Paisley, Di Xiao, Xiaodong Xu, Ting Cao, Takashi Taniguchi, Kenji Watanabe, Wenhui Duan and Eric Anderson. Their work appears in journals such as Nature Communications, Physical review. B., Physical Review Letters, Nano Letters 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.