Ding Pei
- Condensed Matter Physics top 2%
- Advanced Condensed Matter Physics 7
-
- Topological Materials and Phenomena 13
- Materials Chemistry top 10%
- Graphene research and applications 12
- 2D Materials and Applications 7
-
- Speech and Audio Processing 8
- Music and Audio Processing 6
-
- Speech Recognition and Synthesis 6
-
- Protein Interaction Studies and Fluorescence Analysis 6
- Journals
- International Journal of Biological Macromolecules (3 papers)Physical review. B. (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Ding Pei
37 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Condensed Matter Physics 536
- Atomic and Molecular Physics, and Optics 896
- Materials Chemistry 692
- Electronic, Optical and Magnetic Materials 218
- Electrical and Electronic Engineering 147
Countries citing papers authored by Ding Pei
This map shows the geographic impact of Ding Pei'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 Ding Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Pei more than expected).
Fields of papers citing papers by Ding Pei
This network shows the impact of papers produced by Ding Pei. 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 Ding Pei. The network helps show where Ding Pei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ding Pei, 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 | 3 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 23 | |
| 14 | 2022 | 24 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 12 | |
| 17 | Magnetic Weyl semimetal phase in a Kagomé crystalbreakdown → | 2019 | 591 |
| 18 | 2008 | 8 | |
| 19 | 2007 | 1 | |
| 20 | RESEARCH OF AUTOMATIC FACE RECOGNITION BASED ON ICA | 2001 | 4 |
About Ding Pei
Ding Pei is a scholar working on Condensed Matter Physics, Signal Processing and Atomic and Molecular Physics, and Optics, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topological Materials and Phenomena (13 papers), Graphene research and applications (12 papers), Speech and Audio Processing (8 papers), Advanced Condensed Matter Physics (7 papers), 2D Materials and Applications (7 papers), Music and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Protein Interaction Studies and Fluorescence Analysis (6 papers). The work is most often cited by research in Condensed Matter Physics (536 citations), Atomic and Molecular Physics, and Optics (896 citations) and Materials Chemistry (692 citations). Ding Pei has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Céphise Cacho, Yulin Chen, Claudia Felser, Pavel Dudin, T. K. Kim, Yan Sun, Wujun Shi, S. Parkin, Zhongkai Liu and Lexian Yang. Their work appears in journals such as International Journal of Biological Macromolecules, Physical review. B., Nature Communications, Nature Physics and Advanced 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.