Tong Bie
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
-
- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
- Organic Electronics and Photovoltaics
Papers in
-
- Perovskite Materials and Applications 8
- Organic Light-Emitting Diodes Research 2
- Chalcogenide Semiconductor Thin Films 2
-
- Quantum Dots Synthesis And Properties 5
- 2D Materials and Applications 1
- Co-authors
- Ming Shao (9 shared papers)Lvpeng Yang (7 shared papers)Yu Yu (2 shared papers)Yerun Gao (2 shared papers)Nan Zheng (1 shared paper)Feng He (1 shared paper)Xinliang Zhang (1 shared paper)Peiyu Ma (3 shared papers)
- Journals
- ACS Applied Energy Materials (1 paper)Nanophotonics (1 paper)ACS Nano (1 paper)Advanced Materials (1 paper)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Tong Bie
10 papers receiving 337 citations
Tong Bie's Hit Papers
Peers
Comparison fields: 5 of 18
- Polymers and Plastics 162
- Electrical and Electronic Engineering 319
- Materials Chemistry 224
- Renewable Energy, Sustainability and the Environment 24
- Electronic, Optical and Magnetic Materials 22
Countries citing papers authored by Tong Bie
This map shows the geographic impact of Tong Bie'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 Tong Bie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Bie more than expected).
Fields of papers citing papers by Tong Bie
This network shows the impact of papers produced by Tong Bie. 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 Tong Bie. The network helps show where Tong Bie may publish in the future.
Co-authors
The 25 scholars most cited alongside Tong Bie, 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 | Over 21% Efficiency Stable 2D Perovskite Solar Cells Hit paper breakdown → | 2021 | 257 |
| 2 | 2022 | 22 | |
| 3 | 2021 | 17 | |
| 4 | 2024 | 11 | |
| 5 | 2023 | 11 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 1 |
About Tong Bie
Tong Bie is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (8 papers), Conducting polymers and applications (6 papers), Quantum Dots Synthesis And Properties (5 papers), Organic Light-Emitting Diodes Research (2 papers), Chalcogenide Semiconductor Thin Films (2 papers), 2D Materials and Applications (1 paper), Reinforcement Learning in Robotics (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Polymers and Plastics (162 citations), Electrical and Electronic Engineering (319 citations), Materials Chemistry (224 citations), Renewable Energy, Sustainability and the Environment (24 citations) and Electronic, Optical and Magnetic Materials (22 citations). Tong Bie has collaborated with scholars based in China and United States. Frequent co-authors include Ming Shao, Lvpeng Yang, Yu Yu, Yerun Gao, Nan Zheng, Feng He, Xinliang Zhang, Peiyu Ma, Wenxi Liang and Xin Jin. Their work appears in journals such as ACS Applied Energy Materials, Nanophotonics, ACS Nano, Advanced Materials and Chemical Engineering Journal.
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.