Junliang Yang
Impact in
- Polymers and Plastics top 0.1%
- Conducting polymers and applications
-
- Perovskite Materials and Applications
- Advanced Memory and Neural Computing
- Organic Electronics and Photovoltaics
- Chalcogenide Semiconductor Thin Films
Papers in
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- Conducting polymers and applications 141
-
- Perovskite Materials and Applications 164
- Organic Electronics and Photovoltaics 91
- Advanced Memory and Neural Computing 54
- Chalcogenide Semiconductor Thin Films 51
- Thin-Film Transistor Technologies 32
Junliang Yang
328 papers receiving 12.4k citations
Peers
Comparison fields: 5 of 121
- Polymers and Plastics 4.6k
- Electrical and Electronic Engineering 10.8k
- Materials Chemistry 5.0k
- Cellular and Molecular Neuroscience 1.5k
- Biomedical Engineering 2.3k
Countries citing papers authored by Junliang Yang
This map shows the geographic impact of Junliang Yang'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 Junliang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junliang Yang more than expected).
Fields of papers citing papers by Junliang Yang
This network shows the impact of papers produced by Junliang Yang. 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 Junliang Yang. The network helps show where Junliang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junliang Yang, 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 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 17 | |
| 7 | 2023 | 46 | |
| 8 | 2023 | 20 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 51 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 76 | |
| 16 | 2019 | 26 | |
| 17 | 2019 | 30 | |
| 18 | 2019 | 28 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 109 |
About Junliang Yang
Junliang Yang is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 349 papers that have together received 12.7k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (164 papers), Conducting polymers and applications (141 papers), Organic Electronics and Photovoltaics (91 papers), Advanced Memory and Neural Computing (54 papers), Quantum Dots Synthesis And Properties (54 papers), Chalcogenide Semiconductor Thin Films (51 papers), Advanced Sensor and Energy Harvesting Materials (47 papers) and Thin-Film Transistor Technologies (32 papers). The work is most often cited by research in Polymers and Plastics (4.6k citations), Electrical and Electronic Engineering (10.8k citations), Materials Chemistry (5.0k citations), Cellular and Molecular Neuroscience (1.5k citations) and Biomedical Engineering (2.3k citations). Junliang Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongli Gao, Jia Sun, Biao Liu, Jun He, Donghang Yan, Jie Jiang, Chuan Qian, Chujun Zhang, Han Huang and Meng‐Qiu Cai. Their work appears in journals such as Organic Electronics, Applied Physics Letters, Journal of Physics D Applied Physics, Applied Physics A and The Journal of Physical Chemistry Letters.
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.