Ben Yang
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Transition Metal Oxide Nanomaterials
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 15
- Perovskite Materials and Applications 7
- Advancements in Battery Materials 5
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- Conducting polymers and applications 6
- Transition Metal Oxide Nanomaterials 6
- Co-authors
- Jia Huang (19 shared papers)Shilei Dai (11 shared papers)Dapeng Liu (7 shared papers)Dandan Hao (11 shared papers)Junyao Zhang (12 shared papers)Yan Wang (9 shared papers)Yingli Chu (1 shared paper)Kai Wang (1 shared paper)
- Journals
- Small (3 papers)Advanced Functional Materials (2 papers)Chemical Communications (2 papers)Science China Materials (2 papers)Nano Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ben Yang
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 60
- Polymers and Plastics 413
- Cellular and Molecular Neuroscience 493
- Electrical and Electronic Engineering 1.2k
- Bioengineering 41
- Artificial Intelligence 205
Countries citing papers authored by Ben Yang
This map shows the geographic impact of Ben 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 Ben Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Yang more than expected).
Fields of papers citing papers by Ben Yang
This network shows the impact of papers produced by Ben 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 Ben Yang. The network helps show where Ben Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 273 | |
| 2 | 2020 | 193 | |
| 3 | 2019 | 105 | |
| 4 | 2022 | 89 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 59 | |
| 7 | 2021 | 54 | |
| 8 | 2022 | 51 | |
| 9 | 2021 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2022 | 37 | |
| 12 | 2023 | 35 | |
| 13 | 2021 | 33 | |
| 14 | 2022 | 32 | |
| 15 | 2021 | 32 | |
| 16 | 2022 | 28 | |
| 17 | 2021 | 26 | |
| 18 | 2023 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2022 | 17 |
About Ben Yang
Ben Yang is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Cellular and Molecular Neuroscience and Automotive Engineering, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Photoreceptor and optogenetics research (8 papers), Perovskite Materials and Applications (7 papers), Conducting polymers and applications (6 papers), Transition Metal Oxide Nanomaterials (6 papers), Advancements in Battery Materials (5 papers), Covalent Organic Framework Applications (4 papers) and Neural Networks and Reservoir Computing (3 papers). The work is most often cited by research in Polymers and Plastics (413 citations), Cellular and Molecular Neuroscience (493 citations), Electrical and Electronic Engineering (1.2k citations), Bioengineering (41 citations) and Artificial Intelligence (205 citations). Ben Yang has collaborated with scholars based in China and United States. Frequent co-authors include Jia Huang, Shilei Dai, Dapeng Liu, Dandan Hao, Junyao Zhang, Yan Wang, Yingli Chu, Kai Wang, Xiaohan Wu and Pu Guo. Their work appears in journals such as Small, Advanced Functional Materials, Chemical Communications, Science China Materials and Nano Research.
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.