Hengyuan Wang
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Polymers and Plastics top 10%
- Materials Chemistry
- Artificial Intelligence
- Topics
- Perovskite Materials and Applications (10 papers)Photoreceptor and optogenetics research (6 papers)Advanced Memory and Neural Computing (6 papers)
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaEnergy & Environmental ScienceACS Applied Materials & Interfaces
- Partner nations
- ChinaJapanSouth Korea
In The Last Decade
Hengyuan Wang
27 papers receiving 370 citations
Peers
Comparison fields: 5 of 42
- Electrical and Electronic Engineering 338
- Cellular and Molecular Neuroscience 131
- Polymers and Plastics 103
- Materials Chemistry 92
- Artificial Intelligence 57
Countries citing papers authored by Hengyuan Wang
This map shows the geographic impact of Hengyuan 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 Hengyuan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hengyuan Wang more than expected).
Fields of papers citing papers by Hengyuan Wang
This network shows the impact of papers produced by Hengyuan 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 Hengyuan Wang. The network helps show where Hengyuan Wang may publish in the future.
Co-authorship network of co-authors of Hengyuan Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hengyuan Wang. A scholar is included among the top collaborators of Hengyuan Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hengyuan Wang. Hengyuan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 12 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 11 | |
| 15 | 7 | |
| 16 | 83 | |
| 17 | 17 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 1 |
About Hengyuan Wang
Hengyuan Wang is a scholar working on Polymers and Plastics, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 31 papers that have together received 388 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (10 papers), Photoreceptor and optogenetics research (6 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Polymers and Plastics (103 citations), Cellular and Molecular Neuroscience (131 citations) and Electrical and Electronic Engineering (338 citations). Hengyuan Wang has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Sai Jiang, Yi Shi, Yun Li, Qijing Wang, Jun Qian, Mengjiao Pei, Chengdong Yang, Xinran Wang, Qing Wan and Paddy K. L. Chan. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and ACS Applied Materials & Interfaces.
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.