Yalong Wang
- Biomedical Engineering top 1%
- Polymers and Plastics top 1%
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Materials Chemistry top 10%
- Topics
- Advanced Sensor and Energy Harvesting Materials (21 papers)Conducting polymers and applications (11 papers)Tactile and Sensory Interactions (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersAdvanced Functional Materials
- Partner nations
- ChinaUnited States
In The Last Decade
Yalong Wang
30 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Biomedical Engineering 1.9k
- Polymers and Plastics 1.1k
- Electrical and Electronic Engineering 670
- Cognitive Neuroscience 512
- Materials Chemistry 443
Countries citing papers authored by Yalong Wang
This map shows the geographic impact of Yalong 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 Yalong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yalong Wang more than expected).
Fields of papers citing papers by Yalong Wang
This network shows the impact of papers produced by Yalong 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 Yalong Wang. The network helps show where Yalong Wang may publish in the future.
Co-authorship network of co-authors of Yalong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yalong Wang. A scholar is included among the top collaborators of Yalong 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 Yalong Wang. Yalong 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 63 | |
| 11 | Decoupled Temperature–Pressure Sensing System for Deep Learning Assisted Human–Machine Interactionbreakdown → | 54 |
| 12 | Ultrasensitive electrospinning fibrous strain sensor with synergistic conductive network for human motion monitoring and human-computer interactionbreakdown → | 61 |
| 13 | 59 | |
| 14 | 22 | |
| 15 | 107 | |
| 16 | 190 | |
| 17 | 6 | |
| 18 | 77 | |
| 19 | 8 | |
| 20 | 5 |
About Yalong Wang
Yalong Wang is a scholar working on Polymers and Plastics, Biomedical Engineering and Cognitive Neuroscience, having authored 35 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (21 papers), Conducting polymers and applications (11 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Biomedical Engineering (1.9k citations) and Cognitive Neuroscience (512 citations). Yalong Wang has collaborated with scholars based in China and United States. Frequent co-authors include Chuntai Liu, Guoqiang Zheng, Kun Dai, Changyu Shen, Changyu Shen, Yuan Deng, Zeyu Li, Zhenqi Huang, Ji Hao and Pengcheng Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Advanced Functional 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.