Jiewei Chen
- Electrical and Electronic Engineering top 2%
- Biomedical Engineering top 5%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry top 5%
- Polymers and Plastics top 2%
- Co-authors
- Yang ChaiZheng ZhouJinfeng KangJingli WangFeichi ZhouNing ZhangZiyuan LinH.‐S. Philip Wong
- Topics
- Advanced Memory and Neural Computing (12 papers)2D Materials and Applications (9 papers)Graphene research and applications (5 papers)
- Cited by
- Polymers and PlasticsCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- Hong KongChinaSouth Korea
In The Last Decade
Jiewei Chen
25 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 2.3k
- Biomedical Engineering 784
- Cellular and Molecular Neuroscience 774
- Materials Chemistry 743
- Polymers and Plastics 631
Countries citing papers authored by Jiewei Chen
This map shows the geographic impact of Jiewei Chen'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 Jiewei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiewei Chen more than expected).
Fields of papers citing papers by Jiewei Chen
This network shows the impact of papers produced by Jiewei Chen. 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 Jiewei Chen. The network helps show where Jiewei Chen may publish in the future.
Co-authorship network of co-authors of Jiewei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiewei Chen. A scholar is included among the top collaborators of Jiewei Chen 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 Jiewei Chen. Jiewei Chen 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 | 13 | |
| 5 | Optoelectronic graded neurons for bioinspired in-sensor motion perceptionbreakdown → | 273 |
| 6 | 37 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | Bioinspired in-sensor visual adaptation for accurate perceptionbreakdown → | 450 |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 61 | |
| 13 | 87 | |
| 14 | 18 | |
| 15 | 50 | |
| 16 | 10 | |
| 17 | 69 | |
| 18 | Optoelectronic resistive random access memory for neuromorphic vision sensorsbreakdown → | 1079 |
| 19 | 85 | |
| 20 | 58 |
About Jiewei Chen
Jiewei Chen is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Materials Chemistry, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), 2D Materials and Applications (9 papers) and Graphene research and applications (5 papers). The work is most often cited by research in Polymers and Plastics (631 citations), Cellular and Molecular Neuroscience (774 citations) and Electrical and Electronic Engineering (2.3k citations). Jiewei Chen has collaborated with scholars based in Hong Kong, China and South Korea. Frequent co-authors include Yang Chai, Zheng Zhou, Jinfeng Kang, Jingli Wang, Feichi Zhou, Ning Zhang, Ziyuan Lin, H.‐S. Philip Wong, Shimeng Yu and Tianqing Wan. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.