Jie Lei
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
- Aerospace Engineering
- Co-authors
- Rishad ShafikOle‐Christoffer GranmoAlex YakovlevTamara L. BergMohit BansalGuodong XuWenyang DuanYinze Zuo
- Topics
- Advanced Battery Materials and Technologies (7 papers)Advancements in Battery Materials (6 papers)Advanced battery technologies research (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionElectrical and Electronic EngineeringArtificial Intelligence
- Partner nations
- ChinaUnited KingdomSpain
In The Last Decade
Jie Lei
34 papers receiving 361 citations
Peers
Comparison fields: 5 of 80
- Electrical and Electronic Engineering 158
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 58
- Computer Networks and Communications 39
- Aerospace Engineering 26
Countries citing papers authored by Jie Lei
This map shows the geographic impact of Jie Lei'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 Jie Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Lei more than expected).
Fields of papers citing papers by Jie Lei
This network shows the impact of papers produced by Jie Lei. 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 Jie Lei. The network helps show where Jie Lei may publish in the future.
Co-authorship network of co-authors of Jie Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Lei. A scholar is included among the top collaborators of Jie Lei 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 Jie Lei. Jie Lei 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 | 0 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 43 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 3 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 21 | |
| 18 | 47 | |
| 19 | 0 | |
| 20 | Research on the intelligent sensor for dissolved oxygen | 1 |
About Jie Lei
Jie Lei is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering and Ecological Modeling, having authored 46 papers that have together received 368 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (6 papers) and Advanced battery technologies research (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (58 citations), Electrical and Electronic Engineering (158 citations) and Artificial Intelligence (84 citations). Jie Lei has collaborated with scholars based in China, United Kingdom and Spain. Frequent co-authors include Rishad Shafik, Ole‐Christoffer Granmo, Alex Yakovlev, Tamara L. Berg, Mohit Bansal, Guodong Xu, Wenyang Duan, Yinze Zuo, Fahim Kawsar and Zheng Huang. Their work appears in journals such as Advanced Materials, Angewandte Chemie International Edition and Energy & Environmental Science.
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.