Jie Yang
- Electrical and Electronic Engineering top 1%
- Computer Networks and Communications top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Co-authors
- Yingying ChenYan WangSheng TanHongbo LiuJian LiuMarco GruteserRichard P. MartinLinghan Zhang
- Topics
- Indoor and Outdoor Localization Technologies (57 papers)Speech and Audio Processing (23 papers)Underwater Vehicles and Communication Systems (19 papers)
- Journals
- IEEE Transactions on Vehicular TechnologyIEEE Internet of Things JournalIEEE/ACM Transactions on Networking
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Jie Yang
111 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Electrical and Electronic Engineering 3.2k
- Computer Networks and Communications 1.6k
- Signal Processing 1.4k
- Computer Vision and Pattern Recognition 1.1k
- Biomedical Engineering 879
Countries citing papers authored by Jie Yang
This map shows the geographic impact of Jie 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 Jie Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Yang more than expected).
Fields of papers citing papers by Jie Yang
This network shows the impact of papers produced by Jie 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 Jie Yang. The network helps show where Jie Yang may publish in the future.
Co-authorship network of co-authors of Jie Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Yang. A scholar is included among the top collaborators of Jie Yang 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 Yang. Jie Yang 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 | 5 | |
| 4 | 87 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 43 | |
| 8 | 20 | |
| 9 | 28 | |
| 10 | 174 | |
| 11 | 71 | |
| 12 | A Simulation Model for Performance Analysis of Electric Autonomous Taxi Systems | 1 |
| 13 | 133 | |
| 14 | 93 | |
| 15 | 59 | |
| 16 | 9 | |
| 17 | 41 | |
| 18 | 12 | |
| 19 | 142 | |
| 20 | 1 |
About Jie Yang
Jie Yang is a scholar working on Signal Processing, Computer Networks and Communications and Transportation, having authored 113 papers that have together received 5.2k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (57 papers), Speech and Audio Processing (23 papers) and Underwater Vehicles and Communication Systems (19 papers). The work is most often cited by research in Signal Processing (1.4k citations), Computer Networks and Communications (1.6k citations) and Human-Computer Interaction (362 citations). Jie Yang has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Yingying Chen, Yan Wang, Sheng Tan, Hongbo Liu, Jian Liu, Marco Gruteser, Richard P. Martin, Linghan Zhang, Wade Trappe and Yanzhi Ren. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.
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.