Jie Yang
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Transportation top 1%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Co-authors
- Yuanyuan QiaoSymeon PapavassiliouNirwan AnsariNei KatoHaifei LiQinghua ZhengBo DongJiajia Liu
- Topics
- Human Mobility and Location-Based Analysis (23 papers)Network Traffic and Congestion Control (21 papers)Caching and Content Delivery (20 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jie Yang
119 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Computer Networks and Communications 708
- Electrical and Electronic Engineering 393
- Transportation 325
- Artificial Intelligence 297
- Information Systems 296
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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 31 | |
| 10 | 36 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | FLAS: Traffic analysis of emerging applications on Mobile Internet using cloud computing tools | 3 |
| 14 | Characterizing smartphone traffic with MapReduce | 6 |
| 15 | 2 | |
| 16 | Characterizing internet backbone traffic based on deep packets inspection and deep flows inspection | 4 |
| 17 | 4 | |
| 18 | An empirical investigation into CDMA network traffic classification based on feature selection | 5 |
| 19 | An approach to prove confidentiality of cryptographic protocols with non-atomic keys | 2 |
| 20 | Feature analysis method of tongue image by chinese medical diagnosis based on image processing | 6 |
About Jie Yang
Jie Yang is a scholar working on Transportation, Computer Networks and Communications and Artificial Intelligence, having authored 132 papers that have together received 1.5k indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (23 papers), Network Traffic and Congestion Control (21 papers) and Caching and Content Delivery (20 papers). The work is most often cited by research in Transportation (325 citations), Computer Networks and Communications (708 citations) and Health Informatics (18 citations). Jie Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuanyuan Qiao, Symeon Papavassiliou, Nirwan Ansari, Nei Kato, Haifei Li, Qinghua Zheng, Bo Dong, Jiajia Liu, Gang Cheng and Qiujian Lv. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Sensors.
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.