Yijing Lin
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Co-authors
- Dusit NiyatoHongyang DuJiawen KangZhipeng GaoSteven P. ReissZehui XiongQian WangDong In Kim
- Topics
- Blockchain Technology Applications and Security (9 papers)IoT and Edge/Fog Computing (8 papers)Privacy-Preserving Technologies in Data (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications Surveys & TutorialsIEEE Communications Magazine
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yijing Lin
20 papers receiving 370 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Information Systems 149
- Computer Networks and Communications 148
- Artificial Intelligence 136
- Electrical and Electronic Engineering 52
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Yijing Lin
This map shows the geographic impact of Yijing Lin'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 Yijing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yijing Lin more than expected).
Fields of papers citing papers by Yijing Lin
This network shows the impact of papers produced by Yijing Lin. 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 Yijing Lin. The network helps show where Yijing Lin may publish in the future.
Co-authorship network of co-authors of Yijing Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yijing Lin. A scholar is included among the top collaborators of Yijing Lin 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 Yijing Lin. Yijing Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimizationbreakdown → | 111 |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 0 | |
| 10 | 9 | |
| 11 | 2 | |
| 12 | 19 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | 27 | |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 38 |
About Yijing Lin
Yijing Lin is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 26 papers that have together received 380 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (8 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Health Informatics (9 citations), Information Systems (149 citations) and Computer Networks and Communications (148 citations). Yijing Lin has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Dusit Niyato, Hongyang Du, Jiawen Kang, Zhipeng Gao, Steven P. Reiss, Zehui Xiong, Qian Wang, Dong In Kim, Bo Ai and Jiangtian Nie. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and IEEE Communications Magazine.
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.