Lujie Zhong
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Changqiao XuGabriel‐Miro MunteanShujie YangMu WangHan XiaoXingyan ChenShijie JiaHongke Zhang
- Topics
- Caching and Content Delivery (31 papers)Image and Video Quality Assessment (21 papers)IoT and Edge/Fog Computing (16 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionSignal Processing
- Journals
- IEEE Journal on Selected Areas in CommunicationsIEEE Communications MagazineIEEE Transactions on Wireless Communications
- Partner nations
- ChinaIrelandUnited States
In The Last Decade
Lujie Zhong
67 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 840
- Electrical and Electronic Engineering 372
- Computer Vision and Pattern Recognition 274
- Artificial Intelligence 163
- Information Systems 150
Countries citing papers authored by Lujie Zhong
This map shows the geographic impact of Lujie Zhong'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 Lujie Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujie Zhong more than expected).
Fields of papers citing papers by Lujie Zhong
This network shows the impact of papers produced by Lujie Zhong. 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 Lujie Zhong. The network helps show where Lujie Zhong may publish in the future.
Co-authorship network of co-authors of Lujie Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Lujie Zhong. A scholar is included among the top collaborators of Lujie Zhong 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 Lujie Zhong. Lujie Zhong 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 | 1 | |
| 4 | 0 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 43 | |
| 10 | 3 | |
| 11 | 21 | |
| 12 | QoS Aware Multi-Convergence Node Coordination Mechanism Based on Cellular Automata in Vehicular Sensor Networks. | 1 |
| 13 | 33 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 14 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 56 |
About Lujie Zhong
Lujie Zhong is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Caching and Content Delivery (31 papers), Image and Video Quality Assessment (21 papers) and IoT and Edge/Fog Computing (16 papers). The work is most often cited by research in Computer Networks and Communications (840 citations), Computer Vision and Pattern Recognition (274 citations) and Signal Processing (104 citations). Lujie Zhong has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Changqiao Xu, Gabriel‐Miro Muntean, Shujie Yang, Mu Wang, Han Xiao, Xingyan Chen, Shijie Jia, Hongke Zhang, Hao Hao and Luigi Alfredo Grieco. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Communications Magazine and IEEE Transactions on Wireless Communications.
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.