Yujun Chen
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Keqin LiJianhua JiangJoseph R. CavallaroKaipeng LiTom GoldsteinChristoph StuderLimin WangXianqiu Meng
- Topics
- Complex Network Analysis Techniques (6 papers)Neural Networks and Reservoir Computing (5 papers)Optical Network Technologies (5 papers)
- Cited by
- Artificial IntelligenceComputer Networks and CommunicationsStatistical and Nonlinear Physics
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yujun Chen
48 papers receiving 540 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 190
- Electrical and Electronic Engineering 166
- Computer Networks and Communications 124
- Aerospace Engineering 77
- Computer Vision and Pattern Recognition 72
Countries citing papers authored by Yujun Chen
This map shows the geographic impact of Yujun Chen'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 Yujun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujun Chen more than expected).
Fields of papers citing papers by Yujun Chen
This network shows the impact of papers produced by Yujun Chen. 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 Yujun Chen. The network helps show where Yujun Chen may publish in the future.
Co-authorship network of co-authors of Yujun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Yujun Chen. A scholar is included among the top collaborators of Yujun Chen 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 Yujun Chen. Yujun Chen 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 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 19 | |
| 15 | 12 | |
| 16 | Design and performance test of aerobic fermentation rotary reactorpilot plant for biogas residue | 2 |
| 17 | 1 | |
| 18 | Evaluation on service value of coastal wetland ecosystem in Dongzhai harbor mangrove nature reserve | 2 |
| 19 | 22 | |
| 20 | Researches on typhoon damage to mangroves and preventive measures. | 6 |
About Yujun Chen
Yujun Chen is a scholar working on Acoustics and Ultrasonics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 58 papers that have together received 551 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Neural Networks and Reservoir Computing (5 papers) and Optical Network Technologies (5 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Computer Networks and Communications (124 citations) and Statistical and Nonlinear Physics (58 citations). Yujun Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Keqin Li, Jianhua Jiang, Joseph R. Cavallaro, Kaipeng Li, Tom Goldstein, Christoph Studer, Limin Wang, Xianqiu Meng, Shiming Chen and Milan Parmar. Their work appears in journals such as Optics Express, Energy and Information Sciences.
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.