Chen Tian-Lun
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Changsong ZhouMin LinAlbert Y. S. LamDavid J. HillYue SongXiaowei ZhaoXin ZhengGuiqing Zhang
- Topics
- Neural Networks and Applications (21 papers)Chaos control and synchronization (15 papers)Neural dynamics and brain function (10 papers)
In The Last Decade
Chen Tian-Lun
51 papers receiving 377 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 177
- Artificial Intelligence 132
- Computer Networks and Communications 84
- Electrical and Electronic Engineering 79
- Computer Vision and Pattern Recognition 64
Countries citing papers authored by Chen Tian-Lun
This map shows the geographic impact of Chen Tian-Lun'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 Chen Tian-Lun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Tian-Lun more than expected).
Fields of papers citing papers by Chen Tian-Lun
This network shows the impact of papers produced by Chen Tian-Lun. 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 Chen Tian-Lun. The network helps show where Chen Tian-Lun may publish in the future.
Co-authorship network of co-authors of Chen Tian-Lun
This figure shows the co-authorship network connecting the top 25 collaborators of Chen Tian-Lun. A scholar is included among the top collaborators of Chen Tian-Lun 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 Chen Tian-Lun. Chen Tian-Lun 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 | 3 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | SCN: An Efficient Wireless Sensor Network Based Communication Scheme for Stacked Containers | 1 |
| 6 | Location Technology-Based Mobile Shopping Service System | 1 |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 36 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 74 | |
| 16 | PREDICTION OF NOISY TIME SERIES USING CHAOTIC NEURAL NETWORK | 4 |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 4 |
About Chen Tian-Lun
Chen Tian-Lun is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Control and Systems Engineering, having authored 55 papers that have together received 398 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Chaos control and synchronization (15 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (177 citations), Artificial Intelligence (132 citations) and Computer Networks and Communications (84 citations). Chen Tian-Lun has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Changsong Zhou, Min Lin, Albert Y. S. Lam, David J. Hill, Yue Song, Xiaowei Zhao, Xin Zheng, Guiqing Zhang, Keping Li and Lin Wang. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid and Physics Letters A.
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.