Xiaochen Lai
Impact in
-
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Bluetooth and Wireless Communication Technologies
-
- Context-Aware Activity Recognition Systems
Papers in
-
- Neural Networks and Applications 9
- Advanced Clustering Algorithms Research 4
- Machine Learning in Healthcare 3
-
- Data Mining Algorithms and Applications 6
- Advanced Decision-Making Techniques 4
- Co-authors
- Liyong Zhang (17 shared papers)Wei Wang (2 shared papers)Xin Wei (1 shared paper)Wei Lu (8 shared papers)Chongquan Zhong (1 shared paper)Xin Liu (1 shared paper)Xin Liu (2 shared papers)He Jiang (3 shared papers)
- Journals
- Applied Intelligence (2 papers)Applied Soft Computing (2 papers)Artificial Intelligence Review (1 paper)Neurocomputing (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaochen Lai
30 papers receiving 327 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 112
- Computer Vision and Pattern Recognition 63
- Biomedical Engineering 116
- Artificial Intelligence 90
- Statistics and Probability 18
Countries citing papers authored by Xiaochen Lai
This map shows the geographic impact of Xiaochen Lai'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 Xiaochen Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaochen Lai more than expected).
Fields of papers citing papers by Xiaochen Lai
This network shows the impact of papers produced by Xiaochen Lai. 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 Xiaochen Lai. The network helps show where Xiaochen Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaochen Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2019 | 48 | |
| 3 | 2020 | 20 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 13 | |
| 6 | 2022 | 7 | |
| 7 | 2012 | 6 | |
| 8 | 2014 | 6 | |
| 9 | 2014 | 6 | |
| 10 | 2023 | 4 | |
| 11 | 2010 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2015 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2019 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2015 | 2 | |
| 20 | 2024 | 1 |
About Xiaochen Lai
Xiaochen Lai is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 37 papers that have together received 337 indexed citations. Recurring topics across this work include Neural Networks and Applications (9 papers), Face and Expression Recognition (6 papers), Time Series Analysis and Forecasting (6 papers), Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (5 papers), Advanced Clustering Algorithms Research (4 papers), Advanced Decision-Making Techniques (4 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Computer Networks and Communications (112 citations), Computer Vision and Pattern Recognition (63 citations), Biomedical Engineering (116 citations), Artificial Intelligence (90 citations) and Statistics and Probability (18 citations). Xiaochen Lai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Liyong Zhang, Wei Wang, Xin Wei, Wei Lu, Chongquan Zhong, Xin Liu, Xin Liu, He Jiang, Zhilei Ren and Yong Piao. Their work appears in journals such as Applied Intelligence, Applied Soft Computing, Artificial Intelligence Review, Neurocomputing and Knowledge-Based Systems.
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.