Feng Lian
Impact in
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
- Aerospace Engineering top 10%
- Infrared Target Detection Methodologies
- Radar Systems and Signal Processing
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 36
- Gaussian Processes and Bayesian Inference 6
- Bayesian Methods and Mixture Models 4
-
- Distributed Sensor Networks and Detection Algorithms 13
- Co-authors
- Chongzhao HanJing LiuWeifeng LiuMahendra MallickXianghui YuanGuanghua ZhangJian SunHui Chen
- Journals
- Signal Processing (4 papers)IET Radar Sonar & Navigation (3 papers)Sensors (3 papers)Digital Signal Processing (2 papers)IEEE Transactions on Aerospace and Electronic Systems (2 papers)
- Partner nations
- ChinaGermanyBangladesh
In The Last Decade
Feng Lian
41 papers receiving 374 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 292
- Aerospace Engineering 164
- Computer Networks and Communications 85
- Signal Processing 37
- Oceanography 41
Countries citing papers authored by Feng Lian
This map shows the geographic impact of Feng Lian'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 Feng Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Lian more than expected).
Fields of papers citing papers by Feng Lian
This network shows the impact of papers produced by Feng Lian. 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 Feng Lian. The network helps show where Feng Lian may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Feng Lian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2018 | 8 | |
| 5 | 2015 | 27 | |
| 6 | 2015 | 1 | |
| 7 | CBMeMBer filters for nonstandard targets, I: Extended targets | 2014 | 19 |
| 8 | CBMeMBer filters for nonstandard targets, II: Unresolved targets | 2014 | 2 |
| 9 | An improved PHD filter based on variational Bayesian method for multi-target tracking | 2014 | 5 |
| 10 | 2014 | 0 | |
| 11 | 2014 | 2 | |
| 12 | 2013 | 9 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2011 | 27 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 25 | |
| 18 | An alternative derivation of a Bayes tracking filter based on finite mixture models | 2009 | 2 |
| 19 | 2009 | 3 | |
| 20 | 2009 | 1 |
About Feng Lian
Feng Lian is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Aerospace Engineering and Oceanography, having authored 44 papers that have together received 392 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (36 papers), Distributed Sensor Networks and Detection Algorithms (13 papers), Sparse and Compressive Sensing Techniques (7 papers), Fault Detection and Control Systems (7 papers), Gaussian Processes and Bayesian Inference (6 papers), Radar Systems and Signal Processing (6 papers), Underwater Acoustics Research (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Artificial Intelligence (292 citations), Aerospace Engineering (164 citations), Computer Networks and Communications (85 citations), Signal Processing (37 citations) and Oceanography (41 citations). Feng Lian has collaborated with scholars based in China, Germany and Bangladesh. Frequent co-authors include Chongzhao Han, Jing Liu, Weifeng Liu, Mahendra Mallick, Xianghui Yuan, Guanghua Zhang, Jing Liu, Jian Sun, Hui Chen and Hongyan Zhu. Their work appears in journals such as Signal Processing, IET Radar Sonar & Navigation, Sensors, Digital Signal Processing and IEEE Transactions on Aerospace and Electronic 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.