Cen Li
Impact in
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
-
- Advanced battery technologies research 4
-
- Bayesian Methods and Mixture Models 4
- Co-authors
- Gautam Biswas (6 shared papers)Aria Abubakar (6 shared papers)Haibin Di (5 shared papers)Jiao Kong (7 shared papers)Zhongxiao Jia (2 shared papers)Liping Chang (7 shared papers)Meijun Wang (5 shared papers)Lunjing Yan (4 shared papers)
- Journals
- Journal of Energy Storage (4 papers)IEEE Wireless Communications Letters (2 papers)Food Chemistry X (2 papers)Analytica Chimica Acta (2 papers)The Leading Edge (2 papers)
- Partner nations
- ChinaUnited StatesBritish Virgin Islands
In The Last Decade
Cen Li
71 papers receiving 701 citations
Peers
Comparison fields: 5 of 137
- Computer Science Applications 41
- Computational Mathematics 4
- Artificial Intelligence 180
- Signal Processing 47
- Geophysics 56
Countries citing papers authored by Cen Li
This map shows the geographic impact of Cen Li'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 Cen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Li more than expected).
Fields of papers citing papers by Cen Li
This network shows the impact of papers produced by Cen Li. 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 Cen Li. The network helps show where Cen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Cen Li, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 59 | |
| 2 | 2022 | 47 | |
| 3 | A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models | 2000 | 46 |
| 4 | 2023 | 34 | |
| 5 | 2022 | 33 | |
| 6 | 2021 | 31 | |
| 7 | 2024 | 27 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2024 | 21 | |
| 11 | 2006 | 21 | |
| 12 | 2023 | 20 | |
| 13 | 2012 | 17 | |
| 14 | 2014 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2002 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2002 | 10 |
About Cen Li
Cen Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Electronic, Optical and Magnetic Materials and Mechanics of Materials, having authored 77 papers that have together received 729 indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (8 papers), Conducting polymers and applications (6 papers), Seismic Imaging and Inversion Techniques (6 papers), Drilling and Well Engineering (5 papers), Railway Engineering and Dynamics (5 papers), Data Management and Algorithms (4 papers), Advanced battery technologies research (4 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Computer Science Applications (41 citations), Computational Mathematics (4 citations), Artificial Intelligence (180 citations), Signal Processing (47 citations) and Geophysics (56 citations). Cen Li has collaborated with scholars based in China, United States and British Virgin Islands. Frequent co-authors include Gautam Biswas, Aria Abubakar, Haibin Di, Jiao Kong, Zhongxiao Jia, Liping Chang, Meijun Wang, Lunjing Yan, Shi Jin and Stewart W. Smith. Their work appears in journals such as Journal of Energy Storage, IEEE Wireless Communications Letters, Food Chemistry X, Analytica Chimica Acta and The Leading Edge.
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.