Ce Li
Impact in
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- Grey System Theory Applications
- Stock Market Forecasting Methods
- Complementary and Manual Therapy top 10%
Papers in
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- Advanced Graph Neural Networks 3
- Machine Learning and ELM 2
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- Complex Network Analysis Techniques 3
- Co-authors
- Lian Li (2 shared papers)Yang Zhang (1 shared paper)Fan Zhou (4 shared papers)Zhenyu He (1 shared paper)Yi Yang (1 shared paper)Goce Trajcevski (3 shared papers)Xovee Xu (2 shared papers)Shuwei Zhao (1 shared paper)
- Journals
- Head & Face Medicine (1 paper)Knowledge-Based Systems (1 paper)International Journal of Intelligent Systems (1 paper)Applied Energy (1 paper)Energy Systems (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ce Li
7 papers receiving 428 citations
Ce Li's Hit Papers
Peers
Comparison fields: 5 of 74
- Management Science and Operations Research 102
- Complementary and Manual Therapy 15
- Electrical and Electronic Engineering 259
- Artificial Intelligence 123
- Statistical and Nonlinear Physics 46
Countries citing papers authored by Ce Li
This map shows the geographic impact of Ce 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 Ce Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ce Li more than expected).
Fields of papers citing papers by Ce Li
This network shows the impact of papers produced by Ce 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 Ce Li. The network helps show where Ce Li may publish in the future.
Co-authors
The 15 scholars most cited alongside Ce 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
| # | Work | ||
|---|---|---|---|
| 1 | Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods Hit paper breakdown → | 2017 | 311 |
| 2 | 2021 | 57 | |
| 3 | 2023 | 23 | |
| 4 | 2016 | 20 | |
| 5 | 2021 | 13 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2018 | 0 |
About Ce Li
Ce Li is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Cognitive Neuroscience, Electrical and Electronic Engineering and Molecular Biology, having authored 8 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (3 papers), Complex Network Analysis Techniques (3 papers), Energy Load and Power Forecasting (2 papers), Machine Learning and ELM (2 papers), Color Science and Applications (1 paper), Image Enhancement Techniques (1 paper), Misinformation and Its Impacts (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Management Science and Operations Research (102 citations), Complementary and Manual Therapy (15 citations), Electrical and Electronic Engineering (259 citations), Artificial Intelligence (123 citations) and Statistical and Nonlinear Physics (46 citations). Ce Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lian Li, Yang Zhang, Fan Zhou, Zhenyu He, Yi Yang, Yang Zhang, Goce Trajcevski, Xovee Xu, Shuwei Zhao and Guangjie Bao. Their work appears in journals such as Head & Face Medicine, Knowledge-Based Systems, International Journal of Intelligent Systems, Applied Energy and Energy 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.