Hongli Niu
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- Stock Market Forecasting Methods 11
- Economics and Econometrics top 2%
- Complex Systems and Time Series Analysis 25
- Market Dynamics and Volatility 18
- Energy, Environment, Economic Growth 6
- Finance top 5%
- Financial Risk and Volatility Modeling 8
- General Energy top 10%
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- Chaos control and synchronization 13
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- Energy Load and Power Forecasting 8
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- Time Series Analysis and Forecasting 4
- Co-authors
- Jun WangKunliang XuWeiqing WangFang WenJie WangZiang HuCheng LiuChunping Wang
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)Energy (3 papers)Resources Policy (2 papers)
- Partner nations
- ChinaNetherlandsGermany
In The Last Decade
Hongli Niu
38 papers receiving 833 citations
Peers
Comparison fields: 5 of 105
- Management Science and Operations Research 305
- Economics and Econometrics 532
- Finance 144
- General Energy 12
- Statistical and Nonlinear Physics 147
Countries citing papers authored by Hongli Niu
This map shows the geographic impact of Hongli Niu'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 Hongli Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongli Niu more than expected).
Fields of papers citing papers by Hongli Niu
This network shows the impact of papers produced by Hongli Niu. 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 Hongli Niu. The network helps show where Hongli Niu may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Hongli Niu, 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 | 2024 | 3 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 56 | |
| 11 | 2020 | 22 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 17 | |
| 15 | 2016 | 75 | |
| 16 | 2016 | 6 | |
| 17 | 2016 | 26 | |
| 18 | 2015 | 1 | |
| 19 | 2014 | 20 | |
| 20 | 2013 | 20 |
About Hongli Niu
Hongli Niu is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics, Finance, General Energy and Management Science and Operations Research, having authored 40 papers that have together received 852 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (25 papers), Market Dynamics and Volatility (18 papers), Chaos control and synchronization (13 papers), Stock Market Forecasting Methods (11 papers), Financial Risk and Volatility Modeling (8 papers), Energy Load and Power Forecasting (8 papers), Energy, Environment, Economic Growth (6 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Management Science and Operations Research (305 citations), Economics and Econometrics (532 citations), Finance (144 citations), General Energy (12 citations) and Statistical and Nonlinear Physics (147 citations). Hongli Niu has collaborated with scholars based in China, Netherlands and Germany. Frequent co-authors include Jun Wang, Kunliang Xu, Weiqing Wang, Jun Wang, Fang Wen, Jie Wang, Jun Wang, Ziang Hu, Cheng Liu and Chunping Wang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Energy, Resources Policy, Soft Computing and Mathematical Biosciences & Engineering.
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.