Pingfan Xia
Impact in
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
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- Imbalanced Data Classification Techniques 4
- Metaheuristic Optimization Algorithms Research 3
- Machine Learning and ELM 3
- Neural Networks and Applications 2
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- Energy, Environment, Economic Growth 3
- Co-authors
- Zhiwei Ni (14 shared papers)Xuhui Zhu (11 shared papers)Qizhi He (4 shared papers)Xin Zhao (3 shared papers)Xiaowei Ma (1 shared paper)Yuping Shang (1 shared paper)Umer Shahzad (1 shared paper)Liping Ni (6 shared papers)
In The Last Decade
Pingfan Xia
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 76
- Modeling and Simulation 39
- Statistical and Nonlinear Physics 67
- Economics and Econometrics 121
- Fuel Technology 2
- Renewable Energy, Sustainability and the Environment 41
Countries citing papers authored by Pingfan Xia
This map shows the geographic impact of Pingfan Xia'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 Pingfan Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingfan Xia more than expected).
Fields of papers citing papers by Pingfan Xia
This network shows the impact of papers produced by Pingfan Xia. 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 Pingfan Xia. The network helps show where Pingfan Xia may publish in the future.
Co-authors
The 23 scholars most cited alongside Pingfan Xia, 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 | 2022 | 96 | |
| 2 | 2022 | 50 | |
| 3 | 2023 | 36 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 |
About Pingfan Xia
Pingfan Xia is a scholar working on Artificial Intelligence, Economics and Econometrics, Sociology and Political Science, Fuel Technology and Electrical and Electronic Engineering, having authored 19 papers that have together received 333 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (4 papers), Coal and Coke Industries Research (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Energy Load and Power Forecasting (3 papers), Energy, Environment, Economic Growth (3 papers), Machine Learning and ELM (3 papers), Neural Networks and Applications (2 papers) and Financial Distress and Bankruptcy Prediction (2 papers). The work is most often cited by research in Modeling and Simulation (39 citations), Statistical and Nonlinear Physics (67 citations), Economics and Econometrics (121 citations), Fuel Technology (2 citations) and Renewable Energy, Sustainability and the Environment (41 citations). Pingfan Xia has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Zhiwei Ni, Xuhui Zhu, Qizhi He, Xin Zhao, Xiaowei Ma, Yuping Shang, Umer Shahzad, Liping Ni, Xuhui Zhu and Chenyu Zhao. Their work appears in journals such as International Journal of Bio-Inspired Computation, Journal of Intelligent & Fuzzy Systems, Arabian Journal for Science and Engineering, IEEE Transactions on Engineering Management and Computer Modeling in Engineering & Sciences.
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.