Pingfan Xia

486 total citations
19 papers, 333 citations indexed

About

Pingfan Xia is a scholar working on Artificial Intelligence, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, Pingfan Xia has authored 19 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Economics and Econometrics and 3 papers in Sociology and Political Science. Recurrent topics in Pingfan Xia's work include Imbalanced Data Classification Techniques (4 papers), Energy, Environment, Economic Growth (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Pingfan Xia is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Energy, Environment, Economic Growth (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Pingfan Xia collaborates with scholars based in China, Singapore and Australia. Pingfan Xia's co-authors include Zhiwei Ni, Xuhui Zhu, Qizhi He, Xin Zhao, Xiaowei Ma, Yuping Shang, Umer Shahzad, Liping Ni, Xuhui Zhu and Xu Zhang and has published in prestigious journals such as IEEE Access, Environmental Science and Pollution Research and Engineering Applications of Artificial Intelligence.

In The Last Decade

Pingfan Xia

18 papers receiving 321 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pingfan Xia China 9 121 67 50 41 39 19 333
Joshua Letchford United States 9 37 0.3× 27 0.4× 41 0.8× 21 0.5× 9 0.2× 18 276
Liping Ni China 8 82 0.7× 65 1.0× 80 1.6× 34 0.8× 21 0.5× 21 359
Leon A. Petrosjan Russia 8 223 1.8× 55 0.8× 24 0.5× 20 0.5× 8 0.2× 16 455
Pierluigi Vellucci Italy 11 200 1.7× 104 1.6× 10 0.2× 50 1.2× 5 0.1× 43 383
André L. M. Vilela Brazil 12 137 1.1× 196 2.9× 11 0.2× 28 0.7× 2 0.1× 28 384
Farshid Mehrdoust Iran 13 113 0.9× 16 0.2× 17 0.3× 7 0.2× 38 1.0× 70 483

Countries citing papers authored by Pingfan Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pingfan Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Pingfan Xia. A scholar is included among the top collaborators of Pingfan Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pingfan Xia. Pingfan Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Luo, Shuang, Xuhui Zhu, Zhiwei Ni, Pingfan Xia, & Liping Ni. (2025). Methanol price prediction method based on multimodal fusion by using CNN-GRU and attention mechanism. International Journal of Bio-Inspired Computation. 25(1). 43–55.
2.
Zhu, Xuhui, et al.. (2024). A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices. Engineering Applications of Artificial Intelligence. 139. 109504–109504. 3 indexed citations
3.
Xia, Pingfan, et al.. (2024). A Novel Heuristic-Based Selective Ensemble Prediction Method for Digital Financial Fraud Risk. IEEE Transactions on Engineering Management. 71. 8002–8018. 8 indexed citations
4.
He, Qizhi, et al.. (2023). A Comparison Research on Dynamic Characteristics of Chinese and American Energy Prices. Journal of Global Information Management. 31(1). 1–16. 35 indexed citations
5.
Zhu, Xuhui, et al.. (2023). Coke price prediction approach based on dense GRU and opposition-based learning salp swarm algorithm. International Journal of Bio-Inspired Computation. 21(2). 106–106. 36 indexed citations
6.
Sun, Xin, et al.. (2022). Research on the spatiotemporal evolution and influencing factors of green economic efficiency in the Yangtze River Economic Belt. Environmental Science and Pollution Research. 29(45). 68257–68268. 20 indexed citations
7.
He, Qizhi, et al.. (2022). Coke price prediction approach based on dense GRU and opposition-based learning salp swarm algorithm. International Journal of Bio-Inspired Computation. 1(1). 1–1. 2 indexed citations
8.
Zhu, Xuhui, Pingfan Xia, Qizhi He, Zhiwei Ni, & Liping Ni. (2022). Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification. Computer Modeling in Engineering & Sciences. 135(1). 653–671. 50 indexed citations
9.
Chen, Qian, et al.. (2022). Differential privacy histogram publishing method based on dynamic sliding window. Frontiers of Computer Science. 17(4). 8 indexed citations
10.
Xia, Pingfan, et al.. (2022). A novel prediction model based on long short-term memory optimised by dynamic evolutionary glowworm swarm optimisation for money laundering risk. International Journal of Bio-Inspired Computation. 19(2). 77–77. 9 indexed citations
11.
Peng, Peng, Zhiwei Ni, Zhangjun Wu, Xuhui Zhu, & Pingfan Xia. (2022). Research on incentive strategy based on service quality in spatial crowdsourcing task allocation. Journal of Intelligent & Fuzzy Systems. 43(5). 5551–5566. 1 indexed citations
12.
Luo, Shuang, Zhiwei Ni, Xuhui Zhu, Pingfan Xia, & Hongsheng Wu. (2022). A Novel Methanol Futures Price Prediction Method Based on Multicycle CNN-GRU and Attention Mechanism. Arabian Journal for Science and Engineering. 48(2). 1487–1501. 12 indexed citations
13.
Zhao, Xin, Yuping Shang, Xiaowei Ma, Pingfan Xia, & Umer Shahzad. (2022). Does Carbon Trading Lead to Green Technology Innovation: Recent Evidence From Chinese Companies in Resource-Based Industries. IEEE Transactions on Engineering Management. 71. 2506–2523. 96 indexed citations
14.
Xia, Pingfan, Zhiwei Ni, Xuhui Zhu, Liping Ni, & Peng Peng. (2021). Selective Ensemble Approach Based on Reverse Binary Glowworm Swarm Optimization and Diversity Measure. Xitong kexue yu shuxue. 41(3). 730. 2 indexed citations
15.
Xia, Pingfan, et al.. (2021). A Novel Spatiotemporal Prediction Approach Based on Graph Convolution Neural Networks and Long Short-Term Memory for Money Laundering Fraud. Arabian Journal for Science and Engineering. 47(2). 1921–1937. 24 indexed citations
16.
Ni, Zhiwei, Pingfan Xia, Xuhui Zhu, Yufei Ding, & Liping Ni. (2020). A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure. Journal of Intelligent & Fuzzy Systems. 39(6). 8299–8313. 7 indexed citations
17.
18.
Zhu, Xuhui, Zhiwei Ni, Pingfan Xia, & Liping Ni. (2020). Hybrid Ensemble Pruning Using Coevolution Binary Glowworm Swarm Optimization and Reduce-Error. Complexity. 2020. 1–15. 5 indexed citations
19.
Xia, Pingfan, Zhiwei Ni, Xuhui Zhu, & Liping Ni. (2019). A Novel Key Influencing Factors Selection Approach of P2P Lending Investment Risk. Mathematical Problems in Engineering. 2019(1). 6 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joshua Letchford Breakdown of academic impact, for papers by Liping Ni Breakdown of academic impact, for papers by Leon A. Petrosjan Breakdown of academic impact, for papers by Pierluigi Vellucci Breakdown of academic impact, for papers by André L. M. Vilela Breakdown of academic impact, for papers by Farshid Mehrdoust
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