Xiaofei Liu

794 total citations · 1 hit paper
18 papers, 443 citations indexed

About

Xiaofei Liu is a scholar working on Artificial Intelligence, Information Systems and Ocean Engineering. According to data from OpenAlex, Xiaofei Liu has authored 18 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Ocean Engineering. Recurrent topics in Xiaofei Liu's work include Advanced Computational Techniques and Applications (4 papers), Coal Properties and Utilization (3 papers) and Neural Networks and Reservoir Computing (2 papers). Xiaofei Liu is often cited by papers focused on Advanced Computational Techniques and Applications (4 papers), Coal Properties and Utilization (3 papers) and Neural Networks and Reservoir Computing (2 papers). Xiaofei Liu collaborates with scholars based in China, United States and Australia. Xiaofei Liu's co-authors include Chang Zhou, Yuqiong Liu, Jun Gao, Jun Gao, Junshuai Song, Jinze Bai, Nigel J. Cook, Shunda Yuan, Xudong Wang and Jingwen Mao and has published in prestigious journals such as Process Safety and Environmental Protection, Journal of environmental chemical engineering and Measurement.

In The Last Decade

Xiaofei Liu

15 papers receiving 417 citations

Hit Papers

Multifractal and b-value nonlinear time-varying character... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multifractal and b-value nonlinear time-varying characteristics of acoustic emission for coal with different impact tendency
    2025 17 citations Shan Yin, Enyuan Wang et al. Measurement profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaofei Liu China 6 286 192 86 79 67 18 443
Xingzhong Du China 11 181 0.6× 198 1.0× 16 0.2× 29 0.4× 172 2.6× 26 409
Sanjukta Bhowmick United States 9 146 0.5× 53 0.3× 120 1.4× 200 2.5× 73 1.1× 49 469
Yanping Chen China 14 467 1.6× 79 0.4× 20 0.2× 16 0.2× 61 0.9× 70 574
Yaming Yang China 10 265 0.9× 103 0.5× 11 0.1× 16 0.2× 90 1.3× 30 333
Gábor Bella Italy 11 279 1.0× 76 0.4× 11 0.1× 13 0.2× 69 1.0× 38 431
Martin Franz United States 18 739 2.6× 163 0.8× 26 0.3× 104 1.3× 144 2.1× 56 975
Samantha Hansen United States 4 244 0.9× 123 0.6× 8 0.1× 12 0.2× 54 0.8× 6 392
Sheng Zhou China 10 273 1.0× 137 0.7× 3 0.0× 142 1.8× 42 0.6× 24 362
Lirong Qiu China 12 196 0.7× 111 0.6× 6 0.1× 15 0.2× 72 1.1× 52 319
Pranav Nerurkar India 10 117 0.4× 206 1.1× 7 0.1× 26 0.3× 37 0.6× 20 359

Countries citing papers authored by Xiaofei Liu

Since Specialization
Citations

This map shows the geographic impact of Xiaofei Liu'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 Xiaofei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Liu more than expected).

Fields of papers citing papers by Xiaofei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaofei Liu. 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 Xiaofei Liu. The network helps show where Xiaofei Liu may publish in the future.

Co-authorship network of co-authors of Xiaofei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Liu. A scholar is included among the top collaborators of Xiaofei Liu 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 Xiaofei Liu. Xiaofei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Enyuan, et al.. (2025). Unveiling the transition phase in coal low-temperature oxidation via surface potential monitoring. Journal of environmental chemical engineering. 13(3). 116445–116445. 1 indexed citations
2.
Liu, Xiaofei, et al.. (2025). Challenges and Opportunities in Global Supply Chain Management: A Literature Review. Advances in Economics Management and Political Sciences. 213(1). 144–153.
3.
Wang, Enyuan, Xiaofei Liu, Zhonghui Li, et al.. (2025). Moisture-induced self-heating in low-rank coal: Experimental investigation and 1-D modeling study. Process Safety and Environmental Protection. 197. 106753–106753. 3 indexed citations
4.
Yin, Shan, Enyuan Wang, Zhonghui Li, et al.. (2025). Multifractal and b-value nonlinear time-varying characteristics of acoustic emission for coal with different impact tendency. Measurement. 248. 116896–116896. 17 indexed citations breakdown →
5.
Zhang, Guorui, Enyuan Wang, Xiaofei Liu, & Zhonghui Li. (2024). Research on risk assessment of coal and gas outburst during continuous excavation cycle of coal mine with dynamic probabilistic inference. Process Safety and Environmental Protection. 190. 405–419. 12 indexed citations
6.
Zhang, Guangwei, et al.. (2023). Network information data processing method based on artificial intelligence. Procedia Computer Science. 228. 568–573. 1 indexed citations
7.
Liu, Xiaofei, et al.. (2023). AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn. arXiv (Cornell University). 5350–5359. 3 indexed citations
8.
Liu, Xiaofei. (2022). Personalised resource recommendation method for collaborative tagging system based on machine learning. International Journal of Industrial and Systems Engineering. 42(1). 1–1. 2 indexed citations
9.
Liu, Xiaofei, Fei Zhu, Yuchen Fu, & Quan Liu. (2020). A resource retrieval method of multimedia recommendation system based on deep learning. International Journal of Autonomous and Adaptive Communications Systems. 13(4). 400–400. 2 indexed citations
10.
Mi, Sichen, et al.. (2019). Faithful Transmission of Single-Photon Qubits Using Error-Rejection Coding. IEEE photonics journal. 11(1). 1–7. 4 indexed citations
11.
Cao, Cong, et al.. (2019). Implementation of a two-dimensional quantum walk using cross-Kerr nonlinearity. OSA Continuum. 2(5). 1667–1667. 4 indexed citations
12.
Zhou, Chang, et al.. (2018). ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 172 indexed citations
13.
Zhou, Chang, et al.. (2017). Scalable Graph Embedding for Asymmetric Proximity. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 124 indexed citations
14.
Liu, Xiaofei & Liqun Shang. (2016). Power system load forecasting by improved principal component analysis and neural network. 1–4. 12 indexed citations
15.
16.
Liu, Xiaofei. (2010). A approach for workflow testing based on directed graph. Microcomputer Information.
17.
Liu, Xiaofei. (2010). Design of Flex-based RIA Technologies. Computer Knowledge and Technology.
18.
Liu, Xiaofei. (2008). Research and advances in probabilistic planning. Caai Transactions on Intelligent Systems. 3 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.

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