Shuli Yan

2.8k total citations · 1 hit paper
62 papers, 2.3k citations indexed

About

Shuli Yan is a scholar working on Management Science and Operations Research, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Shuli Yan has authored 62 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Management Science and Operations Research, 18 papers in Biomedical Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Shuli Yan's work include Grey System Theory Applications (23 papers), Biodiesel Production and Applications (13 papers) and Energy Load and Power Forecasting (12 papers). Shuli Yan is often cited by papers focused on Grey System Theory Applications (23 papers), Biodiesel Production and Applications (13 papers) and Energy Load and Power Forecasting (12 papers). Shuli Yan collaborates with scholars based in China, United States and Spain. Shuli Yan's co-authors include Steven O. Salley, K. Y. Simon Ng, Lifeng Wu, Sifeng Liu, Ligen Yao, Manhoe Kim, Dinglin Liu, Bin Liang, Houfang Lu and Craig L. DiMaggio and has published in prestigious journals such as Journal of Power Sources, Bioresource Technology and Journal of Cleaner Production.

In The Last Decade

Shuli Yan

57 papers receiving 2.2k citations

Hit Papers

Grey system model with the fractional order accumulation 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuli Yan China 22 1.1k 951 810 497 286 62 2.3k
Kaveh Khalilpour Australia 30 589 0.5× 1.5k 1.6× 111 0.1× 1.2k 2.5× 780 2.7× 90 4.1k
Morteza Esfandyari Iran 21 258 0.2× 286 0.3× 207 0.3× 279 0.6× 143 0.5× 68 1.4k
Lin Chen China 29 306 0.3× 224 0.2× 108 0.1× 187 0.4× 564 2.0× 131 2.4k
M. Erdem Günay Türkiye 23 239 0.2× 186 0.2× 106 0.1× 369 0.7× 485 1.7× 50 1.3k
Mahdi Sharifzadeh United Kingdom 20 867 0.8× 419 0.4× 34 0.0× 345 0.7× 203 0.7× 39 2.0k
Cheng‐Liang Chen Taiwan 33 458 0.4× 628 0.7× 114 0.1× 316 0.6× 235 0.8× 137 3.0k
Pablo R. Brito‐Parada United Kingdom 21 538 0.5× 565 0.6× 190 0.2× 198 0.4× 158 0.6× 87 1.6k
Chang He China 24 444 0.4× 555 0.6× 74 0.1× 461 0.9× 313 1.1× 126 2.1k
M. M. Faruque Hasan United States 32 573 0.5× 1.3k 1.4× 44 0.1× 343 0.7× 399 1.4× 83 3.0k
Harvey Arellano‐García Germany 30 480 0.4× 507 0.5× 109 0.1× 199 0.4× 1.1k 3.7× 143 2.8k

Countries citing papers authored by Shuli Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuli Yan

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

All Works

20 of 20 papers shown
1.
Yan, Shuli, et al.. (2026). A fuzzy group decision-making method integrating cooperative game theory and quantum cognition for dynamic trust network. Expert Systems with Applications. 307. 131045–131045.
2.
Yan, Shuli, et al.. (2025). A multi-attribute quantum group consensus model considering psychological preference. Engineering Applications of Artificial Intelligence. 144. 110086–110086. 4 indexed citations
3.
Yan, Shuli, et al.. (2025). Grey quantum group decision and its application in meteorological disaster emergency. Expert Systems with Applications. 290. 128382–128382. 1 indexed citations
4.
Yan, Shuli, et al.. (2025). A quantum-linguistic multi-attribute group consensus method based on trust networks. Advanced Engineering Informatics. 66. 103390–103390. 6 indexed citations
5.
Yan, Shuli, et al.. (2025). A quantum group consensus method incorporating fairness theory. Computers & Industrial Engineering. 207. 111261–111261.
6.
Yan, Shuli, et al.. (2025). A novel structural adaptive seasonal grey Bernoulli model in natural gas production forecasting. Engineering Applications of Artificial Intelligence. 148. 110407–110407. 4 indexed citations
9.
Gong, Zaiwu, et al.. (2024). Satisfied and fair two-sided matching method considering dual-reference with linguistic preference. Engineering Applications of Artificial Intelligence. 133. 108600–108600. 7 indexed citations
10.
Yan, Shuli, et al.. (2024). Nanobubbles Adsorption and Its Role in Enhancing Fine Argentite Flotation. Molecules. 30(1). 79–79. 2 indexed citations
11.
Yan, Shuli, Yingying Zeng, Zaiwu Gong, & Jingyuan Wang. (2024). Multi-attribute quantum group interference decision model considering minimum constraint and information entropy. Computers & Industrial Engineering. 192. 110255–110255. 9 indexed citations
12.
Yan, Shuli, et al.. (2024). Quantum group consensus model based on linguistic Z-numbers and its application to meteorological disaster emergency. Information Sciences. 700. 121777–121777. 6 indexed citations
13.
Yan, Shuli, et al.. (2023). A novel grey multivariate convolution model based on the improved marine predators algorithm for predicting fossil CO2 emissions in China. Expert Systems with Applications. 243. 122865–122865. 8 indexed citations
14.
Yan, Shuli. (2023). Methods and catalysts for making biodiesel from the transesterification and esterification of unrefined oils. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
15.
Yan, Shuli, et al.. (2021). Pricing and Coordination Strategies of Dual Channels Considering Consumers’ Channel Preferences. Sustainability. 13(20). 11191–11191. 5 indexed citations
16.
Yan, Shuli, et al.. (2019). Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence. Applied Mathematical Modelling. 80. 99–114. 30 indexed citations
17.
Yan, Shuli, et al.. (2019). Dynamic multi-attribute group decision making method based on 4-dimensional matrix grey target model. Journal of Intelligent & Fuzzy Systems. 37(1). 1043–1053. 1 indexed citations
18.
Shu, Lan, et al.. (2018). A novel multivariate grey model for forecasting the sequence of ternary interval numbers. Applied Mathematical Modelling. 69. 273–286. 35 indexed citations
19.
Yan, Shuli & Sifeng Liu. (2016). Multi-stage group risk decision making with grey numbers based on grey target and prospect theory. Grey Systems Theory and Application. 6(1). 64–79. 6 indexed citations
20.
Kim, Manhoe, Craig L. DiMaggio, Shuli Yan, et al.. (2010). Performance of heterogeneous ZrO2 supported metaloxide catalysts for brown grease esterification and sulfur removal. Bioresource Technology. 102(3). 2380–2386. 46 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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