Liyan Sun

1.3k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Liyan Sun is a scholar working on Economics and Econometrics, Management Science and Operations Research and Environmental Engineering. According to data from OpenAlex, Liyan Sun has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 3 papers in Management Science and Operations Research and 3 papers in Environmental Engineering. Recurrent topics in Liyan Sun's work include Energy, Environment, Economic Growth (6 papers), Environmental Impact and Sustainability (3 papers) and Energy, Environment, and Transportation Policies (3 papers). Liyan Sun is often cited by papers focused on Energy, Environment, Economic Growth (6 papers), Environmental Impact and Sustainability (3 papers) and Energy, Environment, and Transportation Policies (3 papers). Liyan Sun collaborates with scholars based in China and Saudi Arabia. Liyan Sun's co-authors include Cheng-lin Miao, Qiaoling Luo, Li Yang, Debin Fang, Yu Qian, Junqi Zhu, Yang Li, Yang Li, Shanshan Li and Guangxia Li and has published in prestigious journals such as Journal of Cleaner Production, International Journal of Environmental Research and Public Health and Resources Conservation and Recycling.

In The Last Decade

Liyan Sun

16 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method

2016 262 citations Liyan Sun, Cheng-lin Miao et al. Ecological Indicators profile →

Peers

Liyan Sun

MARKE

MSOR

Cheng-lin Miao China

Qiaoling Luo China

Decai Tang China

Da Gao China

Juan Lu China

Zhihua Tian China

Jin Hu China

Xiaoxiao Zhou China

Herui Cui China

Zilong Zhang China

Cheng-lin Miao China

Liyan Sun

811 ×1.2

302 ×1.1

MARKE

284 ×1.2

229 ×1.0

182 ×1.2

MSOR

Citations per year, relative to Liyan Sun Liyan Sun (= 1×) peers Cheng-lin Miao

Countries citing papers authored by Liyan Sun

Since Specialization

Citations

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

Fields of papers citing papers by Liyan Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyan Sun

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

All Works

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16 of 16 papers shown

Sun, Liyan, X. T. Hou, & Li Yang. (2025). Study on the Dynamic Evolution and Driving Forces of High-Quality Development of Coal Cities in China. Sustainability. 17(4). 1707–1707. 1 indexed citations

Sun, Liyan, et al.. (2023). Spatial and Temporal Evolution of Couplingand Coordination between Scientificand Technological Innovation and Green Economyin Anhui Province. Polish Journal of Environmental Studies. 33(1). 375–389. 1 indexed citations

Sun, Liyan, et al.. (2023). Research on the Dynamic Coupling and Coordination of Science and Technology Innovation and Sustainable Development in Anhui Province. Sustainability. 15(4). 2874–2874. 6 indexed citations

Sun, Liyan, et al.. (2023). Efficiency and Influencing Factors of EnergyConservation and Emission Reductionin High-Energy-Consuming Industries Drivenby Technological Innovation. Polish Journal of Environmental Studies. 32(4). 3769–3785. 2 indexed citations

Sun, Liyan, et al.. (2022). Hot topics and frontier evolution in college flipped classrooms based on mapping knowledge domains. Frontiers in Public Health. 10. 950106–950106. 4 indexed citations

Zhu, Junqi, Guangxia Li, Shanshan Li, et al.. (2022). Survey Study of the Cultural Integration of International Students in East China under Ecosystem Theory. Sustainability. 14(21). 14485–14485. 8 indexed citations

Li, Yang, et al.. (2022). Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD. International Journal of Environmental Research and Public Health. 19(17). 10762–10762. 8 indexed citations

Sun, Liyan, et al.. (2021). Research on China interregional industrial transformation slowdown and influencing factors of industrial transformation based on numerical simulation. Applied Mathematics and Nonlinear Sciences. 7(2). 561–570. 1 indexed citations

Sun, Liyan, Li Yang, & Junqi Zhu. (2021). Prediction of Future State Based on Up‐To‐Date Information of Green Development Using Algorithm of Deep Neural Network. Complexity. 2021(1). 6 indexed citations

10.

Luo, Qiaoling, et al.. (2019). Efficiency evaluation of green technology innovation of China's strategic emerging industries: An empirical analysis based on Malmquist-data envelopment analysis index. Journal of Cleaner Production. 238. 117782–117782. 198 indexed citations

11.

Miao, Cheng-lin, Debin Fang, Liyan Sun, & Qiaoling Luo. (2017). Natural resources utilization efficiency under the influence of green technological innovation. Resources Conservation and Recycling. 126. 153–161. 308 indexed citations

12.

Miao, Cheng-lin, Debin Fang, Liyan Sun, Qiaoling Luo, & Yu Qian. (2017). Driving effect of technology innovation on energy utilization efficiency in strategic emerging industries. Journal of Cleaner Production. 170. 1177–1184. 138 indexed citations

13.

Sun, Liyan, Cheng-lin Miao, & Li Yang. (2017). Ecological environmental early-warning model for strategic emerging industries in China based on logistic regression. Ecological Indicators. 84. 748–752. 20 indexed citations

14.

Sun, Liyan, Cheng-lin Miao, & Li Yang. (2016). Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method. Ecological Indicators. 73. 554–558. 262 indexed citations breakdown →

15.

Miao, Cheng-lin, Liyan Sun, & Li Yang. (2015). The studies of ecological environmental quality assessment in Anhui Province based on ecological footprint. Ecological Indicators. 60. 879–883. 85 indexed citations

16.

Miao, Cheng-lin, Liyan Sun, & Li Yang. (2014). Evaluation method for coalmining-based cities ecosystem based on attribute mathematical model with Huainan City as an example. Ecological Indicators. 48. 17–21. 9 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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