Neng Shen

2.1k total citations · 1 hit paper
31 papers, 1.8k citations indexed

About

Neng Shen is a scholar working on Economics and Econometrics, Environmental Engineering and Management Science and Operations Research. According to data from OpenAlex, Neng Shen has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 13 papers in Environmental Engineering and 8 papers in Management Science and Operations Research. Recurrent topics in Neng Shen's work include Energy, Environment, Economic Growth (19 papers), Environmental Impact and Sustainability (13 papers) and Efficiency Analysis Using DEA (8 papers). Neng Shen is often cited by papers focused on Energy, Environment, Economic Growth (19 papers), Environmental Impact and Sustainability (13 papers) and Efficiency Analysis Using DEA (8 papers). Neng Shen collaborates with scholars based in China and Taiwan. Neng Shen's co-authors include Yan Wang, Qunwei Wang, Haolan Liao, Hui Peng, Zengyao Zhao, Peng Zhou, Tiantian Liu, Qianwang Deng, Wenjie Zou and Yung‐ho Chiu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Neng Shen

31 papers receiving 1.7k citations

Hit Papers

Environmental regulation and environmental productivity: ... 2016 2026 2019 2022 2016 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
Neng Shen China 19 1.3k 648 474 348 270 31 1.8k
Jianling Jiao China 24 1.2k 1.0× 440 0.7× 561 1.2× 531 1.5× 527 2.0× 54 2.3k
Malin Song China 24 774 0.6× 407 0.6× 541 1.1× 225 0.6× 183 0.7× 52 1.8k
Benhong Peng China 24 961 0.8× 280 0.4× 557 1.2× 503 1.4× 158 0.6× 80 1.9k
Jianbai Huang China 29 2.1k 1.6× 777 1.2× 270 0.6× 174 0.5× 604 2.2× 76 2.8k
Qiang Du China 26 833 0.7× 673 1.0× 295 0.6× 142 0.4× 317 1.2× 67 2.0k
Jianhua Yin China 20 1.1k 0.9× 645 1.0× 381 0.8× 570 1.6× 582 2.2× 30 2.4k
Danish Iqbal Godil Pakistan 22 1.9k 1.5× 584 0.9× 455 1.0× 391 1.1× 996 3.7× 40 2.7k
Xin Yao China 24 2.3k 1.8× 1.0k 1.6× 413 0.9× 564 1.6× 641 2.4× 44 2.9k
Humaira Yasmeen China 16 922 0.7× 250 0.4× 490 1.0× 659 1.9× 287 1.1× 28 1.7k
Yanchun Pan China 22 725 0.6× 256 0.4× 434 0.9× 206 0.6× 440 1.6× 55 1.4k

Countries citing papers authored by Neng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Neng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Neng Shen. A scholar is included among the top collaborators of Neng Shen 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 Neng Shen. Neng Shen 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.
Shen, Neng, et al.. (2024). How does data factor marketization influence urban carbon emission efficiency? A new method based on double machine learning. Sustainable Cities and Society. 119. 106106–106106. 20 indexed citations
2.
Shen, Neng, et al.. (2020). Mapping renewable energy subsidy policy research published from 1997 to 2018: A scientometric review. Utilities Policy. 64. 101055–101055. 20 indexed citations
3.
Liao, Haolan, Qingyu Zhang, Neng Shen, & Lü Li. (2020). Stochastic analysis of quality uncertainty and optimal acquisition strategies for engine remanufacturing. Journal of Cleaner Production. 261. 121088–121088. 11 indexed citations
4.
Shen, Neng, et al.. (2020). Effects of rural-urban migration on economic status of rural residents. SHILAP Revista de lepidopterología. 9(6). 154–160. 1 indexed citations
5.
Peng, Hui, Neng Shen, Haolan Liao, & Qunwei Wang. (2020). Multiple network embedding, green knowledge integration and green supply chain performance——Investigation based on agglomeration scenario. Journal of Cleaner Production. 259. 120821–120821. 46 indexed citations
6.
Shen, Neng & Hui Peng. (2020). Can industrial agglomeration achieve the emission-reduction effect?. Socio-Economic Planning Sciences. 75. 100867–100867. 134 indexed citations
7.
Shen, Neng, et al.. (2020). A review of carbon trading based on an evolutionary perspective. International Journal of Climate Change Strategies and Management. 12(5). 739–756. 13 indexed citations
9.
Liao, Haolan, Qianwang Deng, & Neng Shen. (2018). Optimal remanufacture-up-to strategy with uncertainties in acquisition quality, quantity, and market demand. Journal of Cleaner Production. 206. 987–1003. 44 indexed citations
10.
Liao, Haolan, et al.. (2018). A non-probabilistic model of carbon footprints in remanufacture under multiple uncertainties. Journal of Cleaner Production. 211. 1127–1140. 30 indexed citations
11.
Wang, Yan & Neng Shen. (2016). Agricultural Environmental Efficiency and Agricultural Environmental Kuznets Curve Based on Technological Gap: the Case of China. Polish Journal of Environmental Studies. 25(3). 1293–1303. 16 indexed citations
12.
Wang, Yan & Neng Shen. (2016). Environmental regulation and environmental productivity: The case of China. Renewable and Sustainable Energy Reviews. 62. 758–766. 449 indexed citations breakdown →
13.
Zou, Wenjie, Chin-Wei Huang, Yung‐ho Chiu, Neng Shen, & Shumei Wang. (2016). The dynamic DEA assessment of the intertemporal efficiency and optimal quantity of patent for China’s high-tech industry. Asian Journal of Technology Innovation. 24(3). 378–395. 5 indexed citations
14.
Huang, Chin-Wei, Yung‐ho Chiu, Wei‐Ta Fang, & Neng Shen. (2014). Assessing the performance of Taiwan’s environmental protection system with a non-radial network DEA approach. Energy Policy. 74. 547–556. 32 indexed citations
15.
Shen, Neng, Jingjing Zhou, & Wenjie Zou. (2014). Energy Efficiency Measures and Convergence in China, Taking into Account the Effects of Environmental and Random Factors. Polish Journal of Environmental Studies. 24. 257–267. 22 indexed citations
16.
Shen, Neng. (2013). Local Knowledge Spillovers and Productive Service Industry Clustering: Based on City Data Spatial Econometrics. Science of Science and Management of S.& T. 2 indexed citations
17.
Shen, Neng, et al.. (2013). SPATIAL PATTERNS OF ENERGY EFFICIENCY AND DIFFERENT ENERGY-SAVING PATH IN CHINA —BASED ON THREE-STAGE DEA MODEL. Xitong kexue yu shuxue. 33(4). 457. 1 indexed citations
18.
Wang, Qunwei, et al.. (2013). Measuring carbon dioxide emission performance in Chinese provinces: A parametric approach. Renewable and Sustainable Energy Reviews. 21. 324–330. 127 indexed citations
19.
Shen, Neng. (2012). Environmental Efficiency,Industrial Heterogeneity and Intensity of Optimal Regulation——Nonlinear Test Based on Industrial Panel-data. China Industrial Economy. 14 indexed citations
20.
Shen, Neng. (2012). The Threshold Effect of Environmental Regulation on Regional Technological Innovation. 10 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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