Neng Shen

590 total citations · 1 hit paper
14 papers, 444 citations indexed

About

Neng Shen is a scholar working on Strategy and Management, Economics and Econometrics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Neng Shen has authored 14 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Strategy and Management, 6 papers in Economics and Econometrics and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Neng Shen's work include Energy, Environment, Economic Growth (4 papers), Innovation and Knowledge Management (4 papers) and Municipal Solid Waste Management (3 papers). Neng Shen is often cited by papers focused on Energy, Environment, Economic Growth (4 papers), Innovation and Knowledge Management (4 papers) and Municipal Solid Waste Management (3 papers). Neng Shen collaborates with scholars based in China. Neng Shen's co-authors include Qunwei Wang, Hui Peng, Jing Luo, Fan Fei, Lin Zhang, Guoping Zhang, Yuqing Zhao, Djavan De Clercq, Jing Zhang and Lianjun Wu and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Neng Shen

12 papers receiving 437 citations

Hit Papers

Can environmental regulation directly promote green innov... 2021 2026 2022 2024 2021 100 200 300

Peers

Neng Shen
Neng Shen
Citations per year, relative to Neng Shen Neng Shen (= 1×) peers Lingling Guo

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

14 of 14 papers shown
1.
Shen, Neng, Lianjun Wu, Jingwen Zhou, & Jing Zhang. (2025). Mapping innovation ecosystem research published from 2006 to 2023: A scientometric review. Journal of Engineering and Technology Management. 78. 101916–101916.
3.
Shen, Neng, et al.. (2025). Can digitalization break the political resource curse? A study on political connections and corporate green innovation. Journal of Environmental Management. 380. 124992–124992. 1 indexed citations
5.
Shen, Neng, et al.. (2024). Clear the fog: Can public–private collaborative supervision promote the construction of a high‐quality public health system?. Managerial and Decision Economics. 46(1). 52–66. 1 indexed citations
6.
Shen, Neng, et al.. (2024). Diffusion model to analyse the performance of electric vehicle policies: An evolutionary game simulation. Transportation Research Part D Transport and Environment. 127. 104037–104037. 10 indexed citations
7.
Shen, Neng, et al.. (2024). Find the “best evidence” of the relationship between network embeddedness and enterprise disruptive innovation performance. Business Process Management Journal. 30(7). 2456–2481. 3 indexed citations
8.
Shen, Neng, Guoping Zhang, Jingwen Zhou, et al.. (2024). Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning. Journal of Environmental Management. 372. 123296–123296. 19 indexed citations
9.
Shen, Neng, et al.. (2024). Evolution of regional collaborative innovation network by the ‘two-wheel drive' of external proximity and endogenous gravity. Technology Analysis and Strategic Management. 37(12). 3251–3270.
10.
Cao, Yangchun, et al.. (2023). Research on the evolution of disruptive technological innovation cooperation network: a case study of blockchain and automatic driving technology. Technology Analysis and Strategic Management. 36(10). 3066–3081. 1 indexed citations
11.
Fei, Fan, et al.. (2022). Promoting the source separation of household kitchen waste based on comprehensive evaluation and economic feasibility. Journal of Cleaner Production. 342. 130970–130970. 15 indexed citations
12.
Fei, Fan, Neng Shen, Djavan De Clercq, & Jing Luo. (2021). Redesign of urban biowaste sustainable management system based on industrial ecology concept: A case study in China. The Science of The Total Environment. 793. 148425–148425. 10 indexed citations
13.
Peng, Hui, et al.. (2021). Can environmental regulation directly promote green innovation behavior?—— based on situation of industrial agglomeration. Journal of Cleaner Production. 314. 128044–128044. 313 indexed citations breakdown →
14.
Peng, Hui, et al.. (2021). Factor analysis and policy simulation of domestic waste classification behavior based on a multiagent study—Taking Shanghai's garbage classification as an example. Environmental Impact Assessment Review. 89. 106598–106598. 66 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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