Jun Wen

6.0k total citations · 3 hit papers
144 papers, 4.2k citations indexed

About

Jun Wen is a scholar working on Economics and Econometrics, Information Systems and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jun Wen has authored 144 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Economics and Econometrics, 19 papers in Information Systems and 19 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jun Wen's work include Energy, Environment, Economic Growth (58 papers), Energy, Environment, and Transportation Policies (18 papers) and Economic Growth and Development (15 papers). Jun Wen is often cited by papers focused on Energy, Environment, Economic Growth (58 papers), Energy, Environment, and Transportation Policies (18 papers) and Economic Growth and Development (15 papers). Jun Wen collaborates with scholars based in China, Taiwan and Pakistan. Jun Wen's co-authors include Chun‐Ping Chang, Gen‐Fu Feng, Xinxin Zhao, Muhammad Zakaria, Hadi Hussain, Hamid Mahmood, Waheed Ali, Hua‐Tang Yin, Yu Hao and Quan‐Jing Wang and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jun Wen

133 papers receiving 4.1k citations

Hit Papers

Does globalization matter for environmental degradation? ... 2021 2026 2022 2024 2021 2023 2024 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Wen China 41 2.5k 794 656 647 386 144 4.2k
Abdelmohsen A. Nassani Saudi Arabia 38 2.6k 1.0× 1.1k 1.4× 553 0.8× 480 0.7× 666 1.7× 220 4.6k
Xuefeng Shao Australia 31 2.5k 1.0× 903 1.1× 576 0.9× 479 0.7× 477 1.2× 82 3.8k
Xiaodong Yang China 34 4.1k 1.6× 1.1k 1.4× 559 0.9× 881 1.4× 968 2.5× 79 4.9k
Zeeshan Fareed China 35 2.9k 1.2× 1.1k 1.3× 407 0.6× 320 0.5× 637 1.7× 88 3.9k
Majed Alharthi Saudi Arabia 34 2.3k 0.9× 1.3k 1.6× 491 0.7× 448 0.7× 657 1.7× 110 4.0k
Zhongfei Chen China 39 3.1k 1.3× 684 0.9× 1.2k 1.9× 989 1.5× 861 2.2× 135 5.5k
Lili Yang China 27 3.4k 1.3× 961 1.2× 551 0.8× 612 0.9× 1.3k 3.4× 110 5.4k
Sahar Afshan Malaysia 33 3.0k 1.2× 1.5k 1.9× 394 0.6× 496 0.8× 847 2.2× 66 3.9k
Muhammad Sadiq Malaysia 33 2.8k 1.1× 1.4k 1.8× 510 0.8× 686 1.1× 418 1.1× 65 4.0k
Muhammad Atif Nawaz Pakistan 24 2.2k 0.9× 1.2k 1.5× 363 0.6× 436 0.7× 353 0.9× 101 3.4k

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wen. A scholar is included among the top collaborators of Jun Wen 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 Jun Wen. Jun Wen 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.
Wen, Jun, et al.. (2025). Examining the Influence of ICT on Carbon Emissions in Emerging Economies. Structural Change and Economic Dynamics. 74. 353–360. 3 indexed citations
2.
Wen, Jun, et al.. (2025). Supply chain challenges and energy insecurity: The role of AI in facilitating renewable energy transition. Energy Economics. 144. 108378–108378. 11 indexed citations
3.
Yang, Weiyang, Jun Wen, Weizhi Liu, et al.. (2025). PlantGPT: An Arabidopsis‐Based Intelligent Agent that Answers Questions about Plant Functional Genomics. Advanced Science. 12(30). e03926–e03926. 7 indexed citations
5.
Farooq, Umar, et al.. (2024). How does oil policy uncertainty influence resource rents? New empirical evidence from Organization of the Petroleum Exporting Countries. Economics and Politics. 37(1). 146–168. 2 indexed citations
6.
Wen, Jun, et al.. (2023). Does global economic reform accentuate technological innovation? A comparative evidence around the world. Economic Research-Ekonomska Istraživanja. 36(3). 2 indexed citations
7.
Wen, Jun, et al.. (2023). Does climate vulnerability promote green investment under energy supply restriction?. Energy Economics. 124. 106790–106790. 42 indexed citations
8.
Wen, Jun, et al.. (2023). Does corruption hurt green innovation? Yes – Global evidence from cross-validation. Technological Forecasting and Social Change. 188. 122313–122313. 91 indexed citations breakdown →
9.
Wen, Jun, et al.. (2023). Measuring RMB equilibrium exchange rate and misalignment in China: Application of BEER and PEER approaches. Journal of International Trade & Economic Development. 33(7). 1323–1344.
10.
Wen, Jun, et al.. (2023). An empirical investigation of the relationship between real exchange rate and innovation: Evidence from China. International Journal of Finance & Economics. 29(3). 2991–3006. 1 indexed citations
11.
Wen, Jun, et al.. (2023). Exploring the Level and Influencing Factors of Digital Village Development in China: Insights and Recommendations. Sustainability. 15(13). 10423–10423. 11 indexed citations
12.
Wen, Jun, et al.. (2023). Does Technological Innovation Reduce Environmental Degradation? Evidence from China. Engineering Economics. 34(3). 323–334. 12 indexed citations
13.
Zhao, Xinxin, Jie Ma, Jun Wen, & Chun‐Ping Chang. (2023). THE IMPACT OF EPIDEMICS ON GREEN INNOVATION: GLOBAL ANALYSIS. Technological and Economic Development of Economy. 30(1). 22–45. 10 indexed citations
14.
Mahmood, Hamid, Jun Wen, Muhammad Zakaria, & Samia Khalid. (2022). Linking electricity demand and economic growth in China: evidence from wavelet analysis. Environmental Science and Pollution Research. 29(26). 39473–39485. 12 indexed citations
15.
Wen, Jun, et al.. (2020). Working women and per capita household consumption expenditures; an untouched reality. Zbornik radova Ekonomskog fakulteta u Rijeci. 38(1). 7 indexed citations
16.
Feng, Gen‐Fu, et al.. (2018). Do Economic Growth and Seaport Throughput Move Together in Port Cities. Rivista Internazionale di Economia dei Trasporti. 45(2). 211–239. 8 indexed citations
17.
Liu, Tao, Yan Xu, Yuan Luo, et al.. (2013). Associations between risk perception, spontaneous adaptation behavior to heat waves and heatstroke in Guangdong province, China. BMC Public Health. 13(1). 913–913. 95 indexed citations
18.
Wen, Jun. (2012). Financial Intermediation,Enterprise Heterogeneity and Technical Innovation. Xi'an Jiaotong Daxue xuebao. 1 indexed citations
19.
Wen, Jun. (2008). An Empirical Study on Relationship between Corporate Governance and Technical Innovation of Chinese Listed Companies. China Industrial Economy. 15 indexed citations
20.
Wen, Jun. (2006). Water-saved society and applications of its estimate index.

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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