Dapeng Liang

3.3k total citations
97 papers, 2.2k citations indexed

About

Dapeng Liang is a scholar working on Economics and Econometrics, Molecular Biology and Strategy and Management. According to data from OpenAlex, Dapeng Liang has authored 97 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 13 papers in Molecular Biology and 12 papers in Strategy and Management. Recurrent topics in Dapeng Liang's work include Energy, Environment, Economic Growth (14 papers), Environmental Impact and Sustainability (11 papers) and Decision-Making and Behavioral Economics (9 papers). Dapeng Liang is often cited by papers focused on Energy, Environment, Economic Growth (14 papers), Environmental Impact and Sustainability (11 papers) and Decision-Making and Behavioral Economics (9 papers). Dapeng Liang collaborates with scholars based in China, Canada and United Kingdom. Dapeng Liang's co-authors include Tiansen Liu, Yazhi Song, Xinpeng Xing, Yan Zhou, Zhenzhong Ma, Xiaoqiu Song, Muhammad Adeel Anjum, Kuangnan Fang, Yufeng Zhang and Dilawar Khan Durrani and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Dapeng Liang

92 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dapeng Liang China 27 557 435 285 273 253 97 2.2k
Ling‐Yun He China 33 2.1k 3.8× 307 0.7× 309 1.1× 452 1.7× 471 1.9× 168 3.9k
Derek Wang China 24 611 1.1× 364 0.8× 442 1.6× 289 1.1× 282 1.1× 71 2.1k
Supat Chupradit Thailand 26 1.1k 1.9× 300 0.7× 134 0.5× 180 0.7× 288 1.1× 90 2.8k
Shu‐Ling Chen Australia 29 188 0.3× 171 0.4× 336 1.2× 79 0.3× 250 1.0× 171 2.7k
Yina Li China 33 596 1.1× 119 0.3× 1.5k 5.2× 1.1k 4.2× 172 0.7× 74 3.1k
Yong Tan United Kingdom 28 1.3k 2.3× 185 0.4× 362 1.3× 121 0.4× 94 0.4× 146 3.2k
Ping He China 28 568 1.0× 131 0.3× 1.8k 6.4× 751 2.8× 317 1.3× 69 3.2k
Xian Zheng China 21 472 0.8× 194 0.4× 126 0.4× 74 0.3× 59 0.2× 62 1.7k
David Crowther United Kingdom 26 206 0.4× 484 1.1× 1.2k 4.1× 610 2.2× 50 0.2× 135 2.8k

Countries citing papers authored by Dapeng Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapeng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Dapeng Liang. A scholar is included among the top collaborators of Dapeng Liang 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 Dapeng Liang. Dapeng Liang 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.
Liang, Dapeng, et al.. (2024). Shaping future generosity: The role of injunctive social norms in intertemporal pro-social giving. Journal of Economic Psychology. 102. 102717–102717. 4 indexed citations
2.
Ma, Zhenzhong, et al.. (2024). The moderating effect of national culture on board interlocks’ impact on firm performance: A meta-analysis. Journal of Business Research. 183. 114816–114816. 3 indexed citations
3.
Liang, Dapeng, et al.. (2023). Promoting Low-Carbon Purchase from Social Norms Perspective. Behavioral Sciences. 13(10). 854–854. 6 indexed citations
4.
Liang, Dapeng, et al.. (2023). “Fill the World with Love”: Songs with Prosocial Lyrics Enhance Online Charitable Donations among Chinese Adults. Behavioral Sciences. 13(9). 739–739. 4 indexed citations
5.
Wang, Zhuowen, Haijun Chen, Anfeng Li, et al.. (2023). Photocatalytic Degradation of Acetaminophen in Aqueous Environments: A Mini Review. Toxics. 11(7). 604–604. 16 indexed citations
6.
Hu, Lulu, Ji Shi, Dapeng Liang, et al.. (2023). Osimertinib induces paraptosis and TRIP13 confers resistance in glioblastoma cells. Cell Death Discovery. 9(1). 333–333. 13 indexed citations
7.
Liang, Dapeng, et al.. (2023). The effect of brief digital mindfulness-based interventions on increasing online charitable behavior in Chinese adolescents. Frontiers in Psychology. 14. 1213089–1213089. 2 indexed citations
8.
Fang, Kun, Sha Du, Ke Jiang, et al.. (2022). SUFU suppresses ferroptosis sensitivity in breast cancer cells via Hippo/YAP pathway. iScience. 25(7). 104618–104618. 37 indexed citations
9.
Liang, Dapeng, et al.. (2022). Stronger Together: Examining the Interaction Effects of Workplace Dignity and Workplace Inclusion on Employees’ Job Performance. Frontiers in Psychology. 13. 891189–891189. 6 indexed citations
10.
Hu, Lulu, Dapeng Liang, Ji Shi, et al.. (2020). Thyroid receptor-interacting protein 13 and EGFR form a feedforward loop promoting glioblastoma growth. Cancer Letters. 493. 156–166. 8 indexed citations
11.
Liu, Jie, et al.. (2020). MicroRNA-345-5p acts as an anti-inflammatory regulator in experimental allergic rhinitis via the TLR4/NF-κB pathway. International Immunopharmacology. 86. 106522–106522. 24 indexed citations
12.
Jiang, Ke, Gang Yao, Lulu Hu, et al.. (2020). MOB2 suppresses GBM cell migration and invasion via regulation of FAK/Akt and cAMP/PKA signaling. Cell Death and Disease. 11(4). 230–230. 56 indexed citations
13.
Liu, Min, Ke Jiang, Peng Liu, et al.. (2018). Ajuba inhibits hepatocellular carcinoma cell growth via targeting of β-catenin and YAP signaling and is regulated by E3 ligase Hakai through neddylation. Journal of Experimental & Clinical Cancer Research. 37(1). 165–165. 37 indexed citations
14.
Qiu, Jie, Wen‐Wei Zhang, Shuwei Zhao, et al.. (2017). Investigating the mechanisms of papillary thyroid carcinoma using transcriptome analysis. Molecular Medicine Reports. 16(5). 5954–5964. 3 indexed citations
15.
Chitsaz, Ehsan, et al.. (2016). The impact of resource configuration on Iranian technology venture performance. Technological Forecasting and Social Change. 122. 186–195. 24 indexed citations
16.
Liang, Dapeng, et al.. (2012). The research on the model and stability of CCS based on the system dynamics. Guanli kexue xuebao. 15(7). 36–49. 1 indexed citations
17.
Zhou, Yan, Dapeng Liang, & Xinpeng Xing. (2012). Environmental efficiency of industrial sectors in China: An improved weighted SBM model. Mathematical and Computer Modelling. 58(5-6). 990–999. 30 indexed citations
18.
Liang, Dapeng, et al.. (2010). China national innovation system in energy sector: The case study on CCS. Portland International Conference on Management of Engineering and Technology. 1–14.
19.
Liang, Dapeng. (2010). Secrecy of Compressed Sensing Measurements. Telecommunication Engineering. 7 indexed citations
20.
Liang, Dapeng. (2009). Research on CCS Commercial Model and Its Systematic Simulation in China Based on Electricity Market. Zhongguo ruankexue. 3 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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