Mengya Yang

416 total citations · 1 hit paper
23 papers, 269 citations indexed

About

Mengya Yang is a scholar working on Plant Science, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Mengya Yang has authored 23 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Molecular Biology and 6 papers in Sociology and Political Science. Recurrent topics in Mengya Yang's work include Plant Stress Responses and Tolerance (6 papers), Plant nutrient uptake and metabolism (6 papers) and Digital Marketing and Social Media (4 papers). Mengya Yang is often cited by papers focused on Plant Stress Responses and Tolerance (6 papers), Plant nutrient uptake and metabolism (6 papers) and Digital Marketing and Social Media (4 papers). Mengya Yang collaborates with scholars based in China and United Kingdom. Mengya Yang's co-authors include Kai Xiao, Lu Meng, Juntao Gu, Yijie Wang, Xiaona Wang, Xiaoying Wang, Ying Zhao, Panpan Niu, Miao Zhang and Jun Wang and has published in prestigious journals such as PLoS ONE, Journal of Business Research and Tourism Management.

In The Last Decade

Mengya Yang

23 papers receiving 266 citations

Hit Papers

The effect of human versus virtual influencers: The roles... 2024 2026 2025 2024 10 20 30 40
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.

  1. The effect of human versus virtual influencers: The roles of destination types and self-referencing processes
    2024 42 citations Lu Meng, Mengya Yang et al. Tourism Management profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengya Yang China 10 116 79 69 44 21 23 269
Bingyan Hu China 9 146 1.3× 191 2.4× 48 0.7× 32 0.7× 7 0.3× 13 303
Qinghui Li China 10 100 0.9× 80 1.0× 62 0.9× 41 0.9× 7 0.3× 24 343
Kyung Ah Lee South Korea 8 30 0.3× 40 0.5× 49 0.7× 39 0.9× 8 0.4× 27 319
Abdul Gofur Indonesia 11 52 0.4× 25 0.3× 30 0.4× 55 1.3× 4 0.2× 108 504
Ákos Nagy Hungary 7 77 0.7× 31 0.4× 51 0.7× 38 0.9× 5 0.2× 28 276
Mingjie Ji China 10 22 0.2× 25 0.3× 228 3.3× 148 3.4× 7 0.3× 19 402
Youn Kyung Kim United States 8 49 0.4× 83 1.1× 65 0.9× 170 3.9× 2 0.1× 9 301
Ming Xue China 9 72 0.6× 15 0.2× 44 0.6× 5 0.1× 23 1.1× 21 242
Widodo Widodo Indonesia 7 43 0.4× 15 0.2× 45 0.7× 17 0.4× 9 0.4× 101 241

Countries citing papers authored by Mengya Yang

Since Specialization
Citations

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

Fields of papers citing papers by Mengya Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengya Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mengya Yang. A scholar is included among the top collaborators of Mengya Yang 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 Mengya Yang. Mengya Yang 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.
Meng, Lu, et al.. (2024). Journeys of transition: The impact of life-role transitions on tourist preferences for paradox destinations. Journal of Hospitality and Tourism Management. 61. 23–33. 4 indexed citations
2.
Meng, Lu, et al.. (2024). The effect of human versus virtual influencers: The roles of destination types and self-referencing processes. Tourism Management. 106. 104978–104978. 42 indexed citations breakdown →
3.
Yang, Mengya, et al.. (2024). Effects of customer inoculation on artificial intelligence service failure. International Journal of Contemporary Hospitality Management. 37(2). 444–461. 13 indexed citations
4.
Meng, Lu, et al.. (2024). Watching it motivates me to become stronger: Virtual influencers' impact on consumer self-improvement product preferences. Journal of Business Research. 178. 114654–114654. 24 indexed citations
5.
Yang, Mengya, et al.. (2023). An exploratory study on users' resistance to mobile app updates: Using netnography and fsQCA. Technological Forecasting and Social Change. 191. 122479–122479. 16 indexed citations
6.
Yang, Mengya, et al.. (2023). Application of an OFA strategy to ERAS in a 102-year-old patient undergoing colon cancer surgery: A case report. Medicine. 102(29). e34431–e34431. 2 indexed citations
7.
Zhang, Yu, Mengya Yang, & Ziling Zhang. (2022). Uncertainty of Artificial Intelligence Assistant: The Effect of Assistant Type on Variety Seeking. Frontiers in Psychology. 13. 904302–904302. 5 indexed citations
8.
Wang, Yue, et al.. (2022). KMnO4 modified biochar derived from swine manure for tetracycline removal. Water Practice & Technology. 17(11). 2422–2434. 7 indexed citations
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Wang, Jing, et al.. (2021). NITRIC OXIDE ASSOCIATED PROTEIN1 (AtNOA1) is necessary for copper-induced lateral root elongation in Arabidopsis thaliana. Environmental and Experimental Botany. 189. 104544–104544. 7 indexed citations
12.
Xue, Jintao, Shasha Yu, Jincai Wang, et al.. (2020). Network Pharmacological Screening of the Active Ingredients and Hypoglycemic Effect of Isodon rubescens in the Treatment of Diabetes. Planta Medica. 86(8). 556–564. 6 indexed citations
13.
Yang, Mengya, et al.. (2019). TaZFP1, a C2H2 type-ZFP gene of T. aestivum, mediates salt stress tolerance of plants by modulating diverse stress-defensive physiological processes. Plant Physiology and Biochemistry. 136. 127–142. 27 indexed citations
14.
Yang, Mengya, et al.. (2019). Flow effect and resonance effect: group emotional contagion in service failure encounters. 2(3). 217–232. 2 indexed citations
15.
Yang, Mengya, et al.. (2019). TaARR1, a cytokinin response regulator gene in Triticum aestivum, is essential in plant N starvation tolerance via regulating the N acquisition and N assimilation. Journal of Integrative Agriculture. 18(12). 2691–2702. 6 indexed citations
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Liu, Xinhe, et al.. (2018). Effects of Biogas Slurry Recirculation on Anaerobic Digestion Performance of Maize Straw Silage. AgEcon Search (University of Minnesota, USA). 10(12). 49–54. 1 indexed citations
18.
Peng, Ya, Jun Wang, Miao Zhang, et al.. (2016). Inactivation of Semicarbazide-Sensitive Amine Oxidase Stabilizes the Established Atherosclerotic Lesions via Inducing the Phenotypic Switch of Smooth Muscle Cells. PLoS ONE. 11(4). e0152758–e0152758. 8 indexed citations
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Yang, Mengya, et al.. (2016). Wheat nuclear factor Y (NF-Y) B subfamily gene TaNF-YB3;l confers critical drought tolerance through modulation of the ABA-associated signaling pathway. Plant Cell Tissue and Organ Culture (PCTOC). 128(1). 97–111. 43 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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