Mengmeng Hao

730 total citations
25 papers, 439 citations indexed

About

Mengmeng Hao is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Plant Science. According to data from OpenAlex, Mengmeng Hao has authored 25 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Plant Science. Recurrent topics in Mengmeng Hao's work include Viral Infections and Vectors (7 papers), Mosquito-borne diseases and control (5 papers) and Insect Pest Control Strategies (3 papers). Mengmeng Hao is often cited by papers focused on Viral Infections and Vectors (7 papers), Mosquito-borne diseases and control (5 papers) and Insect Pest Control Strategies (3 papers). Mengmeng Hao collaborates with scholars based in China, United Kingdom and Germany. Mengmeng Hao's co-authors include Dong Jiang, Fangyu Ding, Jingying Fu, Tian Ma, Canjun Zheng, Quansheng Ge, Di Wang, Ze Meng, Meng Li and Qian Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Mengmeng Hao

23 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mengmeng Hao China 13 91 81 67 59 59 25 439
Fangyu Ding China 16 166 1.8× 104 1.3× 107 1.6× 63 1.1× 74 1.3× 48 712
Tian Ma China 12 67 0.7× 71 0.9× 49 0.7× 33 0.6× 29 0.5× 42 326
David Pleydell France 16 108 1.2× 60 0.7× 57 0.9× 98 1.7× 68 1.2× 29 656
Luca Delucchi Italy 14 167 1.8× 116 1.4× 45 0.7× 12 0.2× 21 0.4× 24 620
Lílian Caesar Brazil 6 114 1.3× 70 0.9× 26 0.4× 11 0.2× 66 1.1× 14 351
Martin Lange Germany 16 69 0.8× 110 1.4× 57 0.9× 65 1.1× 15 0.3× 31 644
Lindsay M. Beck‐Johnson United States 7 297 3.3× 128 1.6× 34 0.5× 24 0.4× 35 0.6× 12 784
Zabihollah Charrahy Iran 10 313 3.4× 126 1.6× 76 1.1× 28 0.5× 37 0.6× 12 423
Erica Johnson United States 5 115 1.3× 57 0.7× 32 0.5× 25 0.4× 8 0.1× 7 332
Yuxuan Tang China 11 293 3.2× 48 0.6× 52 0.8× 16 0.3× 65 1.1× 44 567

Countries citing papers authored by Mengmeng Hao

Since Specialization
Citations

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

Fields of papers citing papers by Mengmeng Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengmeng Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Mengmeng Hao. A scholar is included among the top collaborators of Mengmeng Hao 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 Mengmeng Hao. Mengmeng Hao 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.
Hao, Mengmeng, et al.. (2025). A Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks. Big Data and Cognitive Computing. 9(3). 63–63.
2.
Liu, Zhaofei, et al.. (2025). Assessing evapotranspiration and single crop coefficients of common crops by eddy covariance measurement at multi-sites. European Journal of Agronomy. 170. 127762–127762.
3.
Wang, Qian, Tian Ma, Fangyu Ding, et al.. (2024). A systematic review of environmental covariates and methods for spatial or temporal scrub typhus distribution prediction. Environmental Research. 263(Pt 1). 120067–120067. 3 indexed citations
4.
Hao, Mengmeng, et al.. (2024). Assessing the impact of armed conflict on the progress of achieving 17 sustainable development goals. iScience. 27(12). 111331–111331. 5 indexed citations
5.
Tang, Tian, Hong‐Han Ge, Tian Ma, et al.. (2024). Global risk dynamics of Borrelia miyamotoi in the context of climate change. Environmental Microbiology. 26(10). e70000–e70000. 2 indexed citations
6.
Ding, Fangyu, Hong‐Han Ge, Tian Ma, et al.. (2023). Projecting spatiotemporal dynamics of severe fever with thrombocytopenia syndrome in the mainland of China. Global Change Biology. 29(23). 6647–6660. 6 indexed citations
7.
Ding, F., Qian Wang, Mengmeng Hao, et al.. (2022). Climate drives the spatiotemporal dynamics of scrub typhus in China. Global Change Biology. 28(22). 6618–6628. 23 indexed citations
8.
Ge, Quansheng, Mengmeng Hao, F. Ding, et al.. (2022). Modelling armed conflict risk under climate change with machine learning and time-series data. Nature Communications. 13(1). 2839–2839. 33 indexed citations
9.
Hao, Mengmeng, Owusu Fordjour Aidoo, Di Wang, et al.. (2022). Global potential distribution of Oryctes rhinoceros, as predicted by Boosted Regression Tree model. Global Ecology and Conservation. 37. e02175–e02175. 12 indexed citations
10.
Aidoo, Owusu Fordjour, Mengmeng Hao, Fangyu Ding, et al.. (2022). The Impact of Climate Change on Potential Invasion Risk of Oryctes monoceros Worldwide. Frontiers in Ecology and Evolution. 10. 10 indexed citations
11.
Ma, Tian, Mengmeng Hao, Shuai Chen, & Fangyu Ding. (2022). The current and future risk of spread of Leptotrombidium deliense and Leptotrombidium scutellare in mainland China. The Science of The Total Environment. 843. 156986–156986. 7 indexed citations
12.
Aidoo, Owusu Fordjour, Fangyu Ding, Tian Ma, et al.. (2022). Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables. Scientific Reports. 12(1). 17439–17439. 6 indexed citations
13.
Ma, Tian, Dong Jiang, Mengmeng Hao, et al.. (2021). Geographical Detector-based influence factors analysis for Echinococcosis prevalence in Tibet, China. PLoS neglected tropical diseases. 15(7). e0009547–e0009547. 14 indexed citations
14.
Zhang, Mingxu, Dong Jiang, Min Yang, et al.. (2021). Influence of the Environment on the Distribution and Quality of Gentiana dahurica Fisch.. Frontiers in Plant Science. 12. 706822–706822. 19 indexed citations
15.
Jiang, Dong, Tian Ma, Mengmeng Hao, et al.. (2020). Spatiotemporal patterns and spatial risk factors for visceral leishmaniasis from 2007 to 2017 in Western and Central China: A modelling analysis. The Science of The Total Environment. 764. 144275–144275. 22 indexed citations
16.
Li, Su, et al.. (2020). Site Selection of Digital Signage in Beijing: A Combination of Machine Learning and an Empirical Approach. ISPRS International Journal of Geo-Information. 9(4). 217–217. 10 indexed citations
17.
Ding, Fangyu, et al.. (2020). Mapping the Potential Global Distribution of Red Imported Fire Ant (Solenopsis invicta Buren) Based on a Machine Learning Method. Sustainability. 12(23). 10182–10182. 27 indexed citations
18.
Jiang, Dong, Mengmeng Hao, Fangyu Ding, Jingying Fu, & Meng Li. (2018). Mapping the transmission risk of Zika virus using machine learning models. Acta Tropica. 185. 391–399. 40 indexed citations
19.
Zheng, Canjun, Dong Jiang, Fangyu Ding, Jingying Fu, & Mengmeng Hao. (2018). Spatiotemporal Patterns and Risk Factors for Scrub Typhus From 2007 to 2017 in Southern China. Clinical Infectious Diseases. 69(7). 1205–1211. 46 indexed citations
20.
Ding, Fangyu, Quansheng Ge, Dong Jiang, Jingying Fu, & Mengmeng Hao. (2017). Understanding the dynamics of terrorism events with multiple-discipline datasets and machine learning approach. PLoS ONE. 12(6). e0179057–e0179057. 48 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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