Meiyan Gao

508 total citations · 1 hit paper
12 papers, 321 citations indexed

About

Meiyan Gao is a scholar working on Water Science and Technology, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Meiyan Gao has authored 12 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Water Science and Technology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Environmental Engineering. Recurrent topics in Meiyan Gao's work include Vehicle License Plate Recognition (2 papers), Flood Risk Assessment and Management (2 papers) and Sustainability and Ecological Systems Analysis (2 papers). Meiyan Gao is often cited by papers focused on Vehicle License Plate Recognition (2 papers), Flood Risk Assessment and Management (2 papers) and Sustainability and Ecological Systems Analysis (2 papers). Meiyan Gao collaborates with scholars based in China, United States and United Kingdom. Meiyan Gao's co-authors include Haibo Yang, Fei Chen, Huihui Hu, Zongmin Wang, Bolin Huang, Hongshi Xu, Zongmin Wang, Dan Zhang, Qiuhua Liang and Denghua Yan and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Remote Sensing and Ecological Indicators.

In The Last Decade

Meiyan Gao

12 papers receiving 316 citations

Hit Papers

A Review of Remote Sensing for Water Quality Retrieval: P... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiyan Gao China 7 157 80 72 72 71 12 321
Farzane Mohseni Iran 12 59 0.4× 76 0.9× 87 1.2× 96 1.3× 20 0.3× 15 303
Sarigai Sarigai United States 4 74 0.5× 98 1.2× 18 0.3× 72 1.0× 33 0.5× 5 250
Yonghua Sun China 10 73 0.5× 168 2.1× 41 0.6× 101 1.4× 29 0.4× 38 366
Mengmeng Cao China 9 49 0.3× 105 1.3× 64 0.9× 89 1.2× 14 0.2× 22 286
Jejung Lee United States 9 35 0.2× 75 0.9× 21 0.3× 67 0.9× 43 0.6× 18 219
TaeHo Kim South Korea 8 134 0.9× 37 0.5× 58 0.8× 100 1.4× 68 1.0× 13 292
M. Wahl United States 8 101 0.6× 70 0.9× 5 0.1× 65 0.9× 64 0.9× 23 222
Africa I. Flores-Anderson United States 7 41 0.3× 100 1.3× 16 0.2× 50 0.7× 20 0.3× 11 219

Countries citing papers authored by Meiyan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Meiyan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiyan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiyan Gao. A scholar is included among the top collaborators of Meiyan Gao 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 Meiyan Gao. Meiyan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Gao, Meiyan, et al.. (2025). Real-Time Traffic Sign Recognition Based on Threshold Segmentation and Neural Networks. 80–87. 1 indexed citations
2.
Zhang, Dan, et al.. (2024). Skin Cancer Detection Based on Machine Learning. 3(2). 72–86. 3 indexed citations
3.
Hussain, Zafar, Zongmin Wang, Haibo Yang, et al.. (2024). CORDEX Ensemble-based drought projections for Sindh Province of Pakistan under climate change. Journal of Water and Climate Change. 15(11). 5501–5517. 2 indexed citations
4.
Gao, Meiyan, et al.. (2023). Research and Implementation of Traffic Sign Recognition Algorithm Model Based on Machine Learning. Journal of Software Engineering and Applications. 16(6). 193–210. 9 indexed citations
5.
Gao, Meiyan, et al.. (2023). Fuzzy Controller-Based Design and Simulation of an Automatic Parking System. Journal of Software Engineering and Applications. 16(9). 505–520. 4 indexed citations
6.
Gao, Meiyan, et al.. (2023). Research and Implementation of Cancer Gene Data Classification Based on Deep Learning. Journal of Software Engineering and Applications. 16(6). 155–169. 9 indexed citations
7.
Zhang, Dan, et al.. (2023). Breast Cancer Prediction Based on Machine Learning. Journal of Software Engineering and Applications. 16(8). 348–360. 13 indexed citations
8.
Gao, Meiyan, Zongmin Wang, & Haibo Yang. (2022). Review of Urban Flood Resilience: Insights from Scientometric and Systematic Analysis. International Journal of Environmental Research and Public Health. 19(14). 8837–8837. 36 indexed citations
9.
Wang, Zongmin, et al.. (2022). Parameter Optimization of SWMM Model Using Integrated Morris and GLUE Methods. Water. 15(1). 149–149. 16 indexed citations
10.
Yang, Haibo, et al.. (2022). A Review of Remote Sensing for Water Quality Retrieval: Progress and Challenges. Remote Sensing. 14(8). 1770–1770. 216 indexed citations breakdown →
11.
Gao, Meiyan, et al.. (2022). Emergy evaluation of positive and negative benefits of agricultural water use based on energy analysis of water cycle. Ecological Indicators. 139. 108914–108914. 7 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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