Mingyun Gu

2.7k total citations · 1 hit paper
10 papers, 1.9k citations indexed

About

Mingyun Gu is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Communication. According to data from OpenAlex, Mingyun Gu has authored 10 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Communication. Recurrent topics in Mingyun Gu's work include Vehicle Routing Optimization Methods (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Mingyun Gu is often cited by papers focused on Vehicle Routing Optimization Methods (3 papers), Advanced Manufacturing and Logistics Optimization (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). Mingyun Gu collaborates with scholars based in China, United States and Hong Kong. Mingyun Gu's co-authors include Haixiang Guo, Yijing Li, Jennifer Shang, Bing Gong, Linfei Chen, Yuying Yang, Xiaoling Ke, Xiao Liu, Jianying Yang and Qingpeng Zhang and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and International Journal of Environmental Research and Public Health.

In The Last Decade

Mingyun Gu

10 papers receiving 1.9k citations

Hit Papers

Learning from class-imbalanced data: Review of methods an... 2016 2026 2019 2022 2016 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingyun Gu China 8 1.1k 320 165 164 150 10 1.9k
Bing Gong China 16 1.1k 1.0× 671 2.1× 164 1.0× 168 1.0× 151 1.0× 66 2.5k
Wei‐Chao Lin Taiwan 21 1.3k 1.1× 407 1.3× 160 1.0× 207 1.3× 237 1.6× 52 2.4k
John Hancock United States 16 776 0.7× 228 0.7× 88 0.5× 149 0.9× 142 0.9× 50 2.0k
Chi-Jie Lu Taiwan 30 796 0.7× 496 1.6× 269 1.6× 110 0.7× 126 0.8× 102 3.0k
Firuz Kamalov United Arab Emirates 21 826 0.7× 241 0.8× 64 0.4× 275 1.7× 113 0.8× 89 2.2k
Ahmad B. Hassanat Jordan 22 704 0.6× 272 0.8× 93 0.6× 178 1.1× 78 0.5× 85 2.0k
Der‐Chiang Li Taiwan 27 900 0.8× 358 1.1× 59 0.4× 135 0.8× 107 0.7× 122 2.5k
Rafael Bello Cuba 25 1.3k 1.2× 242 0.8× 65 0.4× 225 1.4× 58 0.4× 148 2.5k
Ibomoiye Domor Mienye South Africa 22 1.0k 0.9× 228 0.7× 236 1.4× 156 1.0× 416 2.8× 41 2.2k
Yanmin Sun Canada 7 1.7k 1.5× 473 1.5× 191 1.2× 300 1.8× 177 1.2× 10 2.5k

Countries citing papers authored by Mingyun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Mingyun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyun Gu

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

All Works

10 of 10 papers shown
1.
Gu, Mingyun, et al.. (2022). Social Media User Behavior and Emotions during Crisis Events. International Journal of Environmental Research and Public Health. 19(9). 5197–5197. 18 indexed citations
2.
Wan, Fang, et al.. (2021). Multi-objective Emergency Scheduling for Geological Disasters. Natural Hazards. 105(2). 1323–1358. 5 indexed citations
3.
Gu, Mingyun, Haixiang Guo, & Jun Zhuang. (2021). Social Media Behavior and Emotional Evolution during Emergency Events. Healthcare. 9(9). 1109–1109. 9 indexed citations
4.
Wan, Fang, et al.. (2021). A scheduling and planning method for geological disasters. Applied Soft Computing. 111. 107712–107712. 13 indexed citations
6.
Yang, Yuying, et al.. (2020). Multiattribute decision making for the assessment of disaster resilience in the Three Gorges Reservoir Area. Ecology and Society. 25(2). 23 indexed citations
7.
Guo, Haixiang, et al.. (2020). Period sewage recycling vehicle routing problem based on real-time data. Journal of Cleaner Production. 288. 125628–125628. 7 indexed citations
8.
Yang, Yuying, Haixiang Guo, Linfei Chen, et al.. (2019). Regional analysis of the green development level differences in Chinese mineral resource-based cities. Resources Policy. 61. 261–272. 158 indexed citations
9.
Li, Yijing, Haixiang Guo, Qingpeng Zhang, Mingyun Gu, & Jianying Yang. (2018). Imbalanced text sentiment classification using universal and domain-specific knowledge. Knowledge-Based Systems. 160. 1–15. 70 indexed citations
10.
Guo, Haixiang, et al.. (2016). Learning from class-imbalanced data: Review of methods and applications. Expert Systems with Applications. 73. 220–239. 1595 indexed citations breakdown →

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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