Mingyun Gu

2.8k citations
10 papers · 2.0k · 1 hit paper · h-index 8

Impact in

    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Text and Document Classification Technologies
    • Machine Learning and Data Classification
    • Artificial Intelligence in Healthcare

Papers in

Mingyun Gu

10 papers receiving 2.0k citations

Mingyun Gu's Hit Papers

Learning from class-imbalanced data: Review of methods and applications 2016 · 1.7k citations
1.7k0+3+6Years since publication50010001.5k

Peers

Mingyun Gu
Comparison fields: 5 of 156
  • Artificial Intelligence 1.1k
  • Health Information Management 145
  • Accounting 167
  • Media Technology 91
  • Health Informatics 13
Replace John Hancock with:
John Hancock United States
Yanmin Sun Canada
Zhihua Zhou China
Ahmad B. Hassanat Jordan
Victoria López Spain
Rafael Bello Cuba
Der‐Chiang Li Taiwan
Paula Branco Canada
Vicente García Mexico
Mingyun Gu relative to John Hancock United States John Hancock's profile →
Citations per field
00.5×10×20×26.3×
John Hancock · 1×
Citations per year

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-authors

The 15 scholars most cited alongside Mingyun Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingyun Gu Line = papers co-authored together Mingyun Gu links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Learning from class-imbalanced data: Review of methods and applications
Hit paper breakdown →
20161654
2 2019159
3 201872
4 202152
5 202026
6 202220
7 202113
8 202110
9 20207
10 20216

About Mingyun Gu

Mingyun Gu is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Communication, Statistical and Nonlinear Physics and Building and Construction, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Facility Location and Emergency Management (2 papers), Public Relations and Crisis Communication (2 papers), Advanced Manufacturing and Logistics Optimization (2 papers), Imbalanced Data Classification Techniques (1 paper), Electricity Theft Detection Techniques (1 paper) and Environmental Impact and Sustainability (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Information Management (145 citations), Accounting (167 citations), Media Technology (91 citations) and Health Informatics (13 citations). Mingyun Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yijing Li, Jennifer Shang, Haixiang Guo, Linfei Chen, Yuying Yang, Xiao Liu, Xiaoling Ke, Jianying Yang, Qingpeng Zhang and Zhili Zuo. Their work appears in journals such as Journal of Cleaner Production, International Journal of Environmental Research and Public Health, Knowledge-Based Systems, Resources Policy and Natural Hazards.

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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