Minghao Chen

974 citations
13 papers · 545 · h-index 8

Impact in

    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Domain Adaptation and Few-Shot Learning
    • Anomaly Detection Techniques and Applications

Papers in

Minghao Chen

13 papers receiving 535 citations

Peers

Minghao Chen
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 372
  • Artificial Intelligence 340
  • Radiology, Nuclear Medicine and Imaging 71
  • Media Technology 25
  • Computational Theory and Mathematics 33
Replace Haifeng Xia with:
Haifeng Xia United States
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Minghao Xu China
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Citations per field
00.5×3.3×
Haifeng Xia · 1×
Citations per year

Countries citing papers authored by Minghao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Minghao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minghao Chen, 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 Minghao Chen Line = papers co-authored together Minghao Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2019199
2 2020113
3 202388
4 202162
5 201828
6 202219
7 202018
8 20197
9 20215
10 20212
11 20212
12 20241
13 20221

About Minghao Chen

Minghao Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Computational Theory and Mathematics, having authored 13 papers that have together received 545 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Multi-Criteria Decision Making (2 papers), Multimodal Machine Learning Applications (2 papers), Human Pose and Action Recognition (2 papers), Advanced Graph Neural Networks (2 papers), Rough Sets and Fuzzy Logic (2 papers) and Network Traffic and Congestion Control (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Artificial Intelligence (340 citations), Radiology, Nuclear Medicine and Imaging (71 citations), Media Technology (25 citations) and Computational Theory and Mathematics (33 citations). Minghao Chen has collaborated with scholars based in China, Australia and South Sudan. Frequent co-authors include Deng Cai, Hongyang Xue, Shuai Zhao, Xuelong Li, Haifeng Liu, Xiaofei He, Binbin Lin, Wenxiao Wang, Ke Li and Boxi Wu. Their work appears in journals such as International Journal of Approximate Reasoning, Journal of Intelligent & Fuzzy Systems, IEEE Transactions on Communications, IEEE Transactions on Image Processing and IEEE Transactions on Green Communications and Networking.

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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