Minghe Yu
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Data Quality and Management
Papers in
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- Advanced Graph Neural Networks 5
- Topic Modeling 5
- Intelligent Tutoring Systems and Adaptive Learning 4
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- Web Data Mining and Analysis 4
- Co-authors
- Guoliang Li (5 shared papers)Jianhua Feng (5 shared papers)Dong Deng (2 shared papers)Yurong Cheng (1 shared paper)Dapeng Zhang (1 shared paper)Ge Yu (10 shared papers)Zhiguo Gong (1 shared paper)Yong Zhang (1 shared paper)
In The Last Decade
Minghe Yu
17 papers receiving 210 citations
Peers
Comparison fields: 5 of 47
- Signal Processing 79
- Management Science and Operations Research 66
- Information Systems 72
- Artificial Intelligence 96
- Computer Networks and Communications 64
Countries citing papers authored by Minghe Yu
This map shows the geographic impact of Minghe Yu'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 Minghe Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghe Yu more than expected).
Fields of papers citing papers by Minghe Yu
This network shows the impact of papers produced by Minghe Yu. 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 Minghe Yu. The network helps show where Minghe Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghe Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 90 | |
| 2 | 2011 | 26 | |
| 3 | 2016 | 23 | |
| 4 | 2014 | 23 | |
| 5 | 2014 | 22 | |
| 6 | 2015 | 11 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2020 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2014 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2023 | 0 |
About Minghe Yu
Minghe Yu is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 21 papers that have together received 224 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (5 papers), Topic Modeling (5 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Data Quality and Management (4 papers), Web Data Mining and Analysis (4 papers), Data Management and Algorithms (3 papers), Online Learning and Analytics (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Signal Processing (79 citations), Management Science and Operations Research (66 citations), Information Systems (72 citations), Artificial Intelligence (96 citations) and Computer Networks and Communications (64 citations). Minghe Yu has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Guoliang Li, Jianhua Feng, Dong Deng, Yurong Cheng, Dapeng Zhang, Ge Yu, Zhiguo Gong, Yong Zhang, Jin Wang and Ting Wang. Their work appears in journals such as Frontiers of Computer Science, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, The VLDB Journal and Journal of Advanced Transportation.
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.