Minghu Jiang
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Advanced Text Analysis Techniques 10
- Neural Networks and Applications 10
- Text and Document Classification Technologies 10
- Advanced Computational Techniques and Applications 8
- Topic Modeling 7
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- Reading and Literacy Development 9
- Co-authors
- Yi LuoShiyuan YangLin WangJuxiang HuangYing SunXiguang ZhengStefan WölflHong Lin
- Journals
- Cell Biochemistry and Biophysics (5 papers)Knowledge-Based Systems (3 papers)Language Cognition and Neuroscience (3 papers)Frontiers in Human Neuroscience (3 papers)Journal of Cellular Biochemistry (2 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Minghu Jiang
78 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Computational Theory and Mathematics 173
- Cancer Research 156
- Artificial Intelligence 323
- Oncology 192
- Molecular Biology 400
Countries citing papers authored by Minghu Jiang
This map shows the geographic impact of Minghu Jiang'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 Minghu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghu Jiang more than expected).
Fields of papers citing papers by Minghu Jiang
This network shows the impact of papers produced by Minghu Jiang. 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 Minghu Jiang. The network helps show where Minghu Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minghu Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2015 | 3 | |
| 11 | 2014 | 4 | |
| 12 | 2014 | 10 | |
| 13 | 2014 | 16 | |
| 14 | A Novel Classifier Based on Quantum Computation | 2013 | 7 |
| 15 | 2013 | 12 | |
| 16 | 2012 | 12 | |
| 17 | 2010 | 23 | |
| 18 | 2009 | 32 | |
| 19 | Braille translation based on multi-knowledge | 2000 | 2 |
| 20 | 1999 | 0 |
About Minghu Jiang
Minghu Jiang is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Human-Computer Interaction, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (12 papers), Bioinformatics and Genomic Networks (11 papers), Advanced Text Analysis Techniques (10 papers), Neural Networks and Applications (10 papers), Text and Document Classification Technologies (10 papers), Reading and Literacy Development (9 papers), Advanced Computational Techniques and Applications (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computational Theory and Mathematics (173 citations), Cancer Research (156 citations), Artificial Intelligence (323 citations), Oncology (192 citations) and Molecular Biology (400 citations). Minghu Jiang has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Yi Luo, Shiyuan Yang, Lin Wang, Juxiang Huang, Ying Sun, Xiguang Zheng, Stefan Wölfl, Hong Lin, Yifan He and Georges Gielen. Their work appears in journals such as Cell Biochemistry and Biophysics, Knowledge-Based Systems, Language Cognition and Neuroscience, Frontiers in Human Neuroscience and Journal of Cellular Biochemistry.
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.