Minghu Jiang
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Computational Drug Discovery Methods
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
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- Advanced Text Analysis Techniques 10
- Text and Document Classification Technologies 10
- Neural Networks and Applications 10
- Advanced Computational Techniques and Applications 8
- Topic Modeling 6
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- Bioinformatics and Genomic Networks 11
- Co-authors
- Shiyuan Yang (1 shared paper)Yi Luo (1 shared paper)Lin Wang (27 shared papers)Juxiang Huang (24 shared papers)Ying Sun (3 shared papers)Xiguang Zheng (2 shared papers)Stefan Wölfl (4 shared papers)Hong Lin (3 shared papers)
In The Last Decade
Minghu Jiang
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 131
- Computational Theory and Mathematics 174
- Artificial Intelligence 325
- Cancer Research 136
- Oncology 171
- Cell Biology 86
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-authors
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
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 366 | |
| 2 | 2009 | 46 | |
| 3 | 2011 | 41 | |
| 4 | 2009 | 40 | |
| 5 | 2010 | 39 | |
| 6 | 2011 | 37 | |
| 7 | 2010 | 35 | |
| 8 | 2009 | 32 | |
| 9 | 2006 | 30 | |
| 10 | 2012 | 29 | |
| 11 | 2010 | 25 | |
| 12 | 2010 | 24 | |
| 13 | 2011 | 21 | |
| 14 | 2012 | 20 | |
| 15 | 2014 | 16 | |
| 16 | 2002 | 16 | |
| 17 | 2012 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2016 | 14 | |
| 20 | 2021 | 13 |
About Minghu Jiang
Minghu Jiang is a scholar working on Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, Developmental and Educational Psychology and Computational Theory and Mathematics, having authored 89 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), Text and Document Classification Technologies (10 papers), Neural Networks and Applications (10 papers), Reading and Literacy Development (9 papers), Advanced Computational Techniques and Applications (8 papers) and Topic Modeling (6 papers). The work is most often cited by research in Computational Theory and Mathematics (174 citations), Artificial Intelligence (325 citations), Cancer Research (136 citations), Oncology (171 citations) and Cell Biology (86 citations). Minghu Jiang has collaborated with scholars based in China, Belgium and Germany. Frequent co-authors include Shiyuan Yang, Yi Luo, 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, Language Cognition and Neuroscience, Frontiers in Human Neuroscience, Applied Intelligence 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.