Mingjian Jiang
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Chemical Synthesis and Analysis
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Computational Drug Discovery Methods 15
-
- Protein Structure and Dynamics 10
- Machine Learning in Bioinformatics 4
- Bioinformatics and Genomic Networks 3
- Co-authors
- Shugang Zhang (15 shared papers)Zhiqiang Wei (12 shared papers)Shuang Wang (10 shared papers)Zhen Li (9 shared papers)Xiaofeng Wang (7 shared papers)Zhen Li (5 shared papers)Qing Yuan (3 shared papers)Shuang Wang (1 shared paper)
- Journals
- IEEE Access (4 papers)Journal of Chemical Information and Modeling (3 papers)Applied Sciences (2 papers)RSC Advances (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- ChinaUnited KingdomBrazil
In The Last Decade
Mingjian Jiang
23 papers receiving 778 citations
Mingjian Jiang's Hit Papers
Peers
Comparison fields: 5 of 92
- Computational Theory and Mathematics 616
- Molecular Biology 555
- Materials Chemistry 308
- Biophysics 14
- Pharmacology 41
Countries citing papers authored by Mingjian Jiang
This map shows the geographic impact of Mingjian 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 Mingjian Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjian Jiang more than expected).
Fields of papers citing papers by Mingjian Jiang
This network shows the impact of papers produced by Mingjian 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 Mingjian Jiang. The network helps show where Mingjian Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjian 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 228 | |
| 2 | Deep learning methods for molecular representation and property prediction Hit paper breakdown → | 2022 | 145 |
| 3 | 2019 | 85 | |
| 4 | 2021 | 44 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 39 | |
| 7 | 2019 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2023 | 26 | |
| 10 | 2019 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2019 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2020 | 4 |
About Mingjian Jiang
Mingjian Jiang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Materials Chemistry, Artificial Intelligence and Spectroscopy, having authored 24 papers that have together received 796 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (10 papers), Machine Learning in Materials Science (9 papers), Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (3 papers), Analytical Chemistry and Chromatography (2 papers), Mineral Processing and Grinding (2 papers) and Metallurgical Processes and Thermodynamics (1 paper). The work is most often cited by research in Computational Theory and Mathematics (616 citations), Molecular Biology (555 citations), Materials Chemistry (308 citations), Biophysics (14 citations) and Pharmacology (41 citations). Mingjian Jiang has collaborated with scholars based in China, United Kingdom and Brazil. Frequent co-authors include Shugang Zhang, Zhiqiang Wei, Shuang Wang, Zhen Li, Xiaofeng Wang, Zhen Li, Qing Yuan, Shuang Wang, Zhen Li and Shuang Wang. Their work appears in journals such as IEEE Access, Journal of Chemical Information and Modeling, Applied Sciences, RSC Advances and Drug Discovery Today.
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.