Yuan Jiang
Impact in
- Artificial Intelligence top 1%
- Text and Document Classification Technologies
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- Face and Expression Recognition
Papers in
- Biomaterials 23
- Calcium Carbonate Crystallization and Inhibition 16
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- Machine Learning and Data Classification 12
- Machine Learning and Algorithms 12
- Text and Document Classification Technologies 10
- Co-authors
- Zhi‐Hua ZhouPaul S. MeltzerShao-Yuan LiShifu ChenXu FengPaul M. YenChangqing ZhuGerald Gooden
- Journals
- Langmuir (5 papers)RSC Advances (4 papers)Nanotechnology (4 papers)The Journal of Physical Chemistry C (3 papers)Journal of Colloid and Interface Science (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuan Jiang
221 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Artificial Intelligence 923
- Computer Vision and Pattern Recognition 586
- Computational Mathematics 15
- Molecular Biology 1.7k
- Biomaterials 295
Countries citing papers authored by Yuan Jiang
This map shows the geographic impact of Yuan 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 Yuan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Jiang more than expected).
Fields of papers citing papers by Yuan Jiang
This network shows the impact of papers produced by Yuan 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 Yuan Jiang. The network helps show where Yuan Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuan 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 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 17 | |
| 9 | 2022 | 25 | |
| 10 | 2021 | 22 | |
| 11 | Fast Abductive Learning by Similarity-based Consistency Optimization | 2021 | 11 |
| 12 | 2020 | 7 | |
| 13 | Learning with Feature and Distribution Evolvable Streams | 2020 | 13 |
| 14 | Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data | 2020 | 51 |
| 15 | 2017 | 77 | |
| 16 | 2017 | 40 | |
| 17 | 2013 | 204 | |
| 18 | 2013 | 3 | |
| 19 | Multi-instance multi-label learning with weak label | 2013 | 29 |
| 20 | [Determination of metabolites of nitrofuran antibiotics in royal jelly by high performance liquid chromatography-tandem mass spectrometry]. | 2006 | 1 |
About Yuan Jiang
Yuan Jiang is a scholar working on Biomaterials, Artificial Intelligence, Paleontology, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 231 papers that have together received 5.8k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (16 papers), Machine Learning and Data Classification (12 papers), Machine Learning and Algorithms (12 papers), Antifungal resistance and susceptibility (12 papers), Quantum Dots Synthesis And Properties (11 papers), Nanocluster Synthesis and Applications (10 papers), Text and Document Classification Technologies (10 papers) and Bone Tissue Engineering Materials (10 papers). The work is most often cited by research in Artificial Intelligence (923 citations), Computer Vision and Pattern Recognition (586 citations), Computational Mathematics (15 citations), Molecular Biology (1.7k citations) and Biomaterials (295 citations). Yuan Jiang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhi‐Hua Zhou, Paul S. Meltzer, Shao-Yuan Li, Shifu Chen, Xu Feng, Paul M. Yen, Changqing Zhu, Gerald Gooden, Yu-Bin Yang and De‐Chuan Zhan. Their work appears in journals such as Langmuir, RSC Advances, Nanotechnology, The Journal of Physical Chemistry C and Journal of Colloid and Interface Science.
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.