Yunliang Jiang
- Artificial Intelligence top 2%
- Advanced Graph Neural Networks 9
- Advanced Computational Techniques and Applications 6
- Neural Networks and Applications 6
- Information Systems top 2%
- Recommender Systems and Techniques 11
- Data Mining Algorithms and Applications 6
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- Rough Sets and Fuzzy Logic 14
- Media Technology top 5%
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- Robotic Mechanisms and Dynamics 7
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- Multi-Criteria Decision Making 6
- Journals
- Expert Systems with Applications (7 papers)Neurocomputing (5 papers)Abstract and Applied Analysis (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yunliang Jiang
113 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 503
- Artificial Intelligence 497
- Information Systems 342
- Computational Theory and Mathematics 198
- Media Technology 104
Countries citing papers authored by Yunliang Jiang
This map shows the geographic impact of Yunliang 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 Yunliang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunliang Jiang more than expected).
Fields of papers citing papers by Yunliang Jiang
This network shows the impact of papers produced by Yunliang 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 Yunliang Jiang. The network helps show where Yunliang Jiang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yunliang 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversationbreakdown → | 2025 | 17 |
| 4 | 2025 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 26 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 22 | |
| 13 | Extended Feature Pyramid Network for Small Object Detectionbreakdown → | 2021 | 320 |
| 14 | 2021 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2018 | 1 | |
| 17 | 2014 | 26 | |
| 18 | 2014 | 18 | |
| 19 | Context Comparison of Bursty Events in Web Search and Online Media | 2010 | 4 |
| 20 | A New Fuzzy Nonlinear PID Controller | 2004 | 1 |
About Yunliang Jiang
Yunliang Jiang is a scholar working on Software, Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 125 papers that have together received 1.6k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (14 papers), Recommender Systems and Techniques (11 papers), Advanced Graph Neural Networks (9 papers), Robotic Mechanisms and Dynamics (7 papers), Multi-Criteria Decision Making (6 papers), Data Mining Algorithms and Applications (6 papers), Advanced Computational Techniques and Applications (6 papers) and Neural Networks and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (503 citations), Artificial Intelligence (497 citations), Information Systems (342 citations), Computational Theory and Mathematics (198 citations) and Media Technology (104 citations). Yunliang Jiang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Liu, Jungang Lou, Mengmeng Wang, Liang Liu, Ruiqin Wang, Qing Shen, Zhiyong Zeng, Changqin Huang, Xiaohua Chen and Congfu Xu. Their work appears in journals such as Expert Systems with Applications, Neurocomputing, Abstract and Applied Analysis, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.
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.