Enneng Yang
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
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- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Stochastic Gradient Optimization Techniques
Papers in
-
- Recommender Systems and Techniques 21
-
- Domain Adaptation and Few-Shot Learning 12
- Topic Modeling 2
- Data Stream Mining Techniques 2
- Neural Networks and Applications 1
- Machine Learning in Healthcare 1
- Co-authors
- Guibing Guo (32 shared papers)Li Shen (9 shared papers)Xingwei Wang (19 shared papers)Heng Huang (1 shared paper)Xiaoxiao Xu (2 shared papers)Junwei Pan (1 shared paper)Haibin Yu (1 shared paper)Xihua Chen (1 shared paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)ACM Transactions on Information Systems (3 papers)IEEE Transactions on Knowledge and Data Engineering (2 papers)ACM Transactions on Knowledge Discovery from Data (2 papers)ACM Computing Surveys (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Enneng Yang
24 papers receiving 227 citations
Peers
Comparison fields: 5 of 29
- Information Systems 142
- Artificial Intelligence 67
- Computer Vision and Pattern Recognition 15
- Health Informatics 1
- Signal Processing 3
Countries citing papers authored by Enneng Yang
This map shows the geographic impact of Enneng Yang'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 Enneng Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enneng Yang more than expected).
Fields of papers citing papers by Enneng Yang
This network shows the impact of papers produced by Enneng Yang. 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 Enneng Yang. The network helps show where Enneng Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Enneng Yang, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2023 | 44 | |
| 3 | 2024 | 40 | |
| 4 | 2019 | 15 | |
| 5 | 2023 | 11 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 5 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2026 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Enneng Yang
Enneng Yang is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 34 papers that have together received 234 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (21 papers), Domain Adaptation and Few-Shot Learning (12 papers), Topic Modeling (2 papers), Data Stream Mining Techniques (2 papers), Neural Networks and Applications (1 paper), Multimodal Machine Learning Applications (1 paper), Machine Learning in Healthcare (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Information Systems (142 citations), Artificial Intelligence (67 citations), Computer Vision and Pattern Recognition (15 citations), Health Informatics (1 citation) and Signal Processing (3 citations). Enneng Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guibing Guo, Li Shen, Xingwei Wang, Heng Huang, Xiaoxiao Xu, Junwei Pan, Haibin Yu, Xihua Chen, Lei Xiao and Jie Jiang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Information Systems, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data and ACM Computing Surveys.
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.