Yingce Xia
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Health Informatics top 0.5%
- Co-authors
- Tao QinTie‐Yan LiuHoifung PoonRenqian LuoSheng ZhangLijun WuNenghai YuFei Tian
- Topics
- Topic Modeling (24 papers)Natural Language Processing Techniques (22 papers)Multimodal Machine Learning Applications (13 papers)
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceGreen Chemistry
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yingce Xia
56 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 985
- Computer Vision and Pattern Recognition 383
- Molecular Biology 287
- Computational Theory and Mathematics 169
- Health Informatics 151
Countries citing papers authored by Yingce Xia
This map shows the geographic impact of Yingce Xia'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 Yingce Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingce Xia more than expected).
Fields of papers citing papers by Yingce Xia
This network shows the impact of papers produced by Yingce Xia. 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 Yingce Xia. The network helps show where Yingce Xia may publish in the future.
Co-authorship network of co-authors of Yingce Xia
This figure shows the co-authorship network connecting the top 25 collaborators of Yingce Xia. A scholar is included among the top collaborators of Yingce Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yingce Xia. Yingce Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 20 | |
| 3 | 28 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | Stylized Dialogue Generation with Multi-Pass Dual Learning | 11 |
| 9 | 18 | |
| 10 | 19 | |
| 11 | Unpaired Image-to-Image Translation with Domain Supervision. | 1 |
| 12 | 55 | |
| 13 | Model-Level Dual Learning | 22 |
| 14 | Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation | 52 |
| 15 | Adversarial Neural Machine Translation | 35 |
| 16 | Learning to Teach with Dynamic Loss Functions | 16 |
| 17 | Deliberation Networks: Sequence Generation Beyond One-Pass Decoding | 117 |
| 18 | Decoding with Value Networks for Neural Machine Translation | 30 |
| 19 | Efficient Algorithms with performance guarantees for the stochastic multiple-choice knapsack problem | 1 |
| 20 | Budgeted Bandit Problems with Continuous Random Costs | 9 |
About Yingce Xia
Yingce Xia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (22 papers) and Multimodal Machine Learning Applications (13 papers). The work is most often cited by research in Health Informatics (151 citations), Artificial Intelligence (985 citations) and Computer Vision and Pattern Recognition (383 citations). Yingce Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tao Qin, Tie‐Yan Liu, Hoifung Poon, Renqian Luo, Sheng Zhang, Lijun Wu, Tie‐Yan Liu, Nenghai Yu, Fei Tian and Shufang Xie. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and Green Chemistry.
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.