Xuancheng Ren
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Topics
- Topic Modeling (21 papers)Natural Language Processing Techniques (17 papers)Multimodal Machine Learning Applications (16 papers)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Xuancheng Ren
39 papers receiving 707 citations
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 553
- Computer Vision and Pattern Recognition 282
- Information Systems 52
- Signal Processing 48
- Computer Networks and Communications 32
Countries citing papers authored by Xuancheng Ren
This map shows the geographic impact of Xuancheng Ren'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 Xuancheng Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuancheng Ren more than expected).
Fields of papers citing papers by Xuancheng Ren
This network shows the impact of papers produced by Xuancheng Ren. 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 Xuancheng Ren. The network helps show where Xuancheng Ren may publish in the future.
Co-authorship network of co-authors of Xuancheng Ren
This figure shows the co-authorship network connecting the top 25 collaborators of Xuancheng Ren. A scholar is included among the top collaborators of Xuancheng Ren 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 Xuancheng Ren. Xuancheng Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 61 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | Prophet Attention: Predicting Attention with Future Attention | 17 |
| 9 | 43 | |
| 10 | Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning. | 1 |
| 11 | 20 | |
| 12 | Deconvolution-Based Global Decoding for Neural Machine Translation | 3 |
| 13 | Building an Ellipsis-aware Chinese Dependency Treebank for Web Text | 1 |
| 14 | 40 | |
| 15 | Word Embedding Attention Network: Generating Words by Querying Distributed Word Representations for Paraphrase Generation | 2 |
| 16 | 82 | |
| 17 | 46 | |
| 18 | 23 | |
| 19 | 102 | |
| 20 | meProp: sparsified back propagation for accelerated deep learning with reduced overfitting | 23 |
About Xuancheng Ren
Xuancheng Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 41 papers that have together received 739 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Multimodal Machine Learning Applications (16 papers). The work is most often cited by research in Artificial Intelligence (553 citations), Computer Vision and Pattern Recognition (282 citations) and Computational Mathematics (3 citations). Xuancheng Ren has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Xu Sun, Jingjing Xu, Junyang Lin, Houfeng Wang, Fenglin Liu, Qi Zeng, Shuming Ma, Wenjie Li, Bin He and Xiaodong Zhang. Their work appears in journals such as Information Sciences, Remote Sensing and Neurocomputing.
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.