Xingcheng Yao
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Signal Processing top 10%
- Molecular Biology
- Topics
- Recommender Systems and Techniques (1 paper)Complex Network Analysis Techniques (1 paper)Biosensors and Analytical Detection (1 paper)
- Journals
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xingcheng Yao
3 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 322
- Information Systems 223
- Signal Processing 77
- Molecular Biology 63
Countries citing papers authored by Xingcheng Yao
This map shows the geographic impact of Xingcheng Yao'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 Xingcheng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingcheng Yao more than expected).
Fields of papers citing papers by Xingcheng Yao
This network shows the impact of papers produced by Xingcheng Yao. 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 Xingcheng Yao. The network helps show where Xingcheng Yao may publish in the future.
Co-authorship network of co-authors of Xingcheng Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Xingcheng Yao. A scholar is included among the top collaborators of Xingcheng Yao 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 Xingcheng Yao. Xingcheng Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | SimCSE: Simple Contrastive Learning of Sentence Embeddingsbreakdown → | 1407 |
About Xingcheng Yao
Xingcheng Yao is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Information Systems, having authored 3 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (1 paper), Complex Network Analysis Techniques (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (322 citations) and Information Systems (223 citations). Xingcheng Yao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tianyu Gao, Danqi Chen, Yukuo Cen, Aohan Zeng, Yuxiao Dong, Guohao Dai, Zhenyu Hou, Qibin Chen, Chang Zhou and Hongxia Yang. Their work appears in journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.