Xingcheng Yao

2.5k total citations · 1 hit paper
3 papers, 1.4k citations indexed

About

Xingcheng Yao is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Xingcheng Yao has authored 3 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Xingcheng Yao's work include Recommender Systems and Techniques (1 paper), Complex Network Analysis Techniques (1 paper) and Biosensors and Analytical Detection (1 paper). Xingcheng Yao is often cited by papers focused on Recommender Systems and Techniques (1 paper), Complex Network Analysis Techniques (1 paper) and Biosensors and Analytical Detection (1 paper). Xingcheng Yao collaborates with scholars based in China, United States and Germany. Xingcheng Yao's co-authors include Tianyu Gao, Danqi Chen, Yukuo Cen, Aohan Zeng, Yuxiao Dong, Guohao Dai, Zhenyu Hou, Qibin Chen, Chang Zhou and Hongxia Yang and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Xingcheng Yao

3 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SimCSE: Simple Contrastive Learning of Sentence Embeddings

2021 1.4k citations Tianyu Gao, Xingcheng Yao et al. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing profile →

Peers

Countries citing papers authored by Xingcheng Yao

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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3 of 3 papers shown

#	Work	Indexed citations
1	CogDL: A Comprehensive Library for Graph Deep Learning 2023 ·Yukuo Cen, Zhenyu Hou, (unknown), Qibin Chen, Yizhen Luo, (unknown), Hengrui Zhang, Xingcheng Yao, Aohan Zeng, (unknown), Yuxiao Dong, (unknown), (unknown), Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang	9
2	SOAER: Self-Obstacle Avoiding Escape Routing for Paper-Based Digital Microfluidic Biochips 2023 ·Weiqing Ji, Xingcheng Yao, Hailong Yao, Tsung-Yi Ho, Ulf Schlichtmann, (unknown)	1
3	SimCSE: Simple Contrastive Learning of Sentence Embeddings breakdown → 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Tianyu Gao, Xingcheng Yao, Danqi Chen	1407

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.

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