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.
This map shows the geographic impact of Yiming 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 Yiming Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiming Yang more than expected).
This network shows the impact of papers produced by Yiming 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 Yiming Yang. The network helps show where Yiming Yang may publish in the future.
Co-authorship network of co-authors of Yiming Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Yang.
A scholar is included among the top collaborators of Yiming Yang 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 Yiming Yang. Yiming Yang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Chang, Wei-Cheng, Hsiang‐Fu Yu, Kai Zhong, Yiming Yang, & Inderjit S. Dhillon. (2019). X-BERT: eXtreme Multi-label Text Classification with BERT. arXiv (Cornell University).5 indexed citations
11.
Chang, Wei-Cheng, Hsiang‐Fu Yu, Kai Zhong, Yiming Yang, & Inderjit S. Dhillon. (2019). A Modular Deep Learning Approach for Extreme Multi-label Text Classification.. arXiv (Cornell University).7 indexed citations
12.
Carbonell, Jaime, et al.. (2015). Modeling Event Extraction via Multilingual Data Sources.. Theory and applications of categories.3 indexed citations
13.
Lewis, David, Yiming Yang, Tony Rose, & Fan Li. (2004). RCV1: A New Benchmark Collection for Text Categorization Research. Journal of Machine Learning Research. 5. 361–397.1666 indexed citations breakdown →
14.
Yang, Yiming, et al.. (2004). Introducing the Enron Corpus..347 indexed citations
Yang, Yiming, et al.. (1994). TREC-3 Retrieval Evaluation Using Expert Network.. Text REtrieval Conference. 299–304.1 indexed citations
19.
Yang, Yiming. (1987). Combining prediction, syntactic analysis and semantic analysis in Chinese sentence analysis. International Joint Conference on Artificial Intelligence. 679–681.4 indexed citations
20.
Yang, Yiming, Shuji Doshita, & Toyoaki Nishida. (1985). Partial constraints in Chinese analysis. International Joint Conference on Artificial Intelligence. 826–828.2 indexed citations
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.