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.
Parallel Spectral Clustering in Distributed Systems
This map shows the geographic impact of Yangqiu Song'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 Yangqiu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangqiu Song more than expected).
This network shows the impact of papers produced by Yangqiu Song. 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 Yangqiu Song. The network helps show where Yangqiu Song may publish in the future.
Co-authorship network of co-authors of Yangqiu Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yangqiu Song.
A scholar is included among the top collaborators of Yangqiu Song 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 Yangqiu Song. Yangqiu Song is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dai, Hongliang, et al.. (2020). Exploiting Semantic Relations for Fine-grained Entity Typing. Rare & Special e-Zone (The Hong Kong University of Science and Technology).2 indexed citations
13.
Zhang, Ruixiang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, & Yangqiu Song. (2018). MetaGAN: an adversarial approach to few-shot learning. Cambridge University Engineering Department Publications Database. 31. 2371–2380.161 indexed citations
14.
Jiang, He, Yangqiu Song, Chenguang Wang, Ming Zhang, & Yizhou Sun. (2017). Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. e+i Elektrotechnik und Informationstechnik. 1944–1950.2 indexed citations
15.
Sammons, Mark, Haoruo Peng, Yangqiu Song, et al.. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Theory and applications of categories.9 indexed citations
16.
Song, Yangqiu, Shusen Wang, & Haixun Wang. (2015). Open domain short text conceptualization: a generative + descriptive modeling approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3820–3826.16 indexed citations
Song, Yangqiu, et al.. (2006). Graph Based Multi-Class Semi-Supervised Learning using Gaussian Process. Lecture notes in computer science.
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.