39 citations · 101 across the 14 of their papers we have counts for
15 papers
Measuring the Novelty of Biomedical Papers Using the Latent Distances between Knowledge Units
Yi Zhao, Heng Zhang, Yuzhuo Wang +3
Measuring the novelty of scientific papers is a central concern in research evaluation and scientometrics. From a recombination perspective, prior studies have largely focused on t…
Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach
Tong Bao, Yi Zhao, Heng Zhang +1
Scientific named entity recognition (SciNER) plays a crucial role in information extraction and knowledge discovery from scientific texts. Recently, large language models (LLMs) ha…
Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities
Ziling Chen, Chengzhi Zhang, Heng Zhang +3
The composition of author teams is an important factor influencing the novelty of academic papers. However, existing studies have paid limited attention to the role of institutiona…
Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective
Heng Zhang, Chengzhi Zhang, Yuzhuo Wang
Most studies on technology development have been conducted from a thematic perspective, but the topics are coarse-grained and insufficient to accurately represent technology. The d…
Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance
Yi Zhao, Yuzhuo Wang, Heng Zhang +4
Thought leadership plays a crucial role in boosting team performance; thus, teams with more thought leaders may perform better. However, the impact of the number of thought leaders…
Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing
Haochuan Li, Jingyuan Li, Yi Zhao +4
With the rapid growth of the number of academic papers, systematically evaluating the difficulty of research and its relationship to academic impact offers important significance f…
Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning
Yi Xiang, Chengzhi Zhang, Heng Zhang
Highlights provide a concise summary of the main contributions of an academic paper and help readers quickly understand its focus. However, many journals do not provide highlights,…
Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact
Yi Zhao, Yang Chenggang, Yuzhuo Wang +3
Scientific novelty drives advances at the research frontier, yet it is also associated with heightened uncertainty and potential resistance from incumbent paradigms, leading to com…
Enhancing Academic Paper Recommendations Using Fine-Grained Knowledge Entities and Multifaceted Document Embeddings
Haixu Xi, Heng Zhang, Chengzhi Zhang
In the era of explosive growth in academic literature, the burden of literature review on scholars are increasing. Proactively recommending academic papers that align with scholars…
The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective
Yi Zhao, Yongjun Zhu, Donghun Kim +4
The influence of gender diversity on the success of scientific teams is of great interest to academia. However, prior findings remain inconsistent, and most studies operationalize…
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
Heng Zhang, Chengzhi Zhang
The automated generation of research workflows is essential for improving the reproducibility of research and accelerating the paradigm of "AI for Science". However, existing metho…
Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
Tong Bao, Heng Zhang, Chengzhi Zhang
Abstractive summarization of scientific papers has always been a research focus, yet existing methods face two main challenges. First, most summarization models rely on Encoder-Dec…
Citation Recommendation based on Argumentative Zoning of User Queries
Shutian Ma, Chengzhi Zhang, Heng Zhang +1
Citation recommendation aims to locate the important papers for scholars to cite. When writing the citing sentences, the authors usually hold different citing intents, which are re…
Using Full-text Content of Academic Articles to Build a Methodology Taxonomy of Information Science in China
Heng Zhang, Chengzhi Zhang
Research on the construction of traditional information science methodology taxonomy is mostly conducted manually. From the limited corpus, researchers have attempted to summarize…
Chronological Citation Recommendation with Time Preference
Shutian Ma, Heng Zhang, Chengzhi Zhang +1
Citation recommendation is an important task to assist scholars in finding candidate literature to cite. Traditional studies focus on static models of recommending citations, which…