most citedRevealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

38 citations · 70 across the 5 of their papers we have counts for

collaborators

11 papers

cs.CL2026

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…

cs.CL202614 cited

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…

cs.CL202638 cited

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…

cs.CY202618 cited

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…

cs.DL2026

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…

cs.CL2026

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,…