39 citations · 231 across the 43 of their papers we have counts for
46 papers
SurveyAgent-HKA: A multi-agent framework for scientific survey generation with LLMs and human knowledge augmentation
Tong Bao, Mir Tafseer Nayeem, Yi Zhao +2
Automatic scientific survey generation has become an important task in scientific document processing. The common approach of retrieving literature from a single source (e.g., arXi…
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…
More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers
Shuai Chen, Tong Bao, Jitong Peng +1
Computational resources are increasingly central to NLP research, but how closely reported GPU capability aligns with scholarly impact remains unclear. We analyze 13,921 ACL, EMNLP…
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…
Leveraging Human Reading Behavior for Keyphrase Extraction: A Webcam-based Eye-tracking Corpus
Chengzhi Zhang, Xinyi Yan, Wenqi Yu
Purpose: Keyphrases are statistically and semantically important textual units that can also attract readers' attention during comprehension. However, existing keyphrase extraction…
Non-synchronism in Global Usage of Research Methods in Library and Information Science from 1990 to 2019
Chengzhi Zhang, Liang Tian
The global development of Library and Information Science (LIS) is influenced by various factors such as the economy, society, culture, discipline, tradition, and more. Consequentl…
Building a Multimodal Dataset of Academic Paper for Keyword Extraction
Jingyu Zhang, Xinyi Yan, Yi Xiang +2
Up to this point, keyword extraction task typically relies solely on textual data. Neglecting visual details and audio features from image and audio modalities leads to deficiencie…
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…
Unveiling Novelty Evolution in the field of Library and Information Science in China
Chen Yang, Yuzhuo Wang, Chengzhi Zhang
This study analyzes the novelty distribution of scholarly papers in the field of Library and Information Science (LIS) in China, with a focus on differences across journals, resear…
Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach
Yuzhuo Wang, Yi Xiang, Chengzhi Zhang
With the rise of data-intensive science, algorithms have become central to scientific research. In academic papers, algorithms are mentioned for different purposes, such as describ…
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…
Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs
Xinyi Yan, Yingyi Zhang, Chengzhi Zhang
Microblogging platforms generate massive amounts of short, noisy, and dispersed user content, making automatic keyphrase extraction (AKE) an important but challenging task. Prior s…
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…
Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization
Yingyi Zhang, Chengzhi Zhang
Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forward problems to using methods.…
Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities
Chengzhi Zhang, Yi Mao, Shuyu Peng
Since the 1990s, advancements in big data and information technology have increasingly driven data-centric research in the field of Library and Information Science (LIS). To assess…
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,…
Aspect-Based Sentiment Evolution and its Correlation with Review Rounds in Multi-Round Peer Reviews: A Deep Learning Approach
Ruxue Hana, Haomin Zhoua, Jiangtao Zhong +1
Mining sentiment information from the textual content of peer review comments offers valuable insights into the scientific evaluation process. However, previous studies are often c…
Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers
Yuzhuo Wang, Chengzhi Zhang, Min Song +3
Algorithms have become central to scientific research in the era of artificial intelligence (AI). Although algorithm mentions in papers are often used to indicate popularity and in…
Is Higher Team Gender Diversity Correlated with Better Scientific Impact?
Chengzhi Zhang, Jiaqi Zeng, Yi Zhao
Collaborative research involving scholars of various genders constitutes a prominent theme in scientific research that has garnered substantial attention. While several studies hav…
Gender Differences in Research Topic and Method Convergence among Collaborating Scholars in Library and Information Science
Chengzhi Zhang, Linlei Xie, Siqi Wei
This study explores gender differences in research topic choice and methodology among collaborating scholars. Previous studies have often focused on gender differences in research…
Which Review Aspect Has a Greater Impact on the Duration of Open Peer Review in Multiple Rounds? -- Evidence from Nature Communications
Haomin Zhou, Ruxue Han, Jiangtao Zhong +1
Purpose: Peer review is essential to scientific publishing, but increasing submission volumes have placed growing pressure on reviewers and editors. This study examines the relatio…
Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)
Chengzhi Zhang, Jiayi Hao, Yi Mao
Academic age critically shapes career development, influencing research behavior, output volume, and methodological choices. Analyzing method variation across academic ages offers…
Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science
Qiuyu Fang, Jiayi Hao, Chengzhi Zhang
Research methods are essential carriers of knowledge contribution in academic papers. Automatic multi-label classification of research methods can support knowledge services such a…