Chengzhi Zhang
Biographic Data
| ID | 6277976 |
|---|---|
| NAME | Chengzhi Zhang |
| GIVEN NAMES | Chengzhi |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG C |
| AFFILIATIONS | Nanjing University of Science and Technology |
| ORCID | 0000-0002-7367-0334 |
| VERIFIED | Yes |
| TOTAL WORKS | 27 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 27 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Understanding nighttime leisure activities in various urban leisure spaces: A multi-factor interaction perspective based on mobile signaling data
Nighttime leisure activities play a crucial role in enhancing the quality of life for urban residents. However, existing studies have rarely differentiated the diverse spatial contexts in which nighttime leisure-related activities occur, limiting understanding of their spatiotemporal patterns and underlying mechanisms. This study aims to fill this gap by integrating mobile phone signaling data with areas of interest (AOI) datasets to systematical…
Exploring novelty differences between industry and academia: A knowledge entity-centric perspective
Enhancing unsupervised keyword extraction in academic papers through integrating highlights with abstract
Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
Enhancing research idea generation through combinatorial innovation and multi-agent iterative search strategies
Scientific progress depends on the continual generation of innovative research ideas. However, the rapid growth of scientific literature has greatly increased the cost of knowledge filtering, making it harder for researchers to identify novel directions. Although existing large language model (LLM)-based methods show promise in research idea generation, the ideas they produce are often repetitive and lack depth. To address this issue, this study …
Examining the cognitive gap between authors and peer reviewers on academic paper novelty
Novelty is a crucial metric for assessing the quality of academic papers. Scholars strive to highlight the novel aspects of their work, particularly in the title, abstract, and introduction. Peer review, serving as the gatekeeper of scientific rigor, rigorously evaluates the novelty of papers, yet a cognitive gap may exist between author self-promotion and reviewer evaluation. To investigate this, we analyzed 15,328 academic papers published in N…
Enhancing academic paper recommendations using fine-grained knowledge entities and multifaceted document embeddings
Evolution of research method usage across the academic careers of library and information science scholars
Quantifying the knowledge proximity between academic and industry research: An entity and semantic perspective
Fine-Scale spatial simulation and interpretation of occupational population distributions using big data and machine learning
Flowing without Roots: The Identity Crisis of Foreigners’ Descendants in Mainland China
A review on the novelty measurements of academic papers
Examining linguistic shifts in academic writing before and after the launch of ChatGPT: A study on preprint papers
Enhancing keyphrase extraction from academic articles using section structure information
Data-driven evolution of library and information science research methods (1990–2022): A perspective based on fine-grained method entities
Extracting problem and method sentence from scientific papers: A context-enhanced transformer using formulaic expression desensitization
Leveraging ChatGPT to optimize depression intervention through explainable deep learning
This study illuminates the considerable promise offered by the utilization of large language models in the realm of healthcare. It represents a pivotal step toward advancing the development of sophisticated healthcare systems capable of augmenting patient care and counseling practices
Non-synchronism in global usage of research methods in library and information science from 1990 to 2019
Enhancing keyphrase extraction from academic articles with their reference information
A review on method entities in the academic literature: Extraction, evaluation, and application
Enhancing identification of structure function of academic articles using contextual information
Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles
Chronological citation recommendation with time preference
Evaluating wider impacts of books via fine-grained mining on citation literatures
Exploring linguistic characteristics of highly browsed and downloaded academic articles
No prominent works on this page.
The eyes you find will make you shiver
Evaluating wider impacts of books via fine-grained mining on citation literatures
Exploring linguistic characteristics of highly browsed and downloaded academic articles
A review of citation recommendation: From textual content to enriched context
Chronological citation recommendation with time preference
Enhancing keyphrase extraction from academic articles with their reference information
A review on method entities in the academic literature: Extraction, evaluation, and application
Enhancing identification of structure function of academic articles using contextual information
Is coronavirus-related research becoming more interdisciplinary? A perspective of co-occurrence analysis and diversity measure of scientific articles
Non-synchronism in global usage of research methods in library and information science from 1990 to 2019
Data-driven evolution of library and information science research methods (1990–2022): A perspective based on fine-grained method entities
Extracting problem and method sentence from scientific papers: A context-enhanced transformer using formulaic expression desensitization
Leveraging ChatGPT to optimize depression intervention through explainable deep learning
This study illuminates the considerable promise offered by the utilization of large language models in the realm of healthcare. It represents a pivotal step toward advancing the development of sophisticated healthcare systems capable of augmenting patient care and counseling practices
Flowing without Roots: The Identity Crisis of Foreigners’ Descendants in Mainland China
A review on the novelty measurements of academic papers
Examining linguistic shifts in academic writing before and after the launch of ChatGPT: A study on preprint papers
Enhancing keyphrase extraction from academic articles using section structure information
Understanding nighttime leisure activities in various urban leisure spaces: A multi-factor interaction perspective based on mobile signaling data
Nighttime leisure activities play a crucial role in enhancing the quality of life for urban residents. However, existing studies have rarely differentiated the diverse spatial contexts in which nighttime leisure-related activities occur, limiting understanding of their spatiotemporal patterns and underlying mechanisms. This study aims to fill this gap by integrating mobile phone signaling data with areas of interest (AOI) datasets to systematical…
Exploring novelty differences between industry and academia: A knowledge entity-centric perspective
Enhancing unsupervised keyword extraction in academic papers through integrating highlights with abstract
Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
Enhancing research idea generation through combinatorial innovation and multi-agent iterative search strategies
Scientific progress depends on the continual generation of innovative research ideas. However, the rapid growth of scientific literature has greatly increased the cost of knowledge filtering, making it harder for researchers to identify novel directions. Although existing large language model (LLM)-based methods show promise in research idea generation, the ideas they produce are often repetitive and lack depth. To address this issue, this study …
Examining the cognitive gap between authors and peer reviewers on academic paper novelty
Novelty is a crucial metric for assessing the quality of academic papers. Scholars strive to highlight the novel aspects of their work, particularly in the title, abstract, and introduction. Peer review, serving as the gatekeeper of scientific rigor, rigorously evaluates the novelty of papers, yet a cognitive gap may exist between author self-promotion and reviewer evaluation. To investigate this, we analyzed 15,328 academic papers published in N…
Enhancing academic paper recommendations using fine-grained knowledge entities and multifaceted document embeddings
Evolution of research method usage across the academic careers of library and information science scholars
Computer Science (17 works) · Advanced Text Analysis Techniques (12 works) · Data science (11 works) · Information retrieval (10 works) · Topic Modeling (9 works) · Artificial Intelligence (8 works) · Artificial Intelligence (7 works) · Library science (6 works) · scientometrics and bibliometrics research (6 works) · Engineering (5 works)