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20172026
most citedWordSup: Exploiting Word Annotations for Character based Text Detection

44 citations · 199 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026★ 6 cited

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…

cs.CL2026★ 39 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.CL2026

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment

Wenqing Wu, Yi Zhao, Yuzhuo Wang +4

Novelty is a core requirement in academic publishing and a central focus of peer review, yet the growing volume of submissions has placed increasing pressure on human reviewers. Wh…

cs.CL2025★ 2 cited

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…

cs.CL2022★ 1 cited

Automatic Recognition and Classification of Future Work Sentences from Academic Articles in a Specific Domain

Chengzhi Zhang, Yi Xiang, Wenke Hao +3

Future work sentences (FWS) are the particular sentences in academic papers that contain the author's description of their proposed follow-up research direction. This paper present…

cs.CL2021★ 2 cited

Enhancing Identification of Structure Function of Academic Articles Using Contextual Information

Bowen Ma, Chengzhi Zhang, Yuzhuo Wang +1

With the enrichment of literature resources, researchers are facing the growing problem of information explosion and knowledge overload. To help scholars retrieve literature and ac…

cs.CL2020★ 44 cited

Using the Full-text Content of Academic Articles to Identify and Evaluate Algorithm Entities in the Domain of Natural Language Processing

Yuzhuo Wang, Chengzhi Zhang

In the era of big data, the advancement, improvement, and application of algorithms in academic research have played an important role in promoting the development of different dis…