most citedFrom Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.DL2025

Persistence Paradox in Dynamic Science

Honglin Bao, Kai Li

Persistence is often regarded as a virtue in science. In this paper, however, we challenge this conventional view by highlighting its contextual nature, particularly how persistenc…

cs.CY2025

Language Models Should be Used to Surface the Unwritten Code of Science and Society

Honglin Bao, Siyang Wu, Jiwoong Choi +2

This paper calls on the research community not only to investigate how human biases are inherited by large language models (LLMs) but also to explore how these biases in LLMs can b…

cs.CL2025

Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding

Siyang Wu, Honglin Bao, Nadav Kunievsky +1

While large language models (LLMs) excel at factual recall, the real challenge lies in knowledge application. A gap persists between their ability to answer complex questions and t…

cs.SI2025

Measuring Vogue in American Sociology (2011-2020)

Alex Xiaoqin Yan, Honglin Bao, Tom R. Leppard +1

This study investigates the social dynamics of knowledge production in American sociology. Departing from traditional approaches focused on citations, co-authorship, and faculty hi…

cs.CY20241 cited

From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021

Honglin Bao, Jiawei Zhang, Mingxuan Cao +1

We present a comprehensive study on the emergence of Computational Social Science (CSS) - an interdisciplinary field leveraging computational methods to address social science ques…