116 citations · 292 across the 15 of their papers we have counts for
17 papers
GotFunding: A grant recommendation system based on scientific articles
Tong Zeng, Daniel E. Acuna
Obtaining funding is an important part of becoming a successful scientist. Junior faculty spend a great deal of time finding the right agencies and programs that best match their r…
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
Tong Zeng, Daniel E. Acuna
Scientist learn early on how to cite scientific sources to support their claims. Sometimes, however, scientists have challenges determining where a citation should be situated -- o…
The Impact of Heterogeneous Shared Leadership in Scientific Teams
Huimin Xu, Meijun Liu, Yi Bu +7
Leadership is evolving dynamically from an individual endeavor to shared efforts. This paper aims to advance our understanding of shared leadership in scientific teams. We define t…
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
Chao Zhou, Cheng Qiu, Lizhen Liang +1
The rapid progress of Natural Language Processing (NLP) technologies has led to the widespread availability and effectiveness of text generation tools such as ChatGPT and Claude. W…
Team formation and team performance: The balance between team freshness and repeat collaboration
Meijun Liu, Ajay Jaiswal, Yi Bu +5
Incorporating fresh members in teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal…
Predicting the longevity of resources shared in scientific publications
Daniel E. Acuna, Jian Jian, Tong Zeng +2
Research has shown that most resources shared in articles (e.g., URLs to code or data) are not kept up to date and mostly disappear from the web after some years (Zeng et al., 2019…
EILEEN: A recommendation system for scientific publications and grants
Daniel E. Acuna, Kartik Nagre, Priya Matnani
Finding relevant scientific articles is crucial for advancing knowledge. Recommendation systems are helpful for such purpose, although they have only been applied to science recent…
A dataset of mentorship in science with semantic and demographic estimations
Qing Ke, Lizhen Liang, Ying Ding +2
Mentorship in science is crucial for topic choice, career decisions, and the success of mentees and mentors. Typically, researchers who study mentorship use article co-authorship a…
Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations
Daniel E. Acuna, Ziyue Xiang
When there is a suspicious figure reuse case in science, research integrity investigators often find it difficult to rebut authors claiming that "it happened by chance". In other w…
Assigning credit to scientific datasets using article citation networks
Tong Zeng, Longfeng Wu, Sarah Bratt +1
A citation is a well-established mechanism for connecting scientific artifacts. Citation networks are used by citation analysis for a variety of reasons, prominently to give credit…
Scientific Image Tampering Detection Based On Noise Inconsistencies: A Method And Datasets
Ziyue Xiang, Daniel E. Acuna
Scientific image tampering is a problem that affects not only authors but also the general perception of the research community. Although previous researchers have developed method…
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models
Lizhen Liang, Daniel E. Acuna
Detecting biases in artificial intelligence has become difficult because of the impenetrable nature of deep learning. The central difficulty is in relating unobservable phenomena d…
The effect of novelty on the future impact of scientific grants
Han Zhuang, Daniel E. Acuna
Government funding agencies and foundations tend to perceive novelty as necessary for scientific impact and hence prefer to fund novel instead of incremental projects. Evidence lin…
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning
Titipat Achakulvisut, Chandra Bhagavatula, Daniel Acuna +1
Claims are a fundamental unit of scientific discourse. The exponential growth in the number of scientific publications makes automatic claim extraction an important problem for res…
The Social Structure of Consensus in Scientific Review
Misha Teplitskiy, Daniel Acuna, Aida Elamrani-Raoult +2
Personal connections between creators and evaluators of scientific works are ubiquitous, and the possibility of bias ever-present. Although connections have been shown to bias pros…
Science Concierge: A fast content-based recommendation system for scientific publications
Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong +1
Finding relevant publications is important for scientists who have to cope with exponentially increasing numbers of scholarly material. Algorithms can help with this task as they h…
A high-reproducibility and high-accuracy method for automated topic classification
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang +3
Much of human knowledge sits in large databases of unstructured text. Leveraging this knowledge requires algorithms that extract and record metadata on unstructured text documents.…