Tong Zeng
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My name is Tong Zeng and I’m a Researcher and Machine Learning Engineer specializing in Science of Science and Applied Natural Language Processing

with a broad scientific background that ranges from economics, information science and computer science.

I have many years of experience working in the industry as a software development engineer and machine learning engineer.

Know more Contact me

FEATURED PUBLICATIONS

Unveiling Our Best Research Works and Beyond

Assigning credit to scientific datasets using article citation networks
Science of Science
Network Science
DATARANK
DataRank - an algorithm to properly track and assign credit to datasets in citation network.
Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E Acuna
Jan 24, 2020

Modeling citation worthiness by using attention‑based bidirectional long short‑term memory networks and interpretable models
Science of Science
Deep learning
Predict whether a sentence needs citations using Att-BiLSTM Networks, Logistic Regression and Random Forest.
Tong Zeng, Daniel E Acuna
Mar 28, 2020

Dead Science: Most Resources Linked in Biomedical Articles Disappear in Eight Years
Science of Science
Logistic Regression
Modeling the resources decay in scientific publications.
Tong Zeng, Alain Shema, Daniel E Acuna
Mar 13, 2019

Finding datasets in publications: the Syracuse University approach
Science of Science
Deep learning
Extract dataset in publications using bi-LSTM-CRF network
Tong Zeng, Daniel E Acuna
Dec 31, 2019

Large-scale author name disambiguation using approximate network structures
Science of Science
Network Science
DATARANK
Author name disambiguation at large-scale using pyspark.
Tong Zeng, Daniel E Acuna
Jul 17, 2020

GotFunding: A grant recommendation system based on scientific articles
Science of Science
Recommendation System
Recommend grant opportunity based on publication history
Tong Zeng, Daniel E Acuna
Oct 22, 2020
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PUBLICATION LIST

Publications I Have Recently published

JOURNAL ARTICLES

Determinants of diminishing returns on NIH-funded projects (under review)
Tong Zeng , Daniel E Acuna
2024
Predicting the longevity of resources shared in scientific publications (to be appeared)
Daniel E Acuna, Jian Jian, Tong Zeng , Lizhen Liang, Han Zhuang
arXiv preprint arXiv:2203.12800 2022
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Assigning credit to scientific datasets using article citation networks
Tong Zeng , Longfeng Wu, Sarah Bratt, Daniel E Acuna
Journal of Informetrics 14 .2 pp. 101013. Elsevier, 2020
SCIE indexed: SJR Q1 Download PDF
Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
Tong Zeng , Daniel E Acuna
Scientometrics 124 .1 pp. 399-428. Springer, 2020
SCIE indexed: SJR Q1 Dataset Link Code Link Download PDF

CONFERENCES

Machine learning and artificial intelligence for science of science and computational discovery: Principles, applications, and future opportunities
Daniel E Acuna, Tong Zeng , Han Zhuang, Lizhen Liang
iConference 2021 workshop 2021
Workshop Top Conference in Info. Sci. Download PDF
GotFunding: A grant recommendation system based on scientific articles
Tong Zeng , Daniel E Acuna
Proceedings of the ASIS&T annual meeting 57 pp. e323. Wiley Online Library, 2020
Top Conference in Info. Sci. Download PDF
Large-scale author name disambiguation using approximate network structures
Tong Zeng , Daniel E Acuna
International conference on computational social science 2020
Download PDF
Dead science: Most resources linked in biomedical articles disappear in eight years
Tong Zeng , Alain Shema, Daniel E Acuna
Intl. Conf. On information pp. 170-176. Springer, 2019
EI Indexed Top Conference in Info. Sci. Download PDF

BOOK CHAPTERS

Finding datasets in publications: The syracuse university approach
Tong Zeng , Daniel E Acuna
Rich search and discovery for research datasets: Building the next generation of scholarly infrastructure pp. 157-165. SAGE Publications, 2020
Book Chapter Download PDF
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