Giorgio Tripodi, Xiang Zheng, Yifan Qian, Dakota Murray, Benjamin F. Jones, Chaoqun Ni, and Dashun Wang (2024) [Preprint].
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Data, Measurement and Empirical Methods in the Science of Science→
/Lu Liu, Benjamin F. Jones, Brian Uzzi, and Dashun Wang (2023). Nature Human Behaviour.
Read MoreSciSciNet: A Large-Scale Open Data Lake for the Science of Science Research→
/Zihang Lin, Yian Yin, Lu Liu, and Dashun Wang (2023). Scientific Data, 10, 315.
Read MoreThe Promise and Pitfalls of the Metaverse for Science→
/Diego Gómez-Zará, Peter Schiffer, and Dashun Wang (2023). Nature Human Behaviour .
Read MoreInterdisciplinary Papers Supported by Disciplinary Grants Garner Deep and Broad Scientific Impact→
/Minsu Park, Suman Kalyan Maity, Stefan Wuchty, and Dashun Wang (2023). arXiv.
Read MoreCorrelated Impact Dynamics in Science→
/Jiazhen Liu, Tamang Kunal, Dashun Wang, and Chaoming Song (2023). arXiv.
Read MoreCoevolution of Policy and Science During the Pandemic→
/Yian Yin, Jian Gao, Benjamin F. Jones, and Dashun Wang (2021). Science, 371(6525), 128-130.
Read MoreQuantifying Dynamics of Failure Across Science, Startups, and Security (PDF)→
/Yian Yin, Yang Wang, James A. Evans, and Dashun Wang (2019). Nature.
• Supplementary Information
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Early-Career Setback and Future Career Impact (PDF)→
/Yang Wang, Benjamin F. Jones, and Dashun Wang (2019). Nature Communications.
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• One of the 50 most read Nature Communications articles from across the life and biological sciences in 2019
Emergence of Scaling in Complex Substitutive Systems (PDF)→
/Ching Jin, Chaoming Song, Johannes Bjelland, Geoffrey Canright, and Dashun Wang (in press). Nature Human Behaviour.
• arXiv preprint
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Large Teams Develop and Small Teams Disrupt Science And Technology (PDF)→
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Lingfei Wu, Dashun Wang, and James A. Evans (2019). Nature.
• arXiv preprint
• Ranked by Altmetrics as one of the 100 most-discussed papers in 2019
The Evolution of Citation Graphs in Artificial Intelligence Research→
/Morgan R. Frank, Dashun Wang, Manuel Cebrian, and Iyad Rahwan (2019). Nature Machine Intelligence, 1, 79-85.
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Taking Census of Physics→
/Federico Battiston, Federico Musciotto, Dashun Wang, Albert-László Barabási, Michael Szell, and Roberta Sinatra (2019). Nature Reviews Physics, 1, 89-97.
Read MoreHot Streaks in Artistic, Cultural, and Scientific Careers→
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Lu Liu, Yang Wang, Roberta Sinatra, C. Lee Giles, Chaoming Song, and Dashun Wang (2018). Nature.
• Data and Code
• arXiv preprint
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Modeling Citation Dynamics of “Atypical” Papers (PDF)→
/Zhongyang He, Zhen Lei, and Dashun Wang (2018). Journal of the Association for Information Science and Technology, 69(9): 1148-1160
Read MoreScience of Science (PDF)→
/Santo Fortunato, Carl T. Bergstrom, Katy Boerner, James A. Evans, Dirk Helbing, Stasa Milojevic, Alexander M. Petersen, Filippo Radicchi, Roberta Sinatra, Brian Uzzi, Alessandro Vespignani, Ludo Waltman, Dashun Wang, and A.-L. Barabási (2018). Science, 359, 1007.
Read MoreThe Time Dimension of Science: Connecting the Past to the Future (PDF)→
/Yian Yin and Dashun Wang (2017). Journal of Informetrics, 11: 608–621.
Read MoreQuantifying Patterns of Research-Interest Evolution (PDF)→
/Tao Jia, Dashun Wang, and Boleslaw K. Szymanski (2017). Nature Human Behaviour.
Read MoreQuantifying the Evolution of Individual Scientific Impact (PDF)→
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Roberta Sinatra, Dashun Wang, Pierre Deville, Chaoming Song, and Albert-László Barabási (2016). Science.
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Inspiration or Preparation? Explaining Creativity in Scientific Enterprise (PDF)→
/Xinyang Zhang, Dashun Wang, and Ting Wang. Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM-2016).
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A Century of Physics (PDF)→
/Roberta Sinatra, Pierre Deville, Michael Szell, Dashun Wang, and Albert-László Barabási (2015). Nature Physics.
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Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes (PDF)→
/Hua-Wei Shen, Dashun Wang, Chaoming Song, and Albert-László Barabási (2014). The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-2014).
• arXiv
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Career on the Move: Geography, Stratification, and Scientific Impact (PDF)→
/Pierre Deville, Dashun Wang, Roberta Sinatra, Chaoming Song, Vincent Blondel, and Albert-László Barabási (2014). Scientific Reports, 4: 4770.
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Quantifying Long-Term Scientific Impact (PDF)→
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Dashun Wang, Chaoming Song, and Albert-László Barabási (2013). Science, 342, 6154: 127-132.
• arXiv
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Statistical Physics in the Era of Big Data (PDF)→
/Dashun Wang (2013). Committee: Albert-László Barabási (Chair), Alain Karma, David Lazer, Alessandro Vespignani. Ph.D. Thesis.
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Handful of Papers Dominates Citation (PDF)→
/Albert-László Barabási, Chaoming Song, and Dashun Wang (2012). Nature, 491.7422: 40-40.
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