Publications

Conference Paper:

  • Yong Zhu, Zengxing Jiang, Gang Li, "Analyzing the Evolution of Jiangsu’s Science and Technology Policies Based on Topic Modeling and Fine-tuned RoBERTa," 2024 7th International Conference on Data Science and Information Technology (DSIT), Nanjing, China, 2024, pp. 1-7, doi: 10.119/DSIT61374.2024.10881819. [Presentation]

Journal Paper:

  • Yong Zhu, Gang Li* (Major Revision). Analyzing the Evolution of Environmental Policy Themes and Governance Stakeholder Networks: A Computational Approach. International Journal of Information Management Data Insights.

  • Yakun Ma, Yuanyuan Shu, Yong Zhu, Guangwei Hu* (Under Review). Link Prediction for Social Governance Innovation Using the ERNIE Model and an Ensemble Graph Neural Network: A Multi-Source Data Perspective. Information Processing & Management.

  • Zimeng Li, Yusong Wu, Danchun Su, Yong Zhu, Gang Li*. Portrait of Chinese Think Tank Experts Based on CTTI Data. Library & Information [CSSCI]. 2023, 43(05): 27-39

  • Gang Li*, Fei Chen, Danchun Su, Yong Zhu. The Transformation of Think Tank Construction Paradigm: From Expert-Driven to Data-Driven. Library & Information [CSSCI]. 2023, 43(05): 1-12

Book Chatper:

  • Yong Zhu (2024). Academic Research of Chinese Think Tanks. In G. Li & Y. Wei (Eds.). 2022 Annual Report on the Development of CTTI Source Think Tanks (pp. 26-38). Nanjing University Press. ISBN: 9787305284717.

  • Yong Zhu (2024). Progress in Evaluation of Chinese Think Tanks. In G. Li & Y. Wei (Eds.). 2022 Annual Report on the Development of CTTI Source Think Tanks (pp. 39-48). Nanjing University Press. ISBN: 9787305284717.

  • Yong Zhu (2024). Data Analysis of Top 100 University Think Tanks in CTTI. In G. Li & Y. Wei (Eds.). 2022 Annual Report on the Development of CTTI Source Think Tanks (pp. 273-278). Nanjing University Press. ISBN: 9787305284717.

  • Yong Zhu (2024). Highlights in Construction of University Think Tanks. In G. Li & Y. Wei (Eds.). 2022 Annual Report on the Development of CTTI Source Think Tanks (pp. 279-287). Nanjing University Press. ISBN: 9787305284717.

  • Schwabish, J. A. (2020). Elevate the Debate: A Multilayered Approach to Communicating Your Research. Hoboken, NJ: John Wiley & Sons. (A. Lei & G. Li, Trans., 2024). Nanjing: Nanjing University Press. Chapter 6 by Yong Zhu, “Working with the Media to Increase Your Impact” (pp. 123-148). ISBN: 9787305281587.

Software

MODOU Topic Modeling and Data Visualization Platform

  1. Upload files and set parameters.

  1. Download the model results - filter, coherence, topic-document matrix, word-topic matrix, sentiment analysis.

  2. Automatic data visualization.

  1. Click the earth-shaped button at the top right corner. GPT helps you analyze the results.

Open-sourced Address:

https://github.com/JohnSnow0422-nju/JohnSnow0422-nju/tree/Topic-Modeling-Platform

Tutorial:

https://youtu.be/1hanVRwA-Bg