Hongshu Chen

发表

Toward Bayesian chemometrics--a tutorial on some recent advances.

B. Bakshi, P. Goel, Hongshu Chen, 2007, Analytica chimica acta.

Relations in Scientific Literature Using Topic Modeling

Shirui Pan, Fei Xiong, Hongshu Chen, 2019 .

Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research

Alan L. Porter, Donghua Zhu, Guangquan Zhang, 2016 .

Exploring Patterns of Academic-Industrial Collaboration for Digital Transformation Research: A Bibliometric-Enhanced Topic Modeling Method

Xuefeng Wang, Hongshu Chen, Yi Zhang, 2022, 2022 Portland International Conference on Management of Engineering and Technology (PICMET).

Navigating the Trade-offs between Independence and Collaboration: A Network Analytic Method and Case Study

Mengjia Wu, Hongshu Chen, Ximeng Wang, 2022, 2022 Portland International Conference on Management of Engineering and Technology (PICMET).

Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data

Hongshu Chen, Ximeng Wang, Tingting Ma, 2022, Scientometrics.

Practical Challenges in Bayesian Modeling and Elicitation of Probabilistic Information

B. Bakshi, P. Goel, Hongshu Chen, 2006 .

Measuring distance-based semantic similarity using meronymy and hyponymy relations

Yuanyuan Cai, Min Zuo, Shirui Pan, 2018, Neural Computing and Applications.

Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014

Guangquan Zhang, Donghua Zhu, Jie Lu, 2017 .

Identifying Technological Topic Changes in Patent Claims Using Topic Modeling

Donghua Zhu, Yi Zhang, Hongshu Chen, 2016 .

A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation

Jie Lu, Guangquan Zhang, Donghua Zhu, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Semi-automatic Technology Roadmapping Composing Method for Multiple Science, Technology, and Innovation Data Incorporation

Donghua Zhu, Yi Zhang, Hongshu Chen, 2016 .

Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research

Hongshu Chen, Ximeng Wang, Qianqian Jin, 2022, Technological Forecasting and Social Change.

Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation

Hongshu Chen, Xi Xiong, Liang Wang, 2023, ACM Trans. Web.

Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation

Hongshu Chen, Xinna Song, Hongshu Chen, 2021, AII@iConference.

Topic-based analysis for technology intelligence

Hongshu Chen, Hongshu Chen, 2016 .

Does deep learning help topic extraction? A kernel k-means clustering method with word embedding

Alan L. Porter, Qian Liu, Jie Lu, 2018, J. Informetrics.

Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016

Yi Zhang, Jie Lu, Guangquan Zhang, 2017, Knowl. Based Syst..

How heterogeneous social influence acts on human decision-making in online social networks

Shirui Pan, Liang Wang, Hongshu Chen, 2023, Chaos, Solitons & Fractals.

Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data

Hongshu Chen, Ximeng Wang, Qianqian Jin, 2022, Scientometrics.

A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper)

Hongshu Chen, Tingting Ma, Xiao Zhou, 2022, EEKE@JCDL.

Exploiting Implicit Influence From Information Propagation for Social Recommendation

Zheng Yan, Shirui Pan, Ximeng Wang, 2020, IEEE Transactions on Cybernetics.

Topological Influence-Aware Recommendation on Social Networks

Fei Xiong, Xi Xiong, Ximeng Wang, 2019, Complex..

Bayesian personalized ranking based on multiple-layer neighborhoods

Liang Wang, Shirui Pan, Fei Xiong, 2021, Inf. Sci..

Movie collaborative filtering with multiplex implicit feedbacks

Ximeng Wang, Dongyuan Lu, Fei Xiong, 2020, Neurocomputing.

Multiple science data-oriented Technology Roadmapping method

Yi Zhang, Jie Lu, Guangquan Zhang, 2015, 2015 Portland International Conference on Management of Engineering and Technology (PICMET).

Topic Analysis and Forecasting for Science, Technology and Innovation: Methodology and a Case Study

Jie Lu, Guangquan Zhang, A. Porter, 2016 .

Evaluating Olympic Technology Development : Use of Literature Analysis Based on Science Citation Index

Yi Zhang, Hongshu Chen, Xuefeng Wang, 2022 .

Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective

Hongshu Chen, Ximeng Wang, Qianqian Jin, 2022, Scientometrics.

Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration

Hongshu Chen, Jingkang Liu, Zikai Liu, 2023, EEKE/AII@JCDL.

Yi Zhang, Yun Liu, Guangquan Zhang, 2017, IEEE Access.

Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks

Liang Wang, Hongshu Chen, Shirui Pan, 2022, SDM.

Mining Heterogeneous Influence and Indirect Trust for Recommendation

Fei Xiong, Ximeng Wang, Hongshu Chen, 2020, IEEE Access.

Composing technology roadmapping according to bibliometrics: hybrid model and empirical study

Jing Xu, Yi Zhang, Ying Guo, 2011 .

Selection strategy in graph-based spreading dynamics with limited capacity

Weiping Ding, Fei Xiong, Hongshu Chen, 2021, Future Gener. Comput. Syst..

Information Diffusion Model and Hadoop Implementation Research on Online Social Network

Yue Hu, Hong-song Chen, Hongshu Chen, 2017 .

Integrated estimation of measurement error with empirical process modeling—A hierarchical Bayes approach

Prem K. Goel, Bhavik R. Bakshi, Hongshu Chen, 2009 .