A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. - Hongshu Chen; Guangquan Zhang 001; Jie Lu 001 (SMC, 2013)

A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. - Hongshu Chen; Guangquan Zhang 001; Jie Lu 001; Donghua Zhu 001 (FUZZ-IEEE, 2015)

A patent time series processing component for technology intelligence by trend identification functionality. - Hongshu Chen; Guangquan Zhang 001; Donghua Zhu 001; Jie Lu 001 (Neural Comput. Appl., 2015)

Topic-based analysis for technology intelligence - Hongshu Chen (2016)

Mixed Similarity Diffusion for Recommendation on Bipartite Networks. - Ximeng Wang; Yun Liu 001; Guangquan Zhang 001; Yi Zhang 095; Hongshu Chen; Jie Lu 001 (IEEE Access, 2017)

Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. - Yi Zhang 095; Hongshu Chen; Jie Lu 001; Guangquan Zhang 001 (Knowl. Based Syst., 2017)

Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. - Yi Zhang 095; Jie Lu 001; Feng Liu 003; Qian Liu 012; Alan L. Porter; Hongshu Chen; Guangquan Zhang 001 (J. Informetrics, 2018)

Research Topic Recommendation Based on Latent Dirichlet Allocation. - Hongshu Chen; Xuefeng Wang 001; Yahui Song; Ximeng Wang; Xiang Wang; Miaomiao Yu (ISKE, 2019)

Topological Influence-Aware Recommendation on Social Networks. - Zhaoyi Li; Fei Xiong; Ximeng Wang; Hongshu Chen; Xi Xiong (Complex., 2019)

Mining Heterogeneous Influence and Indirect Trust for Recommendation. - Zhaoyi Li; Fei Xiong; Ximeng Wang; Zhe Guan; Hongshu Chen (IEEE Access, 2020)

Movie collaborative filtering with multiplex implicit feedbacks. - Yutian Hu; Fei Xiong; Dongyuan Lu; Ximeng Wang; Xi Xiong; Hongshu Chen (Neurocomputing, 2020)

Measuring distance-based semantic similarity using meronymy and hyponymy relations. - Yuanyuan Cai; Shirui Pan; Ximeng Wang; Hongshu Chen; Xiaoyan Cai; Min Zuo (Neural Comput. Appl., 2020)

Exploiting Implicit Influence From Information Propagation for Social Recommendation. - Fei Xiong; Weihan Shen; Hongshu Chen; Shirui Pan; Ximeng Wang; Zheng Yan 001 (IEEE Trans. Cybern., 2020)

Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation. - Hongshu Chen; Xinna Song (AII@iConference, 2021)

Selection strategy in graph-based spreading dynamics with limited capacity. - Fei Xiong; Yu Zheng 013; Weiping Ding 001; Hao Wang 003; Xinyi Wang; Hongshu Chen (Future Gener. Comput. Syst., 2021)

Bayesian personalized ranking based on multiple-layer neighborhoods. - Yutian Hu; Fei Xiong; Shirui Pan; Xi Xiong; Liang Wang 017; Hongshu Chen (Inf. Sci., 2021)

Identify Topic Relations in Scientific Literature Using Topic Modeling. - Hongshu Chen; Ximeng Wang; Shirui Pan; Fei Xiong (IEEE Trans. Engineering Management, 2021)

A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper). - Tingting Ma; Ruiping Cheng; Hongshu Chen; Xiao Zhou (EEKE@JCDL, 2022)

Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. - Xuelian Ni; Fei Xiong; Yutian Hu; Shirui Pan; Hongshu Chen; Liang Wang 017 (SDM, 2022)

Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective. - Hongshu Chen; Xinna Song; Qianqian Jin; Ximeng Wang (Scientometrics, 2022)

Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data. - Qianqian Jin; Hongshu Chen; Ximeng Wang; Tingting Ma; Fei Xiong (Scientometrics, 2022)

Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration. - Hongshu Chen; Jingkang Liu; Zikai Liu (EEKE/AII@JCDL, 2023)

How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions. - Hongshu Chen; Qianqian Jin; Xuefeng Wang 001 (CoRR, 2023)

How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents. - Qianqian Jin; Hongshu Chen; Xuefeng Wang 001; Fei Xiong (J. Informetrics, 2024)

Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis. - Qianqian Jin; Hongshu Chen; Yi Zhang 095; Xuefeng Wang 001; Donghua Zhu 001 (IEEE Trans. Engineering Management, 2024)

Community Preserving Social Recommendation with Cyclic Transfer Learning. - Xuelian Ni; Fei Xiong; Shirui Pan; Jia Wu 001; Liang Wang 017; Hongshu Chen (ACM Trans. Inf. Syst., 2024)

Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation. - Haorui Zhu; Fei Xiong; Hongshu Chen; Xi Xiong; Liang Wang 017 (ACM Trans. Web, 2024)

Dual variational graph contrastive learning for social recommendation. - Yifan Wang; Fei Xiong; Zhiyuan Zhang 003; Shirui Pan; Liang Wang 017; Hongshu Chen (Knowl. Based Syst., 2025)

SRPCNet: Self-Reinforcing Perception Coordination Network for Seamless Steel Pipes Internal Surface Defect Detection. - Hongshu Chen; Kechen Song; Wenqi Cui; Tianle Zhang; Yunhui Yan; Jun Li (IEEE Trans. Ind. Informatics, 2025)

Nonlinear Matrix Factorization With Cognitive Opinion Formation for Social Recommendation. - Fei Xiong; Xuelian Ni; Shirui Pan; Hongshu Chen; Liang Wang 017; Zheng Yan 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Evolution of journal preference based on topic focus: A case study in the technology innovation management field. - Xinhang Zhao; Xuefeng Wang 001; Yuqin Liu; Hongshu Chen; Rui Guo (Scientometrics, 2025)