Hongshu Chen - RankMe

32 papers A 1B 2Misc 1Journal 24Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Dual variational graph contrastive learning for social recommendation. Knowl. Based Syst. Yifan Wang, Fei Xiong, Zhiyuan Zhang, Shirui Pan, Liang Wang, Hongshu Chen
2025	J	`jnl`	Evolution of journal preference based on topic focus: A case study in the technology innovation management field. Scientometrics Xinhang Zhao, Xuefeng Wang, Yuqin Liu, Hongshu Chen, Rui Guo
2025	J	`jnl`	Nonlinear Matrix Factorization With Cognitive Opinion Formation for Social Recommendation. IEEE Trans. Syst. Man Cybern. Syst. Fei Xiong, Xuelian Ni, Shirui Pan, Hongshu Chen, Liang Wang, Zheng Yan
2025	J	`jnl`	SRPCNet: Self-Reinforcing Perception Coordination Network for Seamless Steel Pipes Internal Surface Defect Detection. IEEE Trans. Ind. Informatics Hongshu Chen, Kechen Song, Wenqi Cui, Tianle Zhang, Yunhui Yan, Jun Li
2024	J	`jnl`	A Survey of Deep Learning-Based Information Cascade Prediction. Symmetry Zhengang Wang, Xin Wang, Fei Xiong, Hongshu Chen
2024	J	`jnl`	Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen
2024	J	`jnl`	How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents. J. Informetrics Qianqian Jin, Hongshu Chen, Xuefeng Wang, Fei Xiong
2024	J	`jnl`	Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation. ACM Trans. Web Haorui Zhu, Fei Xiong, Hongshu Chen, Xi Xiong, Liang Wang
2024	J	`jnl`	Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis. IEEE Trans. Engineering Management Qianqian Jin, Hongshu Chen, Yi Zhang, Xuefeng Wang, Donghua Zhu
2023	J	`jnl`	How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions. CoRR Hongshu Chen, Qianqian Jin, Xuefeng Wang
2023	—	`conf`	Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration. EEKE/AII@JCDL Hongshu Chen, Jingkang Liu, Zikai Liu
2022	—	`conf`	A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper). EEKE@JCDL Tingting Ma, Ruiping Cheng, Hongshu Chen, Xiao Zhou
2022	A	`conf`	Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. SDM Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang
2022	J	`jnl`	Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data. Scientometrics Qianqian Jin, Hongshu Chen, Ximeng Wang, Tingting Ma, Fei Xiong
2022	J	`jnl`	Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective. Scientometrics Hongshu Chen, Xinna Song, Qianqian Jin, Ximeng Wang
2021	J	`jnl`	Bayesian personalized ranking based on multiple-layer neighborhoods. Inf. Sci. Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen
2021	—	`conf`	Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation. AII@iConference Hongshu Chen, Xinna Song
2021	J	`jnl`	Identify Topic Relations in Scientific Literature Using Topic Modeling. IEEE Trans. Engineering Management Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong
2021	J	`jnl`	Selection strategy in graph-based spreading dynamics with limited capacity. Future Gener. Comput. Syst. Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen
2020	J	`jnl`	Exploiting Implicit Influence From Information Propagation for Social Recommendation. IEEE Trans. Cybern. Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan
2020	J	`jnl`	Measuring distance-based semantic similarity using meronymy and hyponymy relations. Neural Comput. Appl. Yuanyuan Cai, Shirui Pan, Ximeng Wang, Hongshu Chen, Xiaoyan Cai, Min Zuo
2020	J	`jnl`	Mining Heterogeneous Influence and Indirect Trust for Recommendation. IEEE Access Zhaoyi Li, Fei Xiong, Ximeng Wang, Zhe Guan, Hongshu Chen
2020	J	`jnl`	Movie collaborative filtering with multiplex implicit feedbacks. Neurocomputing Yutian Hu, Fei Xiong, Dongyuan Lu, Ximeng Wang, Xi Xiong, Hongshu Chen
2019	Misc	`conf`	Research Topic Recommendation Based on Latent Dirichlet Allocation. ISKE Hongshu Chen, Xuefeng Wang, Yahui Song, Ximeng Wang, Xiang Wang, Miaomiao Yu
2019	J	`jnl`	Topological Influence-Aware Recommendation on Social Networks. Complex. Zhaoyi Li, Fei Xiong, Ximeng Wang, Hongshu Chen, Xi Xiong
2018	J	`jnl`	Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang
2017	J	`jnl`	Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowl. Based Syst. Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang
2017	J	`jnl`	Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu
2016	—	`—`	Topic-based analysis for technology intelligence Hongshu Chen
2015	B	`conf`	A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. FUZZ-IEEE Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu
2015	J	`jnl`	A patent time series processing component for technology intelligence by trend identification functionality. Neural Comput. Appl. Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu
2013	B	`conf`	A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. SMC Hongshu Chen, Guangquan Zhang, Jie Lu