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2020 – today
- 2024
[j18]Qianqian Jin
, Hongshu Chen, Xuefeng Wang, Fei Xiong:
How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents. J. Informetrics 18(4): 101553 (2024)- [j17]Qianqian Jin, Hongshu Chen, Yi Zhang, Xuefeng Wang, Donghua Zhu:
Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis. IEEE Trans. Engineering Management 71: 8964-8978 (2024) - [j16]Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen:
Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. 42(3): 67:1-67:36 (2024) - [j15]Haorui Zhu, Fei Xiong, Hongshu Chen, Xi Xiong, Liang Wang:
Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation. ACM Trans. Web 18(2): 23:1-23:26 (2024) - 2023
- [c7]Hongshu Chen, Jingkang Liu, Zikai Liu:
Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration. EEKE/AII@JCDL 2023: 46-51 - [i1]Hongshu Chen, Qianqian Jin, Xuefeng Wang:
How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions. CoRR abs/2311.05909 (2023) - 2022
- [j14]Qianqian Jin, Hongshu Chen, Ximeng Wang, Tingting Ma, Fei Xiong:
Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data. Scientometrics 127(9): 5415-5440 (2022) - [j13]Hongshu Chen, Xinna Song, Qianqian Jin, Ximeng Wang:
Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective. Scientometrics 127(11): 6637-6660 (2022) - [c6]Tingting Ma, Ruiping Cheng, Hongshu Chen, Xiao Zhou:
A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper). EEKE@JCDL 2022: 118-126 - [c5]Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang:
Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. SDM 2022: 567-575 - 2021
- [j12]Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen:
Selection strategy in graph-based spreading dynamics with limited capacity. Future Gener. Comput. Syst. 114: 307-317 (2021) - [j11]Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen:
Bayesian personalized ranking based on multiple-layer neighborhoods. Inf. Sci. 542: 156-176 (2021) - [j10]Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong:
Identify Topic Relations in Scientific Literature Using Topic Modeling. IEEE Trans. Engineering Management 68(5): 1232-1244 (2021) - [c4]Hongshu Chen, Xinna Song:
Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation. AII@iConference 2021: 33-46 - 2020
- [j9]Zhaoyi Li, Fei Xiong, Ximeng Wang, Zhe Guan, Hongshu Chen:
Mining Heterogeneous Influence and Indirect Trust for Recommendation. IEEE Access 8: 21282-21290 (2020) - [j8]Yutian Hu, Fei Xiong, Dongyuan Lu, Ximeng Wang, Xi Xiong, Hongshu Chen:
Movie collaborative filtering with multiplex implicit feedbacks. Neurocomputing 398: 485-494 (2020) - [j7]Yuanyuan Cai, Shirui Pan, Ximeng Wang, Hongshu Chen, Xiaoyan Cai, Min Zuo:
Measuring distance-based semantic similarity using meronymy and hyponymy relations. Neural Comput. Appl. 32(8): 3521-3534 (2020) - [j6]Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan:
Exploiting Implicit Influence From Information Propagation for Social Recommendation. IEEE Trans. Cybern. 50(10): 4186-4199 (2020)
2010 – 2019
- 2019
- [j5]Zhaoyi Li, Fei Xiong, Ximeng Wang, Hongshu Chen, Xi Xiong:
Topological Influence-Aware Recommendation on Social Networks. Complex. 2019: 6325654:1-6325654:12 (2019) - [c3]Hongshu Chen, Xuefeng Wang, Yahui Song, Ximeng Wang, Xiang Wang, Miaomiao Yu:
Research Topic Recommendation Based on Latent Dirichlet Allocation. ISKE 2019: 637-643 - 2018
- [j4]Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang:
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics 12(4): 1099-1117 (2018) - 2017
- [j3]Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu:
Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access 5: 21029-21038 (2017) - [j2]Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang:
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowl. Based Syst. 133: 255-268 (2017) - 2016
- [b1]Hongshu Chen:
Topic-based analysis for technology intelligence. University of Technology Sydney, Australia, 2016 - 2015
- [j1]Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu:
A patent time series processing component for technology intelligence by trend identification functionality. Neural Comput. Appl. 26(2): 345-353 (2015) - [c2]Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu:
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. FUZZ-IEEE 2015: 1-7 - 2013
- [c1]Hongshu Chen, Guangquan Zhang, Jie Lu:
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. SMC 2013: 3477-3482
Coauthor Index
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