Jian Yang

7.2k total citations
278 papers, 3.6k citations indexed

About

Jian Yang is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Jian Yang has authored 278 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Information Systems, 121 papers in Artificial Intelligence and 56 papers in Management Information Systems. Recurrent topics in Jian Yang's work include Service-Oriented Architecture and Web Services (68 papers), Business Process Modeling and Analysis (48 papers) and Advanced Graph Neural Networks (35 papers). Jian Yang is often cited by papers focused on Service-Oriented Architecture and Web Services (68 papers), Business Process Modeling and Analysis (48 papers) and Advanced Graph Neural Networks (35 papers). Jian Yang collaborates with scholars based in Australia, China and United States. Jian Yang's co-authors include M. Papazoglou, Jia Wu, Weiliang Zhao, Kamalakar Karlapalem, Qing Li, Shan Xue, Chuan Zhou, Quan Z. Sheng, Bart Orriëns and Boaz Golany and has published in prestigious journals such as PLoS ONE, Journal of Marketing and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jian Yang

251 papers receiving 3.4k citations

Peers

Jian Yang
Jian Yang
Citations per year, relative to Jian Yang Jian Yang (= 1×) peers Alfredo Cuzzocrea

Countries citing papers authored by Jian Yang

Since Specialization
Citations

This map shows the geographic impact of Jian Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jian Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Yang more than expected).

Fields of papers citing papers by Jian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jian Yang. The network helps show where Jian Yang may publish in the future.

Co-authorship network of co-authors of Jian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Yang. A scholar is included among the top collaborators of Jian Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Yang. Jian Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Jia, et al.. (2025). A Unified Hypergraph Framework for Inter and Intra-Session Dynamics in Session-Based Social Recommendations. IEEE Transactions on Big Data. 11(6). 2987–3002.
2.
Yang, Jian, et al.. (2025). Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks. Neural Networks. 187. 107302–107302. 5 indexed citations
3.
Wu, Jia, et al.. (2025). Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 19255–19269.
4.
Wu, Jia, Jian Yang, Shan Xue, et al.. (2025). Global Interpretable Graph-level Anomaly Detection via Prototype. 3586–3597. 1 indexed citations
5.
Tang, Xuan, et al.. (2024). Hyperbolic Graph Diffusion Model. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 15823–15831. 3 indexed citations
6.
Yang, Jian, et al.. (2024). Towards Real-world Scenario: Imbalanced New Intent Discovery. 3949–3963.
7.
Zhang, Yongshuai, Jiajin Huang, & Jian Yang. (2024). Disentangled Variational Autoencoder for Social Recommendation. Neural Processing Letters. 56(3). 1 indexed citations
9.
Hui, Binyuan, et al.. (2024). Synthesizing Text-to-SQL Data from Weak and Strong LLMs. 7864–7875. 3 indexed citations
10.
Ma, Xiaoxiao, et al.. (2024). On Fake News Detection with LLM Enhanced Semantics Mining. 508–521. 8 indexed citations
12.
Wu, Jia, Jian Yang, Quan Z. Sheng, et al.. (2024). State of the Art and Potentialities of Graph-level Learning. ACM Computing Surveys. 57(2). 1–40. 13 indexed citations
13.
Yang, Jian, et al.. (2023). Finite-time set stabilization of probabilistic Boolean control networks via output-feedback control. Neurocomputing. 572. 127208–127208. 1 indexed citations
14.
Zhao, Weiliang, et al.. (2023). Incorporating user rating credibility in recommender systems. Future Generation Computer Systems. 147. 30–43. 4 indexed citations
15.
Zhao, Huanyu, et al.. (2023). An error-bounded median filter for correcting ECG baseline wander. Health Information Science and Systems. 11(1). 45–45. 1 indexed citations
16.
Shi, Jianwu, Yiming Wang, Xinyu Han, et al.. (2023). Differentiation analysis of VOCs in Kunming during rainy and dry seasons based on monitoring high temporal resolution. Atmospheric Pollution Research. 15(2). 101996–101996. 3 indexed citations
17.
Yang, Jian, Shuming Ma, Li Dong, et al.. (2023). GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator. 3 indexed citations
18.
Cai, Taotao, Qi Lei, Quan Z. Sheng, et al.. (2023). Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Transactions on Knowledge and Data Engineering. 36(5). 2151–2165. 3 indexed citations
19.
Sun, Danfeng, Huifeng Wu, Jia Wu, et al.. (2023). A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT. ACM Computing Surveys. 56(2). 1–37. 12 indexed citations
20.
Li, Zhao, Jiaming Huang, Jia Wu, et al.. (2022). eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Transactions on Information Systems. 40(3). 1–29. 90 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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