Hui Fang

1.7k total citations
45 papers, 928 citations indexed

About

Hui Fang is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Hui Fang has authored 45 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Information Systems, 27 papers in Artificial Intelligence and 15 papers in Sociology and Political Science. Recurrent topics in Hui Fang's work include Recommender Systems and Techniques (23 papers), Advanced Graph Neural Networks (12 papers) and Access Control and Trust (8 papers). Hui Fang is often cited by papers focused on Recommender Systems and Techniques (23 papers), Advanced Graph Neural Networks (12 papers) and Access Control and Trust (8 papers). Hui Fang collaborates with scholars based in China, Singapore and Netherlands. Hui Fang's co-authors include Yang Bao, Jie Zhang, Guibing Guo, Yiheng Shu, Danning Zhang, Jie Zhang, Jie Zhang, Zhu Sun, Qinghua Zhu and Qiang He and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Hui Fang

40 papers receiving 905 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hui Fang	563	466	157	137	119	45	928
Marco Cristo	588 1.0×	517 1.1×	99 0.6×	173 1.3×	80 0.7×	57	1.1k
Derek Bridge	717 1.3×	685 1.5×	98 0.6×	178 1.3×	126 1.1×	54	1.2k
Cihan Kaleli	666 1.2×	457 1.0×	115 0.7×	178 1.3×	123 1.0×	29	854
Jinoh Oh	812 1.4×	662 1.4×	137 0.9×	324 2.4×	153 1.3×	30	1.1k
Alper Bilge	885 1.6×	573 1.2×	162 1.0×	204 1.5×	171 1.4×	44	1.1k
David Vallet	732 1.3×	671 1.4×	60 0.4×	266 1.9×	138 1.2×	41	1.1k
Richong Zhang	434 0.8×	1.2k 2.6×	118 0.8×	236 1.7×	215 1.8×	118	1.7k
Shuaiqiang Wang	962 1.7×	963 2.1×	122 0.8×	375 2.7×	139 1.2×	91	1.8k
Mohammad Ali Nematbakhsh	301 0.5×	318 0.7×	133 0.8×	86 0.6×	216 1.8×	78	929
Ansgar Scherp	366 0.7×	549 1.2×	157 1.0×	358 2.6×	211 1.8×	128	1.1k

Countries citing papers authored by Hui Fang

Since Specialization

Citations

This map shows the geographic impact of Hui Fang'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 Hui Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Fang more than expected).

Fields of papers citing papers by Hui Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Fang. 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 Hui Fang. The network helps show where Hui Fang may publish in the future.

Co-authorship network of co-authors of Hui Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Fang. A scholar is included among the top collaborators of Hui Fang 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 Hui Fang. Hui Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zhang, Wei, Hui Fang, Jing Hao, et al.. (2025). Depression and anxiety in patients with breast cancer receiving radiotherapy: a longitudinal study. Therapeutic Advances in Medical Oncology. 17. 22790666–22790666.

Sun, Zhu, Jie Yang, Xinghua Qu, et al.. (2024). Adaptive In-Context Learning with Large Language Models for Bundle Generation. 966–976. 2 indexed citations

He, Qiang, Hui Fang, Xingwei Wang, et al.. (2024). Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 7158–7168. 20 indexed citations

Sun, Zhu, Jie Yang, Hui Fang, et al.. (2024). Revisiting Bundle Recommendation for Intent-aware Product Bundling. 2(3). 1–34. 3 indexed citations

Fang, Hui, et al.. (2024). Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach. ACM Transactions on Knowledge Discovery from Data. 18(5). 1–21. 3 indexed citations

Zhang, Danning, et al.. (2023). Purpose tendency-aware diversified strategy for effective session-based recommendation. Electronic Commerce Research and Applications. 57. 101235–101235. 3 indexed citations

Fang, Hui, et al.. (2023). Understanding Diversity in Session-based Recommendation. ACM Transactions on Information Systems. 42(1). 1–34. 7 indexed citations

Fang, Hui, et al.. (2023). Decentralized Matrix Factorization with Heterogeneous Differential Privacy. 1068–1075. 1 indexed citations

He, Qiang, Wei Qiao, Hui Fang, & Yang Bao. (2023). Improving the identification of miRNA–disease associations with multi-task learning on gene–disease networks. Briefings in Bioinformatics. 24(4). 17 indexed citations

10.

Zhang, Huiqing, Dan Li, Hui Fang, et al.. (2023). Up-regulated CD38 by daphnetin alleviates lipopolysaccharide-induced lung injury via inhibiting MAPK/NF-κB/NLRP3 pathway. Cell Communication and Signaling. 21(1). 66–66. 30 indexed citations

11.

Wu, Huizi, et al.. (2023). A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. 1260–1272. 10 indexed citations

12.

Sun, Zhu, Hui Fang, Jie Yang, et al.. (2022). DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 8206–8226. 12 indexed citations

13.

Fang, Hui, Xiaoming Li, & Jie Zhang. (2021). Integrating social influence modeling and user modeling for trust prediction in signed networks. Artificial Intelligence. 302. 103628–103628. 12 indexed citations

14.

Wu, Huizi, Shiyi Wang, & Hui Fang. (2021). LP-UIT: A Multimodal Framework for Link Prediction in Social Networks. 742–749. 2 indexed citations

15.

Fang, Hui, Jie Zhang, & Murat Şensoy. (2020). A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”. Electronic Commerce Research and Applications. 40. 100955–100955.

16.

Li, Xiaoming, Hui Fang, & Jie Zhang. (2019). Supervised User Ranking in Signed Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 184–191. 7 indexed citations

17.

Bao, Yang, Hui Fang, & Jie Zhang. (2014). TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 206 indexed citations

18.

Fang, Hui, Jie Zhang, Murat Şensoy, & Nadia Magnenat‐Thalmann. (2012). A Generalized Stereotypical Trust Model. DR-NTU (Nanyang Technological University). 698–705. 14 indexed citations

19.

Gao, Wenxiu, et al.. (2010). Comparing intellectual and graphical complexities of traditional and image-derived landuse maps. Science in China. Series E, Technological sciences. 53(S1). 205–212. 1 indexed citations

20.

Fang, Hui & John C. Hart. (2004). Textureshop. 354–359. 21 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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