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

Peers

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

#	Work	Indexed citations
1	Depression and anxiety in patients with breast cancer receiving radiotherapy: a longitudinal study 2025 ·Therapeutic Advances in Medical Oncology ·(unknown), (unknown), (unknown), Wei Zhang, (unknown), Hui Fang, Jing Hao, Yu Tang, (unknown), Shu‐Nan Qi, Yong-Wen Song, Wenwen Zhang, Ning-Ning Lu, Yuan Tang, Yue‐Ping Liu, Bo Chen, Xin Liu, Ye‐Xiong Li, Yirui Zhai, (unknown), (unknown)	0
2	Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Qiang He, (unknown), Hui Fang, Xingwei Wang, Lianbo Ma, Keping Yu, Jie Zhang	20
3	Adaptive In-Context Learning with Large Language Models for Bundle Generation 2024 ·Zhu Sun, (unknown), Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu	2
4	Revisiting Bundle Recommendation for Intent-aware Product Bundling 2024 ·Zhu Sun, (unknown), Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu	3
5	Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach 2024 ·ACM Transactions on Knowledge Discovery from Data ·(unknown), Hui Fang	3
6	Purpose tendency-aware diversified strategy for effective session-based recommendation 2023 ·Electronic Commerce Research and Applications ·(unknown), Danning Zhang, Hui Fang, Zhu Sun	3
7	Understanding Diversity in Session-based Recommendation 2023 ·ACM Transactions on Information Systems ·(unknown), Hui Fang, Zhu Sun, Yew-Soon Ong	7
8	Improving the identification of miRNA–disease associations with multi-task learning on gene–disease networks 2023 ·Briefings in Bioinformatics ·Qiang He, Wei Qiao, Hui Fang, Yang Bao	17
9	Decentralized Matrix Factorization with Heterogeneous Differential Privacy 2023 ·(unknown), Hui Fang	1
10	Up-regulated CD38 by daphnetin alleviates lipopolysaccharide-induced lung injury via inhibiting MAPK/NF-κB/NLRP3 pathway 2023 ·Cell Communication and Signaling ·(unknown), Huiqing Zhang, (unknown), (unknown), Dan Li, Hui Fang, Jing You, Lijun Yu, Rong Li	30
11	Meta-CRS: A Dynamic Meta-Learning Approach for Effective Conversational Recommender System 2023 ·ACM Transactions on Information Systems ·(unknown), (unknown), Hui Fang, (unknown), (unknown), Daqian Li, (unknown), Jie Zhang	4
12	DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation 2022 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, (unknown), (unknown), Yew-Soon Ong, Jie Zhang	12
13	DTCRSKG: A Deep Travel Conversational Recommender System Incorporating Knowledge Graph 2022 ·Mathematics ·Hui Fang, Chongcheng Chen, Yunfei Long, Ge Xu, (unknown)	8
14	Integrating social influence modeling and user modeling for trust prediction in signed networks 2021 ·Artificial Intelligence ·Hui Fang, Xiaoming Li, Jie Zhang	12
15	A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling” 2020 ·Electronic Commerce Research and Applications ·Hui Fang, Jie Zhang, Murat Şensoy	0
16	Supervised User Ranking in Signed Social Networks 2019 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Xiaoming Li, Hui Fang, Jie Zhang	7
17	TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation 2014 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yang Bao, Hui Fang, Jie Zhang	206
18	RepRev: Mitigating the Negative Effects of Misreported Ratings 2014 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Yuan Liu, Siyuan Liu, Jie Zhang, Hui Fang, Han Yu, Chunyan Miao	3
19	Comparing intellectual and graphical complexities of traditional and image-derived landuse maps 2010 ·Science in China. Series E, Technological sciences ·Wenxiu Gao, Alfred Stein, Jianya Gong, Hui Fang, (unknown)	1
20	Textureshop 2004 ·Hui Fang, John C. Hart	21

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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