Liu Fang-ai

939 total citations
65 papers, 612 citations indexed

About

Liu Fang-ai is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Liu Fang-ai has authored 65 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 29 papers in Artificial Intelligence and 18 papers in Computer Networks and Communications. Recurrent topics in Liu Fang-ai's work include Recommender Systems and Techniques (17 papers), Sentiment Analysis and Opinion Mining (10 papers) and Topic Modeling (9 papers). Liu Fang-ai is often cited by papers focused on Recommender Systems and Techniques (17 papers), Sentiment Analysis and Opinion Mining (10 papers) and Topic Modeling (9 papers). Liu Fang-ai collaborates with scholars based in China, Italy and United Kingdom. Liu Fang-ai's co-authors include Lei Guo, Xiaohui Zhao, Tianlai Li, Xinhua Wang, Qianqian Wang, Jianhua Hao, Hui Yu, Mauro Conti, Qianqian Li and Sarada Prasad Gochhayat and has published in prestigious journals such as PLoS ONE, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Liu Fang-ai

54 papers receiving 591 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liu Fang-ai China 16 278 270 114 106 59 65 612
Hamed Vahdat‐Nejad Iran 10 187 0.7× 182 0.7× 137 1.2× 104 1.0× 76 1.3× 46 557
J. Javier Samper Spain 9 152 0.5× 227 0.8× 81 0.7× 74 0.7× 35 0.6× 40 404
Jiamou Liu New Zealand 13 280 1.0× 203 0.8× 94 0.8× 96 0.9× 76 1.3× 96 692
Manos Papagelis Canada 12 250 0.9× 194 0.7× 93 0.8× 101 1.0× 68 1.2× 46 726
Lionel Brunie France 11 303 1.1× 152 0.6× 182 1.6× 70 0.7× 60 1.0× 49 550
Pramod Anantharam United States 11 171 0.6× 141 0.5× 265 2.3× 124 1.2× 44 0.7× 22 574
Xiaoyao Zheng China 13 246 0.9× 220 0.8× 82 0.7× 80 0.8× 47 0.8× 54 507
Tom Lunney United Kingdom 10 144 0.5× 128 0.5× 119 1.0× 79 0.7× 39 0.7× 45 485
Xinjun Mao China 12 219 0.8× 181 0.7× 168 1.5× 49 0.5× 16 0.3× 118 510

Countries citing papers authored by Liu Fang-ai

Since Specialization
Citations

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

Fields of papers citing papers by Liu Fang-ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Fang-ai

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Fang-ai. A scholar is included among the top collaborators of Liu Fang-ai 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 Liu Fang-ai. Liu Fang-ai 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.
Fang-ai, Liu, et al.. (2025). Label-specific multi-label text classification based on dynamic graph convolutional networks. Soft Computing. 29(3). 1897–1909.
2.
Hao, Jianhua, Liu Fang-ai, & Weiwei Zhang. (2024). Multi-scale RWKV with 2-dimensional temporal convolutional network for short-term photovoltaic power forecasting. Energy. 309. 133068–133068. 9 indexed citations
3.
Fang-ai, Liu, et al.. (2024). Intrinsic Dependency Graph Convolutional Networks for Aspect Level Sentiment Analysis. 2. 1369–1374. 1 indexed citations
4.
Fang-ai, Liu, et al.. (2024). Dual-channel relative position guided attention networks for aspect-based sentiment analysis. Expert Systems with Applications. 253. 124271–124271. 7 indexed citations
5.
Fang-ai, Liu, et al.. (2024). Prototype-based sample-weighted distillation unified framework adapted to missing modality sentiment analysis. Neural Networks. 177. 106397–106397. 3 indexed citations
6.
Fang-ai, Liu, et al.. (2024). MICRank: Multi-information interconstrained keyphrase extraction. Expert Systems with Applications. 249. 123744–123744. 1 indexed citations
7.
Fang-ai, Liu, et al.. (2022). Transformer-Based Interactive Multi-Modal Attention Network for Video Sentiment Detection. Neural Processing Letters. 54(3). 1943–1960. 24 indexed citations
8.
Fang-ai, Liu, et al.. (2022). Speech Sentiment Analysis Using Hierarchical Conformer Networks. Applied Sciences. 12(16). 8076–8076. 3 indexed citations
9.
Fang-ai, Liu, et al.. (2022). A novel flow-vector generation approach for malicious traffic detection. Journal of Parallel and Distributed Computing. 169. 72–86. 20 indexed citations
10.
Fang-ai, Liu, et al.. (2019). Recommendation Based on Users’ Long‐Term and Short‐Term Interests with Attention. Mathematical Problems in Engineering. 2019(1). 13 indexed citations
11.
Fang-ai, Liu, et al.. (2017). Research on the Application of Persona in Book Recommendation System. Journal of Physics Conference Series. 910. 12023–12023. 5 indexed citations
12.
Fang-ai, Liu, et al.. (2016). Parallel high utility pattern mining algorithm based on cluster partition. 36(8). 2202–2206. 6 indexed citations
13.
Fang-ai, Liu. (2012). Design of Project Approval System Based on Struts and AJAX.
14.
Fang-ai, Liu. (2011). Multi-interest clustering P2P network model. Jisuanji yingyong yanjiu.
15.
Fang-ai, Liu. (2011). An adaptive particle swarm optimization based on reinforcement learning. Kongzhi yu juece.
16.
Fang-ai, Liu. (2010). An Efficient Resources Search Strategy in Unstructured P2P Networks. Computer Technology and Development. 1 indexed citations
17.
Fang-ai, Liu. (2007). An Image Retrieval Combining Color and Shape Feature. Microelectronics & Computer.
18.
Fang-ai, Liu. (2007). Research on strategy of member selection and results integration of meta search engine. Jisuanji gongcheng yu sheji. 1 indexed citations
19.
Fang-ai, Liu. (2006). Data Selection Strategies Based on Ant System. Computer Engineering and Applications Journal. 1 indexed citations
20.
Fang-ai, Liu. (2004). Broadcast in the Locally K-subcube-connected Hypercube Networks with Fault Tolerance. Jisuanji gongcheng.

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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