Fengqin Yang

601 total citations
25 papers, 429 citations indexed

About

Fengqin Yang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fengqin Yang has authored 25 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fengqin Yang's work include Speech and Audio Processing (3 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (3 papers). Fengqin Yang is often cited by papers focused on Speech and Audio Processing (3 papers), Topic Modeling (3 papers) and Web Data Mining and Analysis (3 papers). Fengqin Yang collaborates with scholars based in China and United States. Fengqin Yang's co-authors include Tieli Sun, Changhai Zhang, Minghao Yin, Xiangtao Li, Yanmei Hu, Wen-Xiang Gu, Jing Li, Hua Jiang, Yu Guan and Libiao Zhang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Fengqin Yang

21 papers receiving 406 citations

Peers

Fengqin Yang
Fun Ye Taiwan
Ho-Sung Park South Korea
Paulo Martins Engel Brazil
V. Susheela Devi India
Junhua Gu China
Jiayu Liang China
Rodrigo A. Coelho Brazil
Qiang Hua China
Mohamed Ettaouil Morocco
Fun Ye Taiwan
Fengqin Yang
Citations per year, relative to Fengqin Yang Fengqin Yang (= 1×) peers Fun Ye

Countries citing papers authored by Fengqin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fengqin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengqin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengqin Yang. A scholar is included among the top collaborators of Fengqin 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 Fengqin Yang. Fengqin 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.
Yang, Fengqin, et al.. (2025). Rehearsal-free continual few-shot relation extraction via contrastive weighted prompts. Neurocomputing. 633. 129741–129741.
2.
3.
Wang, Yixuan, et al.. (2024). Semantic-wise guidance for efficient multimodal emotion recognition with missing modalities. Multimedia Systems. 30(3). 2 indexed citations
4.
Yang, Fengqin, et al.. (2023). Continual text classification based on knowledge distillation and class-aware experience replay. Knowledge and Information Systems. 65(10). 3923–3944.
5.
Zhang, Shaoru, et al.. (2022). A Hierarchical Representation Model Based on Longformer and Transformer for Extractive Summarization. Electronics. 11(11). 1706–1706. 6 indexed citations
6.
Fang, Ming, et al.. (2020). Integrating Gaussian mixture model and dilated residual network for action recognition in videos. Multimedia Systems. 26(6). 715–725. 5 indexed citations
7.
Liu, Shuhua, et al.. (2019). Method for Detecting Chinese Texts in Natural Scenes Based on Improved Faster R-CNN. International Journal of Pattern Recognition and Artificial Intelligence. 34(2). 2053002–2053002. 7 indexed citations
8.
Yang, Fengqin, et al.. (2018). On blockwise symmetric matchgate signatures and higher domain #CSP. Information and Computation. 264. 1–11. 1 indexed citations
9.
Yang, Fengqin, et al.. (2017). Relevance popularity: A term event model based feature selection scheme for text classification. PLoS ONE. 12(4). e0174341–e0174341. 8 indexed citations
10.
Sun, Tieli, et al.. (2017). An improved optimum-path forest clustering algorithm for remote sensing image segmentation. Computers & Geosciences. 112. 38–46. 26 indexed citations
11.
Sun, Tieli, et al.. (2017). Remote sensing image classification using the spatial information obtained by statistical region merging. Remote Sensing Letters. 8(6). 567–575. 1 indexed citations
12.
Sun, Tieli, et al.. (2016). Prediction of Ubiquitination Sites with Feature-Weighting Scheme and Naive Bayes Vectorizer. Journal of Computational and Theoretical Nanoscience. 13(1). 286–293. 1 indexed citations
13.
Sun, Tieli, et al.. (2015). Research on Combinational Forecast Models for the Traffic Flow. Mathematical Problems in Engineering. 2015. 1–10. 10 indexed citations
14.
Sun, Tieli, et al.. (2012). Ontology Building Based on Two-layer Ontology Model. 1492–1494. 3 indexed citations
15.
Wu, Lanlan, et al.. (2011). Ontology-Based Information Extraction Technology. 9. 1–4. 2 indexed citations
16.
Yin, Minghao, Yanmei Hu, Fengqin Yang, Xiangtao Li, & Wen-Xiang Gu. (2011). A novel hybrid K-harmonic means and gravitational search algorithm approach for clustering. Expert Systems with Applications. 38(8). 9319–9324. 90 indexed citations
17.
Wang, Xiaoxue, et al.. (2010). A Sequential Pattern Mining algorithm with time constraints based on vertical format. 3479–3482. 2 indexed citations
18.
Yang, Fengqin, Tieli Sun, & Changhai Zhang. (2009). An efficient hybrid data clustering method based on K-harmonic means and Particle Swarm Optimization. Expert Systems with Applications. 36(6). 9847–9852. 151 indexed citations
19.
Yang, Fengqin, Changhai Zhang, & Tieli Sun. (2008). Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training. Proceedings - International Conference on Pattern Recognition. 1–4. 38 indexed citations
20.
Yang, Fengqin, et al.. (2008). A Novel Genetic Algorithm Based on Tabu Search for HMM Optimization. 3. 57–61. 9 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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