Jianfei Yu

3.1k total citations
49 papers, 1.8k citations indexed

About

Jianfei Yu is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jianfei Yu has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 5 papers in Experimental and Cognitive Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jianfei Yu's work include Sentiment Analysis and Opinion Mining (33 papers), Topic Modeling (32 papers) and Advanced Text Analysis Techniques (20 papers). Jianfei Yu is often cited by papers focused on Sentiment Analysis and Opinion Mining (33 papers), Topic Modeling (32 papers) and Advanced Text Analysis Techniques (20 papers). Jianfei Yu collaborates with scholars based in China, Singapore and Canada. Jianfei Yu's co-authors include Jing Jiang, Rui Xia, Rui Xia, Zixiang Ding, Yang Li, Feng Xu, Li Yang, Jin‐Cheon Na, Kai Chen and Ying Ding and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Information Processing & Management.

In The Last Decade

Jianfei Yu

46 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianfei Yu China 23 1.6k 268 167 97 96 49 1.8k
Claire Gardent France 17 1.1k 0.7× 139 0.5× 108 0.6× 30 0.3× 57 0.6× 110 1.3k
Alessandro Sordoni Canada 15 1.6k 1.0× 468 1.7× 243 1.5× 29 0.3× 32 0.3× 39 1.7k
Sandra Kübler United States 17 2.1k 1.3× 119 0.4× 217 1.3× 39 0.4× 26 0.3× 97 2.2k
Manaal Faruqui United States 13 1.4k 0.9× 187 0.7× 87 0.5× 27 0.3× 25 0.3× 46 1.5k
Antoine Bosselut United States 13 1.0k 0.6× 259 1.0× 107 0.6× 24 0.2× 45 0.5× 49 1.1k
Ian Tenney United States 11 791 0.5× 186 0.7× 102 0.6× 29 0.3× 22 0.2× 13 951
Mrinmaya Sachan Switzerland 16 733 0.4× 194 0.7× 96 0.6× 30 0.3× 48 0.5× 93 879
Minlie Huang China 12 890 0.5× 163 0.6× 90 0.5× 28 0.3× 101 1.1× 35 1.0k
William B. Dolan United States 17 2.0k 1.3× 680 2.5× 182 1.1× 29 0.3× 31 0.3× 24 2.4k
Micha Elsner United States 16 783 0.5× 67 0.3× 106 0.6× 39 0.4× 78 0.8× 46 922

Countries citing papers authored by Jianfei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jianfei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfei Yu. A scholar is included among the top collaborators of Jianfei Yu 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 Jianfei Yu. Jianfei Yu 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.
Yu, Jianfei, et al.. (2025). Mapping forage nutritional quality in temperate natural grasslands using interpretable machine learning. Ecological Informatics. 92. 103452–103452.
2.
Yu, Jianfei, et al.. (2024). From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations. IEEE Transactions on Affective Computing. 16(2). 586–597. 1 indexed citations
3.
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Song, Nan, et al.. (2023). A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis. 7687–7698. 1 indexed citations
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7.
Xu, Feng, et al.. (2023). UniCOQE: Unified Comparative Opinion Quintuple Extraction As A Set. 12229–12240. 2 indexed citations
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Yu, Jianfei, et al.. (2023). Grounded Multimodal Named Entity Recognition on Social Media. 9141–9154. 11 indexed citations
10.
Yu, Jianfei, Qiankun Zhao, & Rui Xia. (2023). Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis. 1456–1470. 8 indexed citations
11.
Wang, Jieming, et al.. (2023). Fine-Grained Multimodal Named Entity Recognition and Grounding with a Generative Framework. 3934–3943. 4 indexed citations
12.
Yan, Ling, Jianfei Yu, & Rui Xia. (2022). Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2149–2159. 64 indexed citations
13.
Xia, Rui, et al.. (2021). Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions. 340–350. 94 indexed citations
14.
Ding, Zixiang, Rui Xia, & Jianfei Yu. (2020). End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning. 3574–3583. 49 indexed citations
15.
Ding, Zixiang, Rui Xia, & Jianfei Yu. (2020). ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. 3161–3170. 81 indexed citations
16.
17.
Yu, Jianfei, et al.. (2020). Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis. 7035–7045. 43 indexed citations
18.
Tu, Yaofeng, et al.. (2020). Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. 833–843. 67 indexed citations
19.
Yu, Jianfei & Jing Jiang. (2017). Leveraging auxiliary tasks for document-level cross-domain sentiment classification. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1. 654–663. 5 indexed citations
20.
Yu, Jianfei & Jing Jiang. (2016). Pairwise relation classification with mirror instances and a combined convolutional neural network. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 2366–2377. 2 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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