Wei Ai

497 total citations
35 papers, 234 citations indexed

About

Wei Ai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Wei Ai has authored 35 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Wei Ai's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (7 papers) and Emotion and Mood Recognition (6 papers). Wei Ai is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (7 papers) and Emotion and Mood Recognition (6 papers). Wei Ai collaborates with scholars based in China, United States and United Arab Emirates. Wei Ai's co-authors include Tao Meng, Yuntao Shou, Keqin Li, Yanming Liu, Xuyang Chen, Xiaoping Li, Xiaoping Li, Haiyan Liu, Kai Xie and Bo Yao and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Wei Ai

29 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Ai China 9 70 56 45 42 33 35 234
H. G. Virani India 10 37 0.5× 170 3.0× 70 1.6× 25 0.6× 61 1.8× 35 313
Rik Das India 10 86 1.2× 33 0.6× 180 4.0× 3 0.1× 14 0.4× 55 338
Ewen Maclean Switzerland 9 65 0.9× 95 1.7× 16 0.4× 26 0.6× 71 2.2× 50 257
Shahram Dehdashti China 11 90 1.3× 31 0.6× 14 0.3× 5 0.1× 51 1.5× 29 293
Juan Guo China 7 111 1.6× 52 0.9× 21 0.5× 11 0.3× 12 0.4× 23 393
Weixiang Liu China 9 61 0.9× 17 0.3× 106 2.4× 7 0.2× 9 0.3× 20 305
Xiaofeng Gong China 11 26 0.4× 28 0.5× 31 0.7× 4 0.1× 25 0.8× 26 373
Philip Haeusser United States 3 156 2.2× 28 0.5× 129 2.9× 26 0.6× 5 0.2× 3 274

Countries citing papers authored by Wei Ai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Ai

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Ai. A scholar is included among the top collaborators of Wei 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 Wei Ai. Wei 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.
Zhang, Yiping, Yuntao Shou, Wei Ai, Tao Meng, & Keqin Li. (2025). LRA-GNN: Latent Relation-Aware Graph Neural Network with initial and Dynamic Residual for facial age estimation. Expert Systems with Applications. 273. 126819–126819. 3 indexed citations
2.
Meng, Tao, et al.. (2025). SE-GNN: Seed Expanded-Aware Graph Neural Network With Iterative Optimization for Semi-Supervised Entity Alignment. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3700–3713.
3.
Liu, Zhen, et al.. (2025). Large Language Models Meet Graph Neural Networks: A Perspective of Graph Mining. Mathematics. 13(7). 1147–1147.
4.
Shou, Yuntao, et al.. (2024). Adversarial alignment and graph fusion via information bottleneck for multimodal emotion recognition in conversations. Information Fusion. 112. 102590–102590. 5 indexed citations
5.
Meng, Tao, Yuntao Shou, Wei Ai, Nan Yin, & Keqin Li. (2024). Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations. IEEE Transactions on Artificial Intelligence. 5(12). 6472–6487. 17 indexed citations
6.
Tong, Zhao, et al.. (2024). Stackelberg Game-Based Bandwidth Allocation and Resource Pricing for Multiuser in MEC System. IEEE Internet of Things Journal. 11(13). 23737–23751. 10 indexed citations
7.
Ai, Wei, Yuntao Shou, Tao Meng, & Keqin Li. (2024). DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 4908–4921. 17 indexed citations
8.
Zhang, Yiping, Yuntao Shou, Wei Ai, Tao Meng, & Keqin Li. (2024). GroupFace: Imbalanced Age Estimation Based on Multi-Hop Attention Graph Convolutional Network and Group-Aware Margin Optimization. IEEE Transactions on Information Forensics and Security. 20. 605–619. 4 indexed citations
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Meng, Tao, et al.. (2024). Masked Graph Learning With Recurrent Alignment for Multimodal Emotion Recognition in Conversation. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 4298–4312. 8 indexed citations
13.
Liu, Jing, et al.. (2024). Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 74–80. 6 indexed citations
14.
Meng, Tao, et al.. (2023). A Multi-Message Passing Framework Based on Heterogeneous Graphs in Conversational Emotion Recognition. SSRN Electronic Journal. 1 indexed citations
15.
Meng, Tao, et al.. (2023). A multi-message passing framework based on heterogeneous graphs in conversational emotion recognition. Neurocomputing. 569. 127109–127109. 15 indexed citations
16.
Ai, Wei, et al.. (2023). A multi-semantic passing framework for semi-supervised long text classification. Applied Intelligence. 53(17). 20174–20190. 6 indexed citations
17.
Chen, Xuyang, et al.. (2018). Improved Scattering-Matrix Method and its Application to Analysis of Electromagnetic Wave Reflected by Reentry Plasma Sheath. IEEE Transactions on Plasma Science. 46(5). 1755–1767. 28 indexed citations
18.
Ai, Wei. (2007). Dynamic Characteristics of Photosynthetic Rate and Carbon Assimilation Enzyme Activities of Different Green Organs in Different Genotypes of Wheat. ACTA AGRONOMICA SINICA. 3 indexed citations
19.
Ai, Wei. (2007). Familiar flaw,disfiguration and prevention of membrane structures. 1 indexed citations
20.
Ai, Wei. (2000). Effect of IAA on soybean seedling's membrance injury and salt resistance. Xibei zhiwu xuebao. 3 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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