Lingwei Wei

948 total citations
21 papers, 465 citations indexed

About

Lingwei Wei is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Lingwei Wei has authored 21 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Sociology and Political Science and 4 papers in Information Systems. Recurrent topics in Lingwei Wei's work include Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers) and Misinformation and Its Impacts (5 papers). Lingwei Wei is often cited by papers focused on Topic Modeling (9 papers), Sentiment Analysis and Opinion Mining (7 papers) and Misinformation and Its Impacts (5 papers). Lingwei Wei collaborates with scholars based in China and Poland. Lingwei Wei's co-authors include Dou Hu, Songlin Hu, Wei Zhou, Wei Zhou, Qianwen Ma, Wei Zhou, Yuping Zhao, Daren Zha, Yijun Su and Yaxin Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia and arXiv (Cornell University).

In The Last Decade

Lingwei Wei

18 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingwei Wei China 9 327 227 100 66 54 21 465
Dou Hu China 7 319 1.0× 216 1.0× 100 1.0× 58 0.9× 52 1.0× 18 441
Saurabh Raj Sangwan India 11 230 0.7× 31 0.1× 72 0.7× 94 1.4× 26 0.5× 19 344
Puneet Agrawal India 4 357 1.1× 121 0.5× 30 0.3× 49 0.7× 9 0.2× 13 437
Changhua Yang Taiwan 7 387 1.2× 50 0.2× 24 0.2× 84 1.3× 35 0.6× 17 439
Georgios Rizos United Kingdom 10 173 0.5× 66 0.3× 12 0.1× 32 0.5× 48 0.9× 21 305
Ankush Chatterjee India 3 356 1.1× 121 0.5× 30 0.3× 45 0.7× 9 0.2× 5 426
Homa Hosseinmardi United States 8 164 0.5× 28 0.1× 29 0.3× 34 0.5× 129 2.4× 15 325
Wenbo Wang China 7 235 0.7× 49 0.2× 29 0.3× 50 0.8× 22 0.4× 21 306
Lalindra De Silva United States 6 365 1.1× 32 0.1× 39 0.4× 75 1.1× 36 0.7× 6 448
Ante Odić Slovenia 7 105 0.3× 51 0.2× 27 0.3× 175 2.7× 11 0.2× 12 292

Countries citing papers authored by Lingwei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lingwei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingwei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Lingwei Wei. A scholar is included among the top collaborators of Lingwei Wei 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 Lingwei Wei. Lingwei Wei 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.
Li, Wentao, Lingwei Wei, Witold Pedrycz, et al.. (2025). Granular-Ball Regeneration Clustering With Principle of Justifiable Granularity. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 18173–18187.
2.
Wei, Lingwei, et al.. (2025). Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence. 39(22). 23514–23522.
3.
Hu, Dou, Lingwei Wei, Wei Zhou, & Songlin Hu. (2025). An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 17276–17286.
4.
Wei, Lingwei, et al.. (2024). Disentangled Contrastive Hypergraph Learning for Next POI Recommendation. 1452–1462. 13 indexed citations
5.
Cao, Han, Lingwei Wei, Wei Zhou, & Songlin Hu. (2024). Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification. 1–6. 1 indexed citations
6.
Su, Yijun, et al.. (2024). Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation. 7320–7324. 4 indexed citations
7.
Hu, Dou, Lingwei Wei, Yaxin Liu, Wei Zhou, & Songlin Hu. (2024). Structured Probabilistic Coding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(11). 12491–12501. 1 indexed citations
8.
Wei, Lingwei, Dou Hu, Wei Zhou, & Songlin Hu. (2024). Transferring Structure Knowledge: A New Task to Fake News Detection towards Cold-Start Propagation. 8045–8049. 1 indexed citations
9.
Hu, Dou, et al.. (2023). Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations. 10835–10852. 35 indexed citations
10.
Hu, Dou, Lingwei Wei, Yaxin Liu, Wei Zhou, & Songlin Hu. (2023). UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis. 1849–1857. 3 indexed citations
11.
Wei, Lingwei, Dou Hu, Wei Zhou, & Songlin Hu. (2023). Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection. IEEE Transactions on Multimedia. 25. 7906–7916. 8 indexed citations
12.
Hu, Dou, et al.. (2022). MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7037–7041. 104 indexed citations
13.
Ma, Qianwen, et al.. (2022). Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction. Findings of the Association for Computational Linguistics: ACL 2022. 1203–1213. 15 indexed citations
14.
Wei, Lingwei, et al.. (2022). Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach. IEEE Transactions on Neural Networks and Learning Systems. 35(2). 2522–2533. 30 indexed citations
15.
Ma, Qianwen, et al.. (2022). Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4051–4057. 16 indexed citations
16.
17.
Hu, Dou, et al.. (2021). DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations. 7042–7052. 143 indexed citations
18.
Hu, Dou, et al.. (2021). A Rumor Detection Approach Based on Multi-Relational Propagation Tree. 58(7). 1395. 5 indexed citations
19.
Hu, Dou & Lingwei Wei. (2020). SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER. arXiv (Cornell University). 413–417. 2 indexed citations
20.
Wei, Lingwei, et al.. (2019). Overlapping Community Detection of Complex Network: A Survey. 513–516. 4 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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