Penghui Wei

574 total citations
20 papers, 366 citations indexed

About

Penghui Wei is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Penghui Wei has authored 20 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Penghui Wei's work include Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (8 papers) and Recommender Systems and Techniques (8 papers). Penghui Wei is often cited by papers focused on Topic Modeling (10 papers), Sentiment Analysis and Opinion Mining (8 papers) and Recommender Systems and Techniques (8 papers). Penghui Wei collaborates with scholars based in China and United States. Penghui Wei's co-authors include Wenji Mao, Nan Xu, Daniel Zeng, Junjie Lin, Bo Zheng, Liang Wang, Weimin Zhang, Jiahao Zhao, Kuang-Chih Lee and Li Liu and has published in prestigious journals such as Knowledge-Based Systems, IEEE Intelligent Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Penghui Wei

18 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penghui Wei China 10 307 79 73 47 37 20 366
Ghazaleh Beigi United States 7 138 0.4× 62 0.8× 77 1.1× 14 0.3× 37 1.0× 14 195
Kaisong Song China 11 282 0.9× 71 0.9× 20 0.3× 33 0.7× 19 0.5× 28 315
Tyler Neylon United States 4 407 1.3× 69 0.9× 46 0.6× 11 0.2× 24 0.6× 7 436
Naoki Yoshinaga Japan 14 348 1.1× 55 0.7× 24 0.3× 73 1.6× 19 0.5× 54 407
Nobuhiro Kaji Japan 10 428 1.4× 69 0.9× 21 0.3× 15 0.3× 22 0.6× 35 449
Hao Fu China 9 164 0.5× 144 1.8× 47 0.6× 56 1.2× 40 1.1× 11 278
Faiçal Azouaou Algeria 10 300 1.0× 80 1.0× 29 0.4× 19 0.4× 19 0.5× 28 362
Hui Yin China 8 139 0.5× 45 0.6× 52 0.7× 25 0.5× 9 0.2× 19 257
Takashi Inui Japan 7 391 1.3× 66 0.8× 33 0.5× 13 0.3× 33 0.9× 23 439
Ahmed Abbasi Pakistan 7 129 0.4× 47 0.6× 41 0.6× 42 0.9× 9 0.2× 9 215

Countries citing papers authored by Penghui Wei

Since Specialization
Citations

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

Fields of papers citing papers by Penghui Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghui Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Penghui Wei. A scholar is included among the top collaborators of Penghui 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 Penghui Wei. Penghui 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.
Wei, Penghui, et al.. (2023). FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3037–3046. 8 indexed citations
2.
Mu, Shanlei, et al.. (2023). Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. 1857–1866. 2 indexed citations
6.
Wei, Penghui, et al.. (2022). UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. Proceedings of the ACM Web Conference 2022. 2078–2087. 15 indexed citations
7.
Wei, Penghui, et al.. (2022). Posterior Probability Matters. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2645–2649. 6 indexed citations
8.
Wei, Penghui, et al.. (2022). AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4635–4639. 21 indexed citations
9.
Mao, Wenji, et al.. (2021). Knowledge structure driven prototype learning and verification for fact checking. Knowledge-Based Systems. 238. 107910–107910. 3 indexed citations
10.
Wei, Penghui, Jiahao Zhao, & Wenji Mao. (2021). A Graph-to-Sequence Learning Framework for Summarizing Opinionated Texts. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 1650–1660. 8 indexed citations
12.
Wei, Penghui, et al.. (2021). AutoHERI. 3528–3532. 6 indexed citations
13.
Wei, Penghui, et al.. (2020). Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction. 3171–3181. 77 indexed citations
14.
Xu, Nan, Wenji Mao, Penghui Wei, & Daniel Zeng. (2020). MDA: Multimodal Data Augmentation Framework for Boosting Performance on Sentiment/Emotion Classification Tasks. IEEE Intelligent Systems. 36(6). 3–12. 20 indexed citations
15.
Wei, Penghui, Nan Xu, & Wenji Mao. (2019). Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity. 4786–4797. 55 indexed citations
16.
Wei, Penghui, et al.. (2019). A Topic-Aware Reinforced Model for Weakly Supervised Stance Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7249–7256. 16 indexed citations
17.
Wei, Penghui & Wenji Mao. (2019). Modeling Transferable Topics for Cross-Target Stance Detection. 1173–1176. 41 indexed citations
18.
Wei, Penghui, et al.. (2019). Context-Aware Multi-View Attention Networks for Emotion Cause Extraction. 12 indexed citations
19.
Wei, Penghui, Wenji Mao, & Daniel Zeng. (2018). A Target-Guided Neural Memory Model for Stance Detection in Twitter. 1–8. 30 indexed citations
20.
Wei, Penghui, Junjie Lin, & Wenji Mao. (2018). Multi-Target Stance Detection via a Dynamic Memory-Augmented Network. 1229–1232. 36 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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