Wenliang Dai

2.0k total citations · 1 hit paper
18 papers, 691 citations indexed

About

Wenliang Dai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wenliang Dai has authored 18 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wenliang Dai's work include Electromagnetic Compatibility and Noise Suppression (6 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (4 papers). Wenliang Dai is often cited by papers focused on Electromagnetic Compatibility and Noise Suppression (6 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (4 papers). Wenliang Dai collaborates with scholars based in Hong Kong, United States and Sweden. Wenliang Dai's co-authors include Pascale Fung, Tiezheng Yu, Samuel Cahyawijaya, Ziwei Ji, Zihan Liu, Holy Lovenia, Yejin Bang, Dan Su, Bryan Wilie and Yan Xu and has published in prestigious journals such as IEEE Transactions on Components Packaging and Manufacturing Technology, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Wenliang Dai

17 papers receiving 668 citations

Hit Papers

A Multitask, Multilingual, Multimodal Evaluation of ChatG... 2023 2026 2024 2025 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenliang Dai Hong Kong 9 445 129 84 80 55 18 691
Samuel Cahyawijaya Hong Kong 11 620 1.4× 78 0.6× 79 0.9× 124 1.6× 13 0.2× 36 826
Jan Kocoń Poland 12 609 1.4× 43 0.3× 130 1.5× 61 0.8× 16 0.3× 53 822
John Hewitt United States 8 771 1.7× 183 1.4× 30 0.4× 86 1.1× 12 0.2× 11 975
Marcin Gruza Poland 8 405 0.9× 30 0.2× 125 1.5× 48 0.6× 14 0.3× 13 581
Piotr Miłkowski Poland 10 399 0.9× 28 0.2× 123 1.5× 44 0.6× 15 0.3× 17 581
Konrad Wojtasik Poland 3 252 0.6× 30 0.2× 118 1.4× 31 0.4× 48 0.9× 3 442
Teven Le Scao France 4 722 1.6× 137 1.1× 35 0.4× 68 0.8× 10 0.2× 5 819
Ian Tenney United States 11 791 1.8× 186 1.4× 16 0.2× 102 1.3× 14 0.3× 13 951
Kamil Kanclerz Poland 8 359 0.8× 27 0.2× 123 1.5× 41 0.5× 14 0.3× 11 529

Countries citing papers authored by Wenliang Dai

Since Specialization
Citations

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

Fields of papers citing papers by Wenliang Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenliang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Wenliang Dai. A scholar is included among the top collaborators of Wenliang Dai 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 Wenliang Dai. Wenliang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Chen, Delong, et al.. (2024). Visual Instruction Tuning with Polite Flamingo. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17745–17753. 7 indexed citations
2.
Lovenia, Holy, Wenliang Dai, Samuel Cahyawijaya, Ziwei Ji, & Pascale Fung. (2024). Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models. 37–58. 7 indexed citations
3.
Dai, Wenliang, Zihan Liu, Ziwei Ji, Dan Su, & Pascale Fung. (2023). Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2136–2148. 16 indexed citations
4.
Bang, Yejin, Samuel Cahyawijaya, Nayeon Lee, et al.. (2023). A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 675–718. 388 indexed citations breakdown →
5.
Chen, Guanhua, Lu Hou, Yun Chen, et al.. (2023). mCLIP: Multilingual CLIP via Cross-lingual Transfer. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 13028–13043. 5 indexed citations
6.
Dai, Wenliang, Lu Hou, Lifeng Shang, et al.. (2022). Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. Findings of the Association for Computational Linguistics: ACL 2022. 2383–2395. 38 indexed citations
7.
Yu, Tiezheng, Wenliang Dai, Zihan Liu, & Pascale Fung. (2021). Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 49 indexed citations
8.
Liu, Zihan, Yan Xu, Tiezheng Yu, et al.. (2021). CrossNER: Evaluating Cross-Domain Named Entity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13452–13460. 75 indexed citations
9.
Dai, Wenliang, Samuel Cahyawijaya, Zihan Liu, & Pascale Fung. (2021). Multimodal End-to-End Sparse Model for Emotion Recognition. 5305–5316. 46 indexed citations
10.
Yu, Tiezheng, Dan Su, Wenliang Dai, & Pascale Fung. (2020). Dimsum @LaySumm 20. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 303–309. 2 indexed citations
11.
Dai, Wenliang, Tiezheng Yu, Zihan Liu, & Pascale Fung. (2020). Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2060–2066. 12 indexed citations
12.
Schutt‐Ainé, José E., et al.. (2011). Comparative Study of Convolution and Order Reduction Techniques for Blackbox Macromodeling Using Scattering Parameters. IEEE Transactions on Components Packaging and Manufacturing Technology. 1(10). 1642–1650. 15 indexed citations
13.
Goh, Patrick, et al.. (2011). Partitioned latency insertion method (PLIM) with stability considerations. 107–110. 5 indexed citations
14.
Goh, Patrick, et al.. (2011). Partitioned Latency Insertion Method With a Generalized Stability Criteria. IEEE Transactions on Components Packaging and Manufacturing Technology. 1(9). 1447–1455. 21 indexed citations
15.
Schutt‐Ainé, José E., et al.. (2009). Application of the latency insertion method to circuits with blackbox macromodel representation. ap 14. 92–95. 2 indexed citations
16.
Dai, Wenliang. (2009). Power supply analysis in package and SiP design. 175–178. 1 indexed citations
17.
Dai, Wenliang. (2007). Power Integrity in Silicon-Package-Board Codesign Flow. 1–3. 1 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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