Raphael Tang

1.9k total citations
25 papers, 637 citations indexed

About

Raphael Tang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raphael Tang has authored 25 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raphael Tang's work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech Recognition and Synthesis (7 papers). Raphael Tang is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Speech Recognition and Synthesis (7 papers). Raphael Tang collaborates with scholars based in Canada, United States and South Korea. Raphael Tang's co-authors include Jimmy Lin, Ji Xin, Yaoliang Yu, Jaejun Lee, Ashutosh Adhikari, Achyudh Ram, Zhiying Jiang, Ferhan Türe, Linqing Liu and Pontus Stenetorp and has published in prestigious journals such as Research at the University of Copenhagen (University of Copenhagen), arXiv (Cornell University) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Raphael Tang

25 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Tang Canada 11 497 178 134 54 37 25 637
Ebru Arısoy Türkiye 15 888 1.8× 211 1.2× 242 1.8× 58 1.1× 37 1.0× 40 1.0k
Yao Zhao China 10 366 0.7× 284 1.6× 111 0.8× 52 1.0× 18 0.5× 53 589
Xuancheng Ren China 15 553 1.1× 282 1.6× 48 0.4× 52 1.0× 25 0.7× 41 739
Ashish Verma India 13 338 0.7× 151 0.8× 239 1.8× 62 1.1× 28 0.8× 69 563
X. D. Zhang United States 12 456 0.9× 109 0.6× 45 0.3× 111 2.1× 21 0.6× 30 557
Mohsen Rashwan Egypt 16 486 1.0× 213 1.2× 95 0.7× 59 1.1× 15 0.4× 78 685
Rowan Zellers United States 8 729 1.5× 257 1.4× 103 0.8× 44 0.8× 11 0.3× 13 911
Damai Dai China 10 359 0.7× 125 0.7× 26 0.2× 67 1.2× 14 0.4× 18 530
Lidia S. Chao Macao 16 801 1.6× 247 1.4× 40 0.3× 96 1.8× 16 0.4× 80 919
Ben Athiwaratkun United States 8 446 0.9× 117 0.7× 113 0.8× 86 1.6× 9 0.2× 12 564

Countries citing papers authored by Raphael Tang

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Tang. A scholar is included among the top collaborators of Raphael Tang 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 Raphael Tang. Raphael Tang 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.
2.
Tang, Raphael, et al.. (2024). Understanding Retrieval Robustness for Retrieval-augmented Image Captioning. Research at the University of Copenhagen (University of Copenhagen). 9285–9299. 2 indexed citations
3.
Tang, Raphael, et al.. (2024). "Ask Me Anything": How Comcast Uses LLMs to Assist Agents in Real Time. arXiv (Cornell University). 2827–2831. 2 indexed citations
4.
Zhang, Xinyu, Raphael Tang, Weijia Zhang, et al.. (2024). FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture. Research at the University of Copenhagen (University of Copenhagen). 19077–19095. 2 indexed citations
5.
Tang, Raphael, Linqing Liu, Zhiying Jiang, et al.. (2023). What the DAAM: Interpreting Stable Diffusion Using Cross Attention. 5644–5659. 45 indexed citations
6.
Jiang, Zhiying, et al.. (2023). “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors. 6810–6828. 21 indexed citations
7.
Tang, Raphael, et al.. (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. 285–293. 2 indexed citations
8.
Xin, Ji, Raphael Tang, Yaoliang Yu, & Jimmy Lin. (2021). BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression. 91–104. 52 indexed citations
9.
Xin, Ji, Raphael Tang, Yaoliang Yu, & Jimmy Lin. (2021). The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing. 22 indexed citations
10.
Jiang, Zhiying, Raphael Tang, Ji Xin, & Jimmy Lin. (2021). How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks. 496–509. 3 indexed citations
11.
Xin, Ji, Raphael Tang, Jaejun Lee, Yaoliang Yu, & Jimmy Lin. (2020). DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference. 2246–2251. 167 indexed citations
12.
Jiang, Zhiying, Raphael Tang, Ji Xin, & Jimmy Lin. (2020). Inserting Information Bottlenecks for Attribution in Transformers. 3850–3857. 7 indexed citations
13.
Adhikari, Ashutosh, Achyudh Ram, Raphael Tang, William L. Hamilton, & Jimmy Lin. (2020). Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT. 72–77. 14 indexed citations
14.
Adhikari, Ashutosh, Achyudh Ram, Raphael Tang, & Jimmy Lin. (2019). Rethinking Complex Neural Network Architectures for Document Classification. 4046–4051. 58 indexed citations
15.
Tang, Raphael, et al.. (2019). Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting. 91–96. 2 indexed citations
16.
Tang, Raphael, Yao Lu, & Jimmy Lin. (2019). Natural Language Generation for Effective Knowledge Distillation. 202–208. 11 indexed citations
17.
Tang, Raphael, Ferhan Türe, & Jimmy Lin. (2019). Yelling at Your TV. 853–856. 5 indexed citations
18.
Lee, Jaejun, Raphael Tang, & Jimmy Lin. (2019). Universal voice-enabled user interfaces using JavaScript. 81–82. 3 indexed citations
19.
Tang, Raphael & Jimmy Lin. (2018). Deep Residual Learning for Small-Footprint Keyword Spotting. 5484–5488. 135 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ebru Arısoy Breakdown of academic impact, for papers by Yao Zhao Breakdown of academic impact, for papers by Xuancheng Ren Breakdown of academic impact, for papers by Ashish Verma Breakdown of academic impact, for papers by X. D. Zhang Breakdown of academic impact, for papers by Mohsen Rashwan Breakdown of academic impact, for papers by Rowan Zellers Breakdown of academic impact, for papers by Damai Dai Breakdown of academic impact, for papers by Lidia S. Chao Breakdown of academic impact, for papers by Ben Athiwaratkun
Rankless by CCL
2026