Freda Shi

500 total citations · 1 hit paper
3 papers, 31 citations indexed

About

Freda Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Freda Shi has authored 3 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Signal Processing. Recurrent topics in Freda Shi's work include Natural Language Processing Techniques (2 papers), Machine Learning in Healthcare (1 paper) and Music and Audio Processing (1 paper). Freda Shi is often cited by papers focused on Natural Language Processing Techniques (2 papers), Machine Learning in Healthcare (1 paper) and Music and Audio Processing (1 paper). Freda Shi collaborates with scholars based in United States, Singapore and United Kingdom. Freda Shi's co-authors include S. Shi, Yafu Li, Tingchen Fu, Yanwen Zhang, Yulong Chen, Wei Bi, Xinting Huang, Yue Zhang, Longyue Wang and Leyang Cui and has published in prestigious journals such as Computational Linguistics and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Freda Shi

2 papers receiving 29 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models

2025 27 citations Yue Zhang, Yafu Li et al. Computational Linguistics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Freda Shi United States	2	15	3	3	1	1	3	31
Anthony Ferritto United States	2	19 1.3×	3 1.0×	2 0.7×	1 1.0×		4	22
Orevaoghene Ahia United States	4	27 1.8×	2 0.7×	2 0.7×			10	28
Vinija Jain United States	3	17 1.1×	2 0.7×	4 1.3×	2 2.0×		11	28
Nino Vieillard United States	2	16 1.1×	2 0.7×	3 1.0×		1 1.0×	2	19
Adrià Garriga-Alonso United Kingdom	2	12 0.8×	3 1.0×			1 1.0×	4	15
Liam Fowl United States	3	14 0.9×	4 1.3×		1 1.0×		9	16
Polina Zablotskaia United States	3	18 1.2×	4 1.3×				3	20
X. Yuan China	3	12 0.8×	4 1.3×				6	17
Kartikeya Badola India	2	22 1.5×	3 1.0×		1 1.0×		3	23
Siu-Ming Yiu Hong Kong	2	15 1.0×	2 0.7×		1 1.0×		2	16

Countries citing papers authored by Freda Shi

Since Specialization

Citations

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

Fields of papers citing papers by Freda Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freda Shi

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

All Works

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3 of 3 papers shown

1.

Zhang, Yue, Yafu Li, Leyang Cui, et al.. (2025). 🧜Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. Computational Linguistics. 51(4). 1373–1418. 27 indexed citations breakdown →

2.

Lai, Cheng-I, Freda Shi, Yoon Kim, et al.. (2023). Audio-Visual Neural Syntax Acquisition. 1–8.

3.

Shi, Freda, Kevin Gimpel, & Karen Livescu. (2022). Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 6547–6563. 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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