Yuling Gu

466 total citations · 1 hit paper
12 papers, 215 citations indexed

About

Yuling Gu is a scholar working on Artificial Intelligence, Surgery and Molecular Biology. According to data from OpenAlex, Yuling Gu has authored 12 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Yuling Gu's work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yuling Gu is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Yuling Gu collaborates with scholars based in United States, China and Germany. Yuling Gu's co-authors include Niket Tandon, Kurt Gray, Peter Clark, Bhavana Dalvi, Xiankai Li, Hao Ding, Edward A. Fisher, Guofu Zhu, Yujia Liu and Ying Zhang and has published in prestigious journals such as Trends in Cognitive Sciences, Arteriosclerosis Thrombosis and Vascular Biology and BioMed Research International.

In The Last Decade

Yuling Gu

10 papers receiving 210 citations

Hit Papers

Can AI language models replace human participants? 2023 2026 2024 2025 2023 50 100 150
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.

  1. Can AI language models replace human participants?
    2023 177 citations Niket Tandon, Yuling Gu et al. Trends in Cognitive Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuling Gu United States 4 93 41 30 25 20 12 215
Omar Ahmed Shaikh Pakistan 2 119 1.3× 39 1.0× 35 1.2× 7 0.3× 14 0.7× 5 208
Peter S. Park United States 7 69 0.7× 53 1.3× 13 0.4× 12 0.5× 33 1.6× 8 190
Marcel Binz Germany 5 167 1.8× 53 1.3× 19 0.6× 55 2.2× 24 1.2× 8 322
Maria Antoniak United States 6 129 1.4× 42 1.0× 37 1.2× 7 0.3× 13 0.7× 23 239
Kellie Webster United States 7 255 2.7× 22 0.5× 17 0.6× 14 0.6× 50 2.5× 11 328
Paul Röttger United Kingdom 8 132 1.4× 25 0.6× 11 0.4× 10 0.4× 28 1.4× 26 189
Simone Conia Italy 10 270 2.9× 18 0.4× 8 0.3× 12 0.5× 21 1.1× 25 352
Erica J. Yoon United States 6 52 0.6× 33 0.8× 4 0.1× 28 1.1× 10 0.5× 10 310
Ida Kaniawati Indonesia 20 31 0.3× 23 0.6× 8 0.3× 7 0.3× 9 0.5× 218 1.3k
Shrimai Prabhumoye United States 7 274 2.9× 28 0.7× 16 0.5× 6 0.2× 18 0.9× 10 346

Countries citing papers authored by Yuling Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuling Gu

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

All Works

12 of 12 papers shown
1.
Gu, Yuling, et al.. (2025). OLMES: A Standard for Language Model Evaluations. 5005–5033. 1 indexed citations
2.
Gu, Yuling, Oyvind Tafjord, & Peter E. Clark. (2024). Digital Socrates: Evaluating LLMs through Explanation Critiques. 5559–5586.
3.
Jiang, Dongyang, Hao Liu, Guofu Zhu, et al.. (2023). Endothelial PHACTR1 Promotes Endothelial Activation and Atherosclerosis by Repressing PPARγ Activity Under Disturbed Flow in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 43(8). e303–e322. 10 indexed citations
4.
Gu, Yuling, et al.. (2023). Do language models have coherent mental models of everyday things?. 2 indexed citations
5.
Tandon, Niket, et al.. (2023). Can AI language models replace human participants?. Trends in Cognitive Sciences. 27(7). 597–600. 177 indexed citations breakdown →
6.
7.
Gu, Yuling, et al.. (2022). Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. 84–93. 3 indexed citations
8.
Gu, Yuling, Bhavana Dalvi, & Peter Clark. (2022). DREAM: Improving Situational QA by First Elaborating the Situation. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 1115–1127. 11 indexed citations
9.
Gu, Yuling, et al.. (2021). Prenatal diagnosis of congenital nephrotic syndrome of the Finnish type in a Chinese family. Taiwanese Journal of Obstetrics and Gynecology. 60(4). 758–762.
10.
11.
Ding, Hao, et al.. (2019). Analysis of Vascular Mechanical Characteristics after Coronary Degradable Stent Implantation. BioMed Research International. 2019. 1–9. 7 indexed citations
12.
Gu, Yuling, et al.. (2016). Perception of Tone in Whispered Mandarin Sentences: The Case for Singapore Mandarin. 282–286. 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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