Valerie Chen

1.3k total citations · 3 hit papers
22 papers, 719 citations indexed

About

Valerie Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Valerie Chen has authored 22 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Valerie Chen's work include Explainable Artificial Intelligence (XAI) (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and Data Classification (4 papers). Valerie Chen is often cited by papers focused on Explainable Artificial Intelligence (XAI) (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Machine Learning and Data Classification (4 papers). Valerie Chen collaborates with scholars based in United States, United Kingdom and Netherlands. Valerie Chen's co-authors include Ameet Talwalkar, Joon Sik Kim, Gregory Plumb, Jeffrey Li, Jennifer Wortman Vaughan, Q. Vera Liao, Gagan Bansal, Jochen Hack, Graham Neubig and Tongshuang Wu and has published in prestigious journals such as The EMBO Journal, Nature Methods and Communications of the ACM.

In The Last Decade

Valerie Chen

18 papers receiving 680 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.

Interpretable Machine Learning

2021 367 citations Valerie Chen, Jeffrey Li et al. Queue profile →
Interpretable machine learning

2022 138 citations Valerie Chen, Jeffrey Li et al. profile →
Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design

2024 29 citations Valerie Chen, Tongshuang Wu et al. Transactions of the Association for Computational Linguistics profile →

Peers

Countries citing papers authored by Valerie Chen

Since Specialization

Citations

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

Fields of papers citing papers by Valerie Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valerie Chen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Developer Interaction Patterns with Proactive AI: A Five-Day Field Study 2026 ·ArXiv.org ·(unknown), (unknown), Valerie Chen, (unknown)	0
2	Mechanisms of maternal antibody interference with rotavirus vaccination 2025 ·The EMBO Journal ·T.L. Chandler, (unknown), Valerie Chen, (unknown), (unknown), Katherine Harcourt, Simon Clare, (unknown), Sarah Caddy	0
3	Short-term social isolation acts on hypothalamic neurons to promote social behavior in a sex- and context-dependent manner 2025 ·eLife ·Xin Zhao, (unknown), (unknown), Valerie Chen, (unknown), Joshua W Sokol, (unknown), Katherine Tschida	0
4	Need Help? Designing Proactive AI Assistants for Programming 2025 ·Valerie Chen, (unknown), (unknown), (unknown), David Sontag, Ameet Talwalkar	2
5	Learning Personalized Decision Support Policies 2025 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, (unknown), Adrian Weller, Ameet Talwalkar	1
6	On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Kasun Amarasinghe, Kit T. Rodolfa, S. M. Jesus, Valerie Chen, (unknown), Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani	3
7	Applying interpretable machine learning in computational biology—pitfalls, recommendations and opportunities for new developments 2024 ·Nature Methods ·Valerie Chen, (unknown), (unknown), (unknown), Ameet Talwalkar, Jian Ma	30
8	Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design breakdown → 2024 ·Transactions of the Association for Computational Linguistics ·(unknown), Valerie Chen, Tongshuang Wu, (unknown), Graham Neubig	29
9	FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines 2023 ·Matthew L Barker, (unknown), (unknown), Katherine M. Collins, (unknown), Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt	4
10	Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations 2023 ·Proceedings of the ACM on Human-Computer Interaction ·Valerie Chen, Q. Vera Liao, Jennifer Wortman Vaughan, Gagan Bansal	60
11	Perspectives on incorporating expert feedback into model updates 2023 ·Patterns ·Valerie Chen, Umang Bhatt, (unknown), Adrian Weller, Ameet Talwalkar	4
12	Use-Case-Grounded Simulations for Explanation Evaluation 2022 ·Valerie Chen, (unknown), Gregory Plumb, (unknown), (unknown)	1
13	Development and modelling of realistic retrofitted Nature-based Solution scenarios to reduce flood occurrence at the catchment scale 2021 ·AMBIO ·Valerie Chen, (unknown), (unknown), Jochen Hack	34
14	Interpretable Machine Learning breakdown → 2021 ·Queue ·Valerie Chen, Jeffrey Li, Joon Sik Kim, Gregory Plumb, Ameet Talwalkar	367
15	Delivering bad news fairly: Higher construal level promotes interactional justice enactment through perspective taking 2020 ·Journal of Organizational Behavior ·(unknown), D. Ramona Bobocel, Valerie Chen	15
16	Task-Aware Novelty Detection for Visual-based Deep Learning in Autonomous Systems 2020 ·Valerie Chen, Man-Ki Yoon, Zhong Shao	5
17	Charge Characteristics of Agouti-Related Protein Implicate Potent Involvement of Heparan Sulfate Proteoglycans in Metabolic Function 2019 ·iScience ·(unknown), Valerie Chen, Tomoya Kawamura, (unknown), Yang Yang, (unknown), Ryan McBride, Vez Repunte‐Canonigo, Glenn L. Millhauser, Pietro Paolo Sanna	2
18	Novelty Detection via Network Saliency in Visual-Based Deep Learning 2019 ·Valerie Chen, Man-Ki Yoon, Zhong Shao	3
19	Characterizing a New Mechanism in GPCR Signaling and Energy Balance 2018 ·Biophysical Journal ·Valerie Chen, (unknown)	1
20	Human β-D-3 Exacerbates MDA5 but Suppresses TLR3 Responses to the Viral Molecular Pattern Mimic Polyinosinic:Polycytidylic Acid 2015 ·PLoS Genetics ·Fiona Semple, Heather MacPherson, Sheila Webb, Fiona Kilanowski, Laura A. Lettice, Sarah McGlasson, Ann P. Wheeler, Valerie Chen, Glenn L. Millhauser, Lauren Melrose, Donald J. Davidson, Julia R. Dorin	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.

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