Ruth Fong

998 total citations
5 papers, 73 citations indexed

About

Ruth Fong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems and Management. According to data from OpenAlex, Ruth Fong has authored 5 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems and Management. Recurrent topics in Ruth Fong's work include Explainable Artificial Intelligence (XAI) (3 papers), Ethics and Social Impacts of AI (2 papers) and Machine Learning and Data Classification (2 papers). Ruth Fong is often cited by papers focused on Explainable Artificial Intelligence (XAI) (3 papers), Ethics and Social Impacts of AI (2 papers) and Machine Learning and Data Classification (2 papers). Ruth Fong collaborates with scholars based in United States, United Kingdom and Israel. Ruth Fong's co-authors include Olga Russakovsky, Sunnie S. Y. Kim, V. Ramaswamy, Полина Кузнецова, João F. Henriques, Yuki M. Asano, Mandela Patrick, Geoffrey Zweig, Andrea Vedaldi and Elizabeth Anne Watkins and has published in prestigious journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Ruth Fong

5 papers receiving 70 citations

Peers

Countries citing papers authored by Ruth Fong

Since Specialization

Citations

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

Fields of papers citing papers by Ruth Fong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Fong

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

#	Work	Indexed citations
1	Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application 2023 ·arXiv (Cornell University) ·Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky, Ruth Fong, Andrés Monroy‐Hernández	17
2	Improving Data-Efficient Fossil Segmentation via Model Editing 2023 ·(unknown), (unknown), Adam C. Maloof, Ruth Fong	1
3	Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability 2023 ·V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky	14
4	Gender Artifacts in Visual Datasets 2023 ·(unknown), (unknown), Angelina Wang, V. Ramaswamy, Ruth Fong, Olga Russakovsky	10
5	On Compositions of Transformations in Contrastive Self-Supervised Learning 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Mandela Patrick, Yuki M. Asano, Полина Кузнецова, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi	31

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