Emily Jia

11 total papers · 904 total citations
3 papers, 386 citations indexed

About

Emily Jia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Health Informatics. According to data from OpenAlex, Emily Jia has authored 3 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Health Informatics. Recurrent topics in Emily Jia's work include Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Advanced Vision and Imaging (1 paper). Emily Jia is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Advanced Vision and Imaging (1 paper). Emily Jia collaborates with scholars based in United States and Canada. Emily Jia's co-authors include Sameer Singh, Himabindu Lakkaraju, Dylan Slack, Sophie Hilgard, Helge Rhodin and Sidney Fels and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Emily Jia

3 papers receiving 373 citations

Hit Papers

Fooling LIME and SHAP 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emily Jia 272 44 39 20 20 3 386
Sophie Hilgard 295 1.1× 49 1.1× 45 1.2× 20 1.0× 20 1.0× 4 419
Waddah Saeed 248 0.9× 63 1.4× 20 0.5× 16 0.8× 14 0.7× 5 414
José Bobes-Bascarán 150 0.6× 57 1.3× 31 0.8× 11 0.6× 12 0.6× 7 353
Alessa Angerschmid 179 0.7× 62 1.4× 57 1.5× 17 0.8× 21 1.1× 11 393
Ángel Fernández-Leal 152 0.6× 53 1.2× 29 0.7× 11 0.6× 11 0.6× 9 382
Konrad Wojtasik 244 0.9× 114 2.6× 26 0.7× 15 0.8× 13 0.7× 3 428
Willy Chung 254 0.9× 79 1.8× 15 0.4× 10 0.5× 14 0.7× 5 384
Nayeon Lee 270 1.0× 79 1.8× 15 0.4× 8 0.4× 14 0.7× 6 403
Laria Reynolds 245 0.9× 34 0.8× 15 0.4× 15 0.8× 6 0.3× 3 370
Kyle McDonell 245 0.9× 34 0.8× 15 0.4× 15 0.8× 6 0.3× 2 367

Countries citing papers authored by Emily Jia

Since Specialization
Citations

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

Fields of papers citing papers by Emily Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Jia

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

All Works

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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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