Emily Jia

933 total citations · 1 hit paper
4 papers, 399 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 4 papers receiving a total of 399 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 CCD and CMOS Imaging Sensors (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 CCD and CMOS Imaging Sensors (1 paper). Emily Jia collaborates with scholars based in United States, Canada and China. Emily Jia's co-authors include Sophie Hilgard, Himabindu Lakkaraju, Dylan Slack, Sameer Singh, Baorui Ma, Yu-Shen Liu, Helge Rhodin, Wenyuan Zhang, Junsheng Zhou and Sidney Fels and has published in prestigious journals such as arXiv (Cornell University) and Proceedings of the AAAI/ACM Conference on AI Ethics and Society.

In The Last Decade

Emily Jia

4 papers receiving 386 citations

Hit Papers

Fooling LIME and SHAP 2020 2026 2022 2024 2020 100 200 300
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. Fooling LIME and SHAP
    2020 386 citations Dylan Slack, Sophie Hilgard et al. Proceedings of the AAAI/ACM Conference on AI Ethics and Society profile →

Peers

Emily Jia
Sophie Hilgard United States
Dylan Slack United States
Alan Perotti Italy
Giulia Vilone Ireland
Milad Moradi Austria
Huiqi Deng China
Adrien Bibal Belgium
Shayak Sen United States
Ludovik Çoba Italy
Jörg Schlötterer Germany
Sophie Hilgard United States
Emily Jia
Citations per year, relative to Emily Jia Emily Jia (= 1×) peers Sophie Hilgard

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

4 of 4 papers shown
1.
Zhang, Wenyuan, et al.. (2025). NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. 11317–11327. 1 indexed citations
2.
Jia, Emily, et al.. (2022). TeleViewDemo: Experience the Future of 3D Teleconferencing. 40. 1–2. 1 indexed citations
3.
Slack, Dylan, Sophie Hilgard, Emily Jia, Sameer Singh, & Himabindu Lakkaraju. (2020). Fooling LIME and SHAP. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 180–186. 386 indexed citations breakdown →
4.
Slack, Dylan, Sophie Hilgard, Emily Jia, Sameer Singh, & Himabindu Lakkaraju. (2019). How can we fool LIME and SHAP? Adversarial Attacks on Post hoc Explanation Methods.. arXiv (Cornell University). 11 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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2026