Jeffrey Li

821 total citations · 2 hit papers
5 papers, 524 citations indexed

About

Jeffrey Li is a scholar working on Artificial Intelligence, Political Science and International Relations and Health Information Management. According to data from OpenAlex, Jeffrey Li has authored 5 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Political Science and International Relations and 1 paper in Health Information Management. Recurrent topics in Jeffrey Li's work include Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning and Data Classification (2 papers). Jeffrey Li is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning and Data Classification (2 papers). Jeffrey Li collaborates with scholars based in United States and Canada. Jeffrey Li's co-authors include Ameet Talwalkar, Valerie Chen, Joon Sik Kim, Gregory Plumb, Eric M. Đufresne, Alec Sandy, Qingteng Zhang, Suresh Narayanan, Nicholas Schwarz and Zhang Jiang and has published in prestigious journals such as Communications of the ACM, Journal of the American Medical Informatics Association and Journal of Synchrotron Radiation.

In The Last Decade

Jeffrey Li

5 papers receiving 493 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. Communications of the ACM profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey Li United States	4	234	37	34	30	26	5	524
Gregory Plumb United States	4	237 1.0×	37 1.0×	34 1.0×	31 1.0×	27 1.0×	6	515
Banyatsang Mphago Botswana	4	182 0.8×	41 1.1×	42 1.2×	33 1.1×	29 1.1×	5	524
Oteng Tabona Botswana	3	179 0.8×	41 1.1×	42 1.2×	37 1.2×	23 0.9×	6	523
Valerie Chen United States	8	295 1.3×	43 1.2×	57 1.7×	35 1.2×	26 1.0×	22	719
Janek Thomas Germany	7	205 0.9×	33 0.9×	39 1.1×	38 1.3×	27 1.0×	15	606
Stefan Coors Germany	6	200 0.9×	29 0.8×	58 1.7×	24 0.8×	29 1.1×	7	739
Martin Binder Germany	5	190 0.8×	27 0.7×	60 1.8×	24 0.8×	28 1.1×	10	693
Ye Jiang China	16	210 0.9×	42 1.1×	25 0.7×	27 0.9×	14 0.5×	91	666
Weizhou Zhong China	7	163 0.7×	27 0.7×	20 0.6×	23 0.8×	28 1.1×	30	416
Shaoze Cui China	11	154 0.7×	32 0.9×	30 0.9×	15 0.5×	12 0.5×	15	469

Countries citing papers authored by Jeffrey Li

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Li. A scholar is included among the top collaborators of Jeffrey Li 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 Jeffrey Li. Jeffrey Li 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

1.

Mullie, Louis, Jonathan Afilalo, Patrick Archambault, et al.. (2023). CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data. Journal of the American Medical Informatics Association. 31(3). 651–665. 8 indexed citations

2.

Li, Jeffrey, Qingteng Zhang, Zhang Jiang, et al.. (2022). pyXPCSviewer: an open-source interactive tool for X-ray photon correlation spectroscopy visualization and analysis. Journal of Synchrotron Radiation. 29(4). 1122–1129. 9 indexed citations

3.

Chen, Valerie, Jeffrey Li, Joon Sik Kim, Gregory Plumb, & Ameet Talwalkar. (2022). Interpretable machine learning. Communications of the ACM. 65(8). 43–50. 138 indexed citations breakdown →

4.

Chen, Valerie, Jeffrey Li, Joon Sik Kim, Gregory Plumb, & Ameet Talwalkar. (2021). Interpretable Machine Learning. Queue. 19(6). 28–56. 367 indexed citations breakdown →

5.

Li, Jeffrey. (2014). Internet Control or Internet Censorship? Comparing the Control Models of China, Singapore, and the United States to Guide Taiwan’s Choice. 14(1). 1–43. 2 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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