Jerry Li

7.5k total citations · 2 hit papers
104 papers, 2.9k citations indexed

About

Jerry Li is a scholar working on Artificial Intelligence, Immunology and Molecular Biology. According to data from OpenAlex, Jerry Li has authored 104 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 27 papers in Immunology and 26 papers in Molecular Biology. Recurrent topics in Jerry Li's work include Monoclonal and Polyclonal Antibodies Research (18 papers), Immunotherapy and Immune Responses (13 papers) and Machine Learning and Algorithms (10 papers). Jerry Li is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (18 papers), Immunotherapy and Immune Responses (13 papers) and Machine Learning and Algorithms (10 papers). Jerry Li collaborates with scholars based in United States, Canada and United Kingdom. Jerry Li's co-authors include Rongshi Li, Henry G. Kunkel, Philip E. Bourne, Li Xie, Lei Xie, Sitan Chen, Dan Alistarh, Nir Levine, Cosmin Păduraru and Daniel J. Mankowitz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jerry Li

101 papers receiving 2.8k citations

Hit Papers

Challenges of real-world reinforcement learning: definiti... 2021 2026 2022 2024 2021 2022 100 200 300

Peers

Jerry Li
Comparison fields: 5 of 173
  • Molecular Biology 878
  • Artificial Intelligence 781
  • Immunology 356
  • Oncology 305
  • Computational Theory and Mathematics 288
Replace Ping Luo with:
Ping Luo China
George Lee United States
Péter Horváth Hungary
Shuang Wang China
Runhua Shi United States
Per Brinch Hansen Denmark
Paul A. Tucker Germany
David Salomon United States
Ping Luo China View profile →
Citations per field, relative to Jerry Li
Jerry Li · 1×
Citations per year, relative to Jerry Li
Jerry Li · 1×

Countries citing papers authored by Jerry Li

Since Specialization
Citations

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

Fields of papers citing papers by Jerry Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry Li

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 37
3
Quantum advantage in learning from experiments breakdown →
298
4 7
5
RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.
2
6
Sever: A Robust Meta-Algorithm for Stochastic Optimization
17
7 21
8
Spectral Signatures in Backdoor Attacks
53
9
Byzantine Stochastic Gradient Descent
38
10
Communication-Efficient Distributed Learning of Discrete Distributions
7
11
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
52
12
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities
4
13
Towards Understanding the Dynamics of Generative Adversarial Networks.
8
14 62
15
Fast algorithms for segmented regression
4
16
QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks
1
17
QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent
35
18
Zinc, carotene, and retinol in melanoma and non-melanoma skin cancer.
4
19 2
20 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

Rankless by CCL
2026