2026 Kai Li: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	88	654	634	346	335	215	103747

Research.com Recognitions

2012 - Member of the National Academy of Engineering For advances in data storage and distributed computer systems.
1998 - ACM Fellow For fundamental contributions to computer systems and architecture, by introducing and demonstrating the effectiveness of Shared Virtual Memory.

Overview

Kai Li is a researcher affiliated with Princeton University in the United States. Their work spans multiple areas within computer science and neuroscience, with a focus on artificial intelligence and cognitive neuroscience among other specialized fields.

The primary fields of study for Kai Li include:

Computer Science
Neuroscience

Within these main fields, their subfields of study further specify their research interests as:

Artificial Intelligence
Cognitive Neuroscience
Cellular and Molecular Neuroscience
Biophysics
Structural Biology

Kai Li's research addresses several key topics, including:

Neural dynamics and brain function
Neuroscience and Neuropharmacology Research
Privacy-Preserving Technologies in Data
Advanced Electron Microscopy Techniques and Applications
Cell Image Analysis Techniques
Adversarial Robustness in Machine Learning
Neurobiology and Insect Physiology Research

Their recent publications highlight a blend of neuroscience and computer science approaches:

"Functional connectomics spanning multiple areas of mouse visual cortex" (2025), published in Nature
"Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex" (2023), published in bioRxiv (Cold Spring Harbor Laboratory)
"Exploring Deep-Reinforcement-Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT" (2022), published in IEEE Internet of Things Journal
"Sparse multi-output Gaussian processes for online medical time series prediction" (2020), published in BMC Medical Informatics and Decision Making
"Petascale neural circuit reconstruction: automated methods" (2021), published in bioRxiv (Cold Spring Harbor Laboratory)

The venues where Kai Li frequently publishes indicate a presence in high-impact and specialized platforms focused on scientific and technical research:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Nature
Zenodo (CERN European Organization for Nuclear Research)
Nature Communications

Kai Li has collaborated extensively with several coauthors, including:

J. Alexander Bae
Nico Kemnitz
Thomas Macrina
Eric Mitchell
Shang Mu

Kai Li's recognized contributions extend to honors such as:

Member of the National Academy of Engineering (2012) for advances in data storage and distributed computer systems
ACM Fellow (1998) for fundamental contributions to computer systems and architecture, especially involving shared virtual memory

Best Publications

ImageNet: A large-scale hierarchical image database

Jia Deng;Wei Dong;Richard Socher;Li-Jia Li

64394
Citations
The PARSEC benchmark suite: characterization and architectural implications

Christian Bienia;Sanjeev Kumar;Jaswinder Pal Singh;Kai Li

4486
Citations
Search and replication in unstructured peer-to-peer networks

Qin Lv;Pei Cao;Edith Cohen;Kai Li

2781
Citations
Memory coherence in shared virtual memory systems

Kai Li;Paul Hudak

2547
Citations
Search and replication in unstructured peer-to-peer networks

Unknown

1632
Citations
Benchmarking modern multiprocessors

Kai Li;Christian Bienia

1472
Citations
Avoiding the disk bottleneck in the data domain deduplication file system

Benjamin Zhu;Kai Li;Hugo Patterson

1164
Citations
Multi-probe LSH: efficient indexing for high-dimensional similarity search

Qin Lv;William Josephson;Zhe Wang;Moses Charikar

1024
Citations
Libckpt: transparent checkpointing under Unix

James S. Plank;Micah Beck;Gerry Kingsley;Kai Li

929
Citations
Efficient k-nearest neighbor graph construction for generic similarity measures

Wei Dong;Charikar Moses;Kai Li

784
Citations
Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

Michael A. Gillette;Michael A. Gillette;Shankha Satpathy;Song Cao;Saravana M. Dhanasekaran

772
Citations
Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma.

David J. Clark;Saravana M. Dhanasekaran;Francesca Petralia;Jianbo Pan

729
Citations
What does classifying more than 10,000 image categories tell us?

Jia Deng;Alexander C. Berg;Kai Li;Li Fei-Fei

681
Citations
Proteogenomic and metabolomic characterization of human glioblastoma

Liang-Bo Wang;Alla Karpova;Marina A. Gritsenko;Jennifer E. Kyle

651
Citations
Shared virtual memory on loosely coupled multiprocessors

Kai Li

630
Citations
IVY: A Shared Virtual Memory System for Parallel Computing.

Kai Li

628
Citations
The Multi-Queue Replacement Algorithm for Second Level Buffer Caches

Yuanyuan Zhou;James Philbin;Kai Li

525
Citations
Diskless checkpointing

J.S. Plank;Kai Li;M.A. Puening

523
Citations
A study of integrated prefetching and caching strategies

Pei Cao;Edward W. Felten;Anna R. Karlin;Kai Li

497
Citations
Real-time concurrent collection on stock multiprocessors

A. W. Appel;J. R. Ellis;K. Li

443
Citations
Scope Consistency: A Bridge between Release Consistency and Entry Consistency

Liviu Iftode;Jaswinder Pal Singh;Kai Li

423
Citations

Frequent Co-Authors

Edward W. Felten Princeton University

Moses Charikar Stanford University

Qin Lv University of Colorado Boulder

Liviu Iftode Rutgers, The State University of New Jersey

James S. Plank University of Tennessee at Knoxville

Olga G. Troyanskaya Princeton University

Yuanyuan Zhou University of California, San Diego

Wei Dong Zhejiang University

Thomas Funkhouser Google (United States)

Douglas W. Clark Princeton University

External Links

Personal website of Kai Li Google Scholar page

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