H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 41 Citations 8,002 133 World Ranking 4327 National Ranking 398

Research.com Recognitions

Awards & Achievements

2018 - ACM Distinguished Member

2018 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Database
  • Artificial intelligence

Data mining, Database, Tuple, Scalability and Theoretical computer science are his primary areas of study. He combines subjects such as SPARQL and Artificial intelligence with his study of Data mining. In the field of Artificial intelligence, his study on Deep learning overlaps with subjects such as Root cause analysis.

His Database research incorporates themes from Time complexity, Algorithm, Algorithm design, Cryptographic primitive and Spatial query. Feifei Li has included themes like Task, Data processing and Data set in his Scalability study. His Theoretical computer science research is multidisciplinary, incorporating elements of Plaintext, Encryption, Cloud computing, Computer security model and Partition.

His most cited work include:

  • Approximate aggregation techniques for sensor databases (533 citations)
  • Dynamic authenticated index structures for outsourced databases (351 citations)
  • DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning (338 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Data mining, Database, Scalability, Cloud computing and Information retrieval. His research on Data mining focuses in particular on Query optimization. His work carried out in the field of Query optimization brings together such families of science as Web query classification and Sargable.

His Database study combines topics in areas such as Overhead and Server. The Scalability study combines topics in areas such as Data management and Big data. His studies examine the connections between Ranking and genetics, as well as such issues in Ranking, with regards to Probabilistic logic.

He most often published in these fields:

  • Data mining (27.81%)
  • Database (18.72%)
  • Scalability (11.23%)

What were the highlights of his more recent work (between 2018-2021)?

  • Database (18.72%)
  • Cloud computing (10.16%)
  • Data mining (27.81%)

In recent papers he was focusing on the following fields of study:

Feifei Li mainly focuses on Database, Cloud computing, Data mining, Artificial intelligence and Overhead. His Database study combines topics from a wide range of disciplines, such as Blockchain, Associative array and Hotspot. The study incorporates disciplines such as Scalability, SQL and Online analytical processing in addition to Cloud computing.

His Analytics study in the realm of Data mining connects with subjects such as Popularity. In his study, Attenuation and Coding is inextricably linked to Pattern recognition, which falls within the broad field of Artificial intelligence. His research integrates issues of Data modeling, Data compression and Compression in his study of Overhead.

Between 2018 and 2021, his most popular works were:

  • X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing (19 citations)
  • Narrowing the Gap Between Serverless and its State with Storage Functions (14 citations)
  • Spell: Online Streaming Parsing of Large Unstructured System Logs (13 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Database
  • Artificial intelligence

His primary scientific interests are in Database, Cloud computing, Database transaction, Transaction processing and Online transaction processing. Feifei Li interconnects Distributed ledger and Blockchain in the investigation of issues within Database. His Cloud computing research incorporates elements of Scalability, Distributed computing, Online analytical processing and Asynchronous communication.

As part of his studies on Scalability, Feifei Li frequently links adjacent subjects like Autoscaling. Feifei Li combines subjects such as Recommender system, Ranking, Information retrieval and Pairwise comparison with his study of Database transaction. His biological study spans a wide range of topics, including Big data, E-commerce, Transactions per second and Cache.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Approximate aggregation techniques for sensor databases

J. Considine;F. Li;G. Kollios;J. Byers.
international conference on data engineering (2004)

787 Citations

Dynamic authenticated index structures for outsourced databases

Feifei Li;Marios Hadjieleftheriou;George Kollios;Leonid Reyzin.
international conference on management of data (2006)

513 Citations

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Min Du;Feifei Li;Guineng Zheng;Vivek Srikumar.
computer and communications security (2017)

466 Citations

On trip planning queries in spatial databases

Feifei Li;Dihan Cheng;Marios Hadjieleftheriou;George Kollios.
symposium on large spatial databases (2005)

390 Citations

Efficient parallel kNN joins for large data in MapReduce

Chi Zhang;Feifei Li;Jeffrey Jestes.
extending database technology (2012)

295 Citations

Finding frequent items in probabilistic data

Qin Zhang;Feifei Li;Ke Yi.
international conference on management of data (2008)

266 Citations

NDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads

Seth H. Pugsley;Jeffrey Jestes;Huihui Zhang;Rajeev Balasubramonian.
international symposium on performance analysis of systems and software (2014)

242 Citations

Secure nearest neighbor revisited

Bin Yao;Feifei Li;Xiaokui Xiao.
international conference on data engineering (2013)

236 Citations

Semantics of Ranking Queries for Probabilistic Data and Expected Ranks

Graham Cormode;Feifei Li;Ke Yi.
international conference on data engineering (2009)

234 Citations

Simba: Efficient In-Memory Spatial Analytics

Dong Xie;Feifei Li;Bin Yao;Gefei Li.
international conference on management of data (2016)

226 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Feifei Li

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