World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12572
World Ranking
4074
National Ranking
540

Feifei Li publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Feifei Li sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 176 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Feifei Li D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Feifei Li sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2018 - ACM Senior Member
  • 2018 - ACM Distinguished Member

Overview

Feifei Li is affiliated with Alibaba Group in China and has a substantial body of research primarily in the field of Computer Science, with a focus on cloud computing, data management, and related subfields. Their work spans several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Signal Processing, and Computer Vision and Pattern Recognition.

The main topics of their research include:

  • Cloud Computing and Resource Management
  • Data Management and Algorithms
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • Cryptography and Data Security
  • Advanced Database Systems and Queries
  • Data Stream Mining Techniques

Feifei Li has published numerous papers, with selected recent works including:

  • "Diagnosing root causes of intermittent slow queries in cloud databases," 2020, Proceedings of the VLDB Endowment
  • "LedgerDB," 2020, Proceedings of the VLDB Endowment
  • "AnalyticDB-V," 2020, Proceedings of the VLDB Endowment
  • "Towards Dynamic and Safe Configuration Tuning for Cloud Databases," 2022, Proceedings of the 2022 International Conference on Management of Data
  • "A multi-agent based cooperative approach to decentralized multi-project scheduling and resource allocation," 2020, Computers & Industrial Engineering

The common venues for publishing include:

  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • arXiv (Cornell University)
  • Proceedings of the 2022 International Conference on Management of Data
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Frequent coauthors associated with Feifei Li's research include:

  • Wenchao Zhou
  • Sheng Wang
  • Bin Wu
  • Jian Tan
  • Xinjun Yang

Feifei Li has also been recognized by professional organizations, having received the ACM Distinguished Member and ACM Senior Member awards in 2018.

Best Publications

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

    Min Du;Feifei Li;Guineng Zheng;Vivek Srikumar

  • Approximate aggregation techniques for sensor databases

    J. Considine;F. Li;G. Kollios;J. Byers

  • Dynamic authenticated index structures for outsourced databases

    Feifei Li;Marios Hadjieleftheriou;George Kollios;Leonid Reyzin

  • On trip planning queries in spatial databases

    Feifei Li;Dihan Cheng;Marios Hadjieleftheriou;George Kollios

  • Spell: Streaming Parsing of System Event Logs

    Min Du;Feifei Li

  • Efficient parallel kNN joins for large data in MapReduce

    Chi Zhang;Feifei Li;Jeffrey Jestes

  • Simba: Efficient In-Memory Spatial Analytics

    Dong Xie;Feifei Li;Bin Yao;Gefei Li

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

    Seth H. Pugsley;Jeffrey Jestes;Huihui Zhang;Rajeev Balasubramonian

  • Secure nearest neighbor revisited

    Bin Yao;Feifei Li;Xiaokui Xiao

  • Finding frequent items in probabilistic data

    Qin Zhang;Feifei Li;Ke Yi

  • Semantics of Ranking Queries for Probabilistic Data and Expected Ranks

    Graham Cormode;Feifei Li;Ke Yi

  • Spatio-temporal aggregation using sketches

    Yufei Tao;G. Kollios;J. Considine;F. Li

  • Wander Join: Online Aggregation via Random Walks

    Feifei Li;Bin Wu;Ke Yi;Zhuoyue Zhao

  • Efficient Processing of Top-k Queries in Uncertain Databases with x-Relations

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Scalable Multi-query Optimization for SPARQL

    Wangchao Le;Anastasios Kementsietsidis;Songyun Duan;Feifei Li

  • OpenTag: Open Attribute Value Extraction from Product Profiles

    Guineng Zheng;Subhabrata Mukherjee;Xin Luna Dong;Feifei Li

  • Scalable Keyword Search on Large RDF Data

    Wangchao Le;Feifei Li;Anastasios Kementsietsidis;Songyun Duan

  • Time series compressibility and privacy

    Spiros Papadimitriou;Feifei Li;George Kollios;Philip S. Yu

  • Distributed trajectory similarity search

    Dong Xie;Feifei Li;Jeff M. Phillips

  • Efficient Processing of Top-k Queries in Uncertain Databases

    Ke Yi;Feifei Li;G. Kollios;D. Srivastava

  • Proceedings of the 26th International Conference on Data Engineering, ICDE 2010

    Feifei Li;Mirella M. Moro;Shahram Ghandeharizadeh;Jayant R. Haritsa

  • Authenticated Index Structures for Outsourced Databases

    Feifei Li;Marios Hadjileftheriou;George Kollios;Leonid Reyzin

Frequent Co-Authors

Ke Yi
Ke Yi Hong Kong University of Science and Technology
George Kollios
George Kollios Boston University
Marios Hadjieleftheriou
Marios Hadjieleftheriou AT&T (United States)
Wee Keong Ng
Wee Keong Ng Nanyang Technological University
Bo Lu
Bo Lu The Ohio State University
Rajeev Balasubramonian
Rajeev Balasubramonian University of Utah
Yufei Tao
Yufei Tao Chinese University of Hong Kong
Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Leonid Reyzin
Leonid Reyzin Boston University
Philip S. Yu
Philip S. Yu University of Illinois at Chicago

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