World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
13601
World Ranking
5514
National Ranking
736

Dan Feng 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 Dan Feng 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: 551 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Dan Feng 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 Dan Feng 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Dan Feng is affiliated with Huazhong University of Science and Technology in China. Their research contributions are primarily in the field of Computer Science, with a specific focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, and Hardware and Architecture.

The scientist's work covers a range of topics within these fields, with notable concentration in advanced technology areas. Key topics of their research include:

  • Advanced Data Storage Technologies
  • Caching and Content Delivery
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Distributed Systems and Fault Tolerance
  • Advanced Graph Neural Networks

Dan Feng has published extensively, with a total of 278 publications in Computer Science. Their work appears frequently in specific venues such as:

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (13 publications)
  • ACM Transactions on Architecture and Code Optimization (12 publications)
  • IEEE Transactions on Parallel and Distributed Systems (8 publications)
  • Journal of Systems Architecture (6 publications)
  • IEEE Transactions on Computers (5 publications)

Selected recent papers by Dan Feng demonstrate a focus on practical and theoretical aspects of cloud computing, storage, and data systems. These include:

  • "Real-Time Prediction of Docker Container Resource Load Based on a Hybrid Model of ARIMA and Triple Exponential Smoothing," 2020, IEEE Transactions on Cloud Computing
  • "The Design of Fast Content-Defined Chunking for Data Deduplication Based Storage Systems," 2020, IEEE Transactions on Parallel and Distributed Systems
  • "A critical review of characteristics of domestic wastewater and key treatment techniques in Chinese villages," 2024, The Science of The Total Environment
  • "Bandwidth-Aware Scheduling Repair Techniques in Erasure-Coded Clusters: Design and Analysis," 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Paradise: Real-Time, Generalized, and Distributed Provenance-Based Intrusion Detection," 2022, IEEE Transactions on Dependable and Secure Computing

Their collaborative network includes frequent co-authors such as:

  • Fang Wang
  • Wei Tong
  • Yuchong Hu
  • Hong Jiang
  • Xueliang Wei

Best Publications

  • AOD-Net: All-in-One Dehazing Network

    Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu

  • Benchmarking Single-Image Dehazing and Beyond

    Boyi Li;Wenqi Ren;Dengpan Fu;Dacheng Tao

  • Performance impact and interplay of SSD parallelism through advanced commands, allocation strategy and data granularity

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage Cluster

    Qingsong Wei;Bharadwaj Veeravalli;Bozhao Gong;Lingfang Zeng

  • A Comprehensive Study of the Past, Present, and Future of Data Deduplication

    Wen Xia;Hong Jiang;Dan Feng;Fred Douglis

  • SiLo: a similarity-locality based near-exact deduplication scheme with low RAM overhead and high throughput

    Wen Xia;Hong Jiang;Dan Feng;Yu Hua

  • Transcriptional landscape of rice roots at the single-cell resolution

    Qing Liu;Zhe Liang;Dan Feng;Sanjie Jiang

  • Exploring and Exploiting the Multilevel Parallelism Inside SSDs for Improved Performance and Endurance

    Yang Hu;Hong Jiang;Dan Feng;Lei Tian

  • Improving Flash-Based Disk Cache with Lazy Adaptive Replacement

    Sai Huang;Qingsong Wei;Dan Feng;Jianxi Chen

  • An All-in-One Network for Dehazing and Beyond

    Boyi Li;Xiulian Peng;Zhangyang Wang;Jizheng Xu

  • PRO: a popularity-based multi-threaded reconstruction optimization for RAID-structured storage systems

    Lei Tian;Dan Feng;Hong Jiang;Ke Zhou

  • Ranking community answers by modeling question-answer relationships via analogical reasoning

    Xin-Jing Wang;Xudong Tu;Dan Feng;Lei Zhang

  • MAD2: A scalable high-throughput exact deduplication approach for network backup services

    Jiansheng Wei;Hong Jiang;Ke Zhou;Dan Feng

  • HPDA: A hybrid parity-based disk array for enhanced performance and reliability

    Bo Mao;Hong Jiang;Dan Feng;Suzhen Wu

  • P-Code: a new RAID-6 code with optimal properties

    Chao Jin;Hong Jiang;Dan Feng;Lei Tian

  • Design tradeoffs for data deduplication performance in backup workloads

    Min Fu;Dan Feng;Yu Hua;Xubin He

  • DEBAR: A scalable high-performance de-duplication storage system for backup and archiving

    Tianming Yang;Hong Jiang;Dan Feng;Zhongying Niu

  • WorkOut: I/O workload outsourcing for boosting RAID reconstruction performance

    Suzhen Wu;Hong Jiang;Dan Feng;Lei Tian

  • Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information

    Min Fu;Dan Feng;Yu Hua;Xubin He

  • SAM: A Semantic-Aware Multi-tiered Source De-duplication Framework for Cloud Backup

    Yujuan Tan;Hong Jiang;Dan Feng;Lei Tian

  • Improving flash-based disk cache with Lazy Adaptive Replacement

    Sai Huang;Qingsong Wei;Jianxi Chen;Cheng Chen

Frequent Co-Authors

Hong Jiang
Hong Jiang The University of Texas at Arlington
Xue Liu
Xue Liu McGill University
Zhangyang Wang
Zhangyang Wang The University of Texas at Austin
Bharadwaj Veeravalli
Bharadwaj Veeravalli National University of Singapore
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Patrick P. C. Lee
Patrick P. C. Lee Chinese University of Hong Kong
Xiao Qin
Xiao Qin Auburn University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Bin Xiao
Bin Xiao Hong Kong Polytechnic University
Yang Zhang
Yang Zhang University of Michigan–Ann Arbor

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a degree in Computer Science opens doors to various related fields—many of which offer flexible online options and promising career pathways. For example, exploring the mechanical engineering degree online cost can help you compare affordability as you weigh your options.

If you're curious about expanding your scientific background, you might be wondering, can you get a physics degree online? Many institutions now offer online physics programs designed for both beginners and working professionals.

Data science is another in-demand field that aligns well with computer science skills. By looking into earning a data science degree, you can prepare for roles in analytics, artificial intelligence, and more.

For those interested in hardware, automation, or electronics, exploring top online electrical engineering schools can provide options to build technical expertise alongside computer science studies.

Ultimately, choosing a related online degree can enhance your career prospects in technology, broaden your knowledge, and offer the flexibility needed to balance education with other commitments.

Best Scientists Citing Dan Feng

Trending Scientists

Recently Published Articles