World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4297
World Ranking
13183
National Ranking
5289

Shaolei Ren 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 Shaolei Ren 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Shaolei Ren 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 Shaolei Ren 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Shaolei Ren is affiliated with the University of California, Riverside in the United States and conducts research primarily in computer science. Their scholarly work spans multiple subfields including artificial intelligence, computer networks and communications, electrical and electronic engineering, management science and operations research, and computer vision and pattern recognition.

Their research topics cover a range of advanced computing challenges such as advanced bandit algorithms, advanced memory and neural computing, adversarial robustness in machine learning, optimization and search problems, data stream mining techniques, ferroelectric and negative capacitance devices, and advanced neural network applications.

Ren has published extensively, with selected recent papers including:

  • Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models (2023, arXiv (Cornell University))
  • LeHDC (2022, Proceedings of the 59th ACM/IEEE Design Automation Conference)
  • Auction Mechanism for Dynamic Bandwidth Allocation in Multi-Tenant Edge Computing (2020, IEEE Transactions on Vehicular Technology)
  • Making AI Less 'Thirsty' (2025, Communications of the ACM)
  • One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search (2021, Proceedings of the ACM on Measurement and Analysis of Computing Systems)

The venues where Ren frequently publishes include arXiv (Cornell University), ACM SIGMETRICS Performance Evaluation Review, Proceedings of the ACM on Measurement and Analysis of Computing Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and the Proceedings of the 59th ACM/IEEE Design Automation Conference.

Ren collaborates often with a group of coauthors, including Jianyi Yang, Adam Wierman, Pengfei Li, and Shijin Duan, with multiple joint publications across their careers.

Best Publications

  • Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing

    Jie Xu;Lixing Chen;Shaolei Ren

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach

    Chuan Pham;Nguyen H. Tran;Shaolei Ren;Walid Saad

  • Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid

    Byung-Gook Kim;Shaolei Ren;M. van der Schaar;Jang-Won Lee

  • Operation Analysis of Fast Charging Stations With Energy Demand Control of Electric Vehicles

    Pingyi Fan;Bilguun Sainbayar;Shaolei Ren

  • Provably-Efficient Job Scheduling for Energy and Fairness in Geographically Distributed Data Centers

    Shaolei Ren;Yuxiong He;Fei Xu

  • How Geo-Distributed Data Centers Do Demand Response: A Game-Theoretic Approach

    Nguyen H. Tran;Dai H. Tran;Shaolei Ren;Zhu Han

  • Thermal-Aware Scheduling of Batch Jobs in Geographically Distributed Data Centers

    Marco Polverini;Antonio Cianfrani;Shaolei Ren;Athanasios V. Vasilakos

  • Greening Multi-Tenant Data Center Demand Response

    Niangjun Chen;Xiaoqi Ren;Shaolei Ren;Adam Wierman

  • A truthful incentive mechanism for emergency demand response in colocation data centers

    Linquan Zhang;Shaolei Ren;Chuan Wu;Zongpeng Li

  • Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing

    Jie Xu;Shaolei Ren

  • Spatio–Temporal Edge Service Placement: A Bandit Learning Approach

    Lixing Chen;Jie Xu;Shaolei Ren;Pan Zhou

  • Colocation Demand Response: Why Do I Turn Off My Servers?

    Shaolei Ren;Mohammad A. Islam

  • Pricing and Distributed Power Control in Wireless Relay Networks

    Shaolei Ren;M van der Schaar

  • Energy-Efficient Flow Scheduling and Routing with Hard Deadlines in Data Center Networks

    Lin Wang;Fa Zhang;Kai Zheng;Athanasios V. Vasilakos

  • Paying to save: Reducing cost of colocation data center via rewards

    Mohammad A. Islam;Hasan Mahmud;Shaolei Ren;Xiaorui Wang

  • Distributed power allocation in multi-user multi-channel cellular relay networks

    Shaolei Ren;Mihaela Van Der Schaar

  • Profit Aware Load Balancing for Distributed Cloud Data Centers

    Shuo Liu;Shaolei Ren;Gang Quan;Ming Zhao

  • Exploiting Processor Heterogeneity in Interactive Services

    Shaolei Ren;Yuxiong He;Sameh Elnikety;Kathryn S. McKinley

  • Dynamic Scheduling and Pricing in Wireless Cloud Computing

    Shaolei Ren;Mihaela van der Schaar

Frequent Co-Authors

Mihaela van der Schaar
Mihaela van der Schaar University of Cambridge
Nguyen H. Tran
Nguyen H. Tran University of Sydney
Gang Quan
Gang Quan Florida International University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Yuxiong He
Yuxiong He Microsoft (United States)
Zhu Han
Zhu Han University of Houston
Chuan Wu
Chuan Wu University of Hong Kong
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Adam Wierman
Adam Wierman California Institute of Technology
Zongpeng Li
Zongpeng Li Tsinghua University

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

Exploring related disciplines can open up diverse opportunities while studying Computer Science in the USA. Many students complement their studies with an online bachelor's degree in physics, which strengthens problem-solving and analytical skills valuable for tech roles.

Data science is another popular and lucrative pathway. If cost is a concern, you might ask, what is the cheapest data science course in the us?. Affordable online programs are widely available and can lead to roles in AI, machine learning, and analytics.

For those with a technical background, an online master’s in electrical engineering degree can offer expanded career options in hardware, robotics, and embedded systems, all closely related to computer science.

Additionally, consider earning easy certifications to get if you seek a faster, more affordable route into high-paying tech jobs. These certifications can boost resumes and rapidly improve employability in competitive fields.

Best Scientists Citing Shaolei Ren

Trending Scientists

Recently Published Articles