World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
9212
World Ranking
3511
National Ranking
1300

Computer Science

D-Index
53
Citations
11497
World Ranking
4816
National Ranking
2242

Shaojie Tang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Shaojie Tang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 255 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Shaojie Tang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Shaojie Tang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 45 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Shaojie Tang is affiliated with The University of Texas at Dallas in the United States. Their primary research contributions fall under the broad discipline of Computer Science, with a strong focus on multiple subfields that include Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Management Science and Operations Research, and Computer Vision and Pattern Recognition.

Their body of work covers a variety of main topics, highlighting areas such as Complexity and Algorithms in Graphs, Privacy-Preserving Technologies in Data, Optimization and Search Problems, Cryptography and Data Security, Auction Theory and Applications, Consumer Market Behavior and Pricing, and Advanced Bandit Algorithms Research.

Shaojie Tang has published extensively, contributing papers to a range of venues known in the academic community. Frequent publication venues for their work include arXiv (Cornell University), INFORMS Journal on Computing, SSRN Electronic Journal, Theoretical Computer Science, and IEEE Transactions on Mobile Computing.

Their recent papers reflect ongoing research interests and include:

  • A survey on incorporating domain knowledge into deep learning for medical image analysis (2021) published in Medical Image Analysis
  • Blockchain-Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial (2021) published in Production and Operations Management
  • Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing (2020) published in IEEE Transactions on Mobile Computing
  • Toward Understanding the Influence of Individual Clients in Federated Learning (2021) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • An Efficient K-Persistent Spread Estimator for Traffic Measurement in High-Speed Networks (2020) published in IEEE/ACM Transactions on Networking

Collaboration features prominently in their research activity, with frequent co-authors including Jing Yuan, Guihai Chen, Jianwei Niu, Fan Wu, and Chaoyue Niu. The frequency of co-authorships indicates sustained research partnerships within specialized areas.

Best Publications

  • A framework for partitioning and execution of data stream applications in mobile cloud computing

    Lei Yang;Jiannong Cao;Yin Yuan;Tao Li

  • Electronic frog eye: Counting crowd using WiFi

    Wei Xi;Jizhong Zhao;Xiang Yang Li;Kun Zhao

  • Canopy closure estimates with GreenOrbs: sustainable sensing in the forest

    Lufeng Mo;Yuan He;Yunhao Liu;Jizhong Zhao

  • Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals

    Xuefeng Liu;Jiannong Cao;Shaojie Tang;Jiaqi Wen

  • A Delay-Efficient Algorithm for Data Aggregation in Multihop Wireless Sensor Networks

    Xiaohua Xu;Xiang-Yang Li;Xufei Mao;Shaojie Tang

  • Energy-Efficient Opportunistic Routing in Wireless Sensor Networks

    Xufei Mao;Shaojie Tang;Xiahua Xu;Xiang-Yang Li

  • A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis

    Xiaozheng Xie;Jianwei Niu;Xuefeng Liu;Zhengsu Chen

  • Contactless Respiration Monitoring Via Off-the-Shelf WiFi Devices

    Xuefeng Liu;Jiannong Cao;Shaojie Tang;Jiaqi Wen

  • Adaptive Influence Maximization in Dynamic Social Networks

    Guangmo Tong;Weili Wu;Shaojie Tang;Ding-Zhu Du

  • Data gathering in wireless sensor networks through intelligent compressive sensing

    Jin Wang;Shaojie Tang;Baocai Yin;Xiang-Yang Li

  • Blockchain-Enabled Data Sharing in Supply Chains: Model, Operationalization, and Tutorial

    Zhiyuan Wang;Zhiqiang (Eric) Zheng;Wei Jiang;Shaojie Tang

  • TODA: Truthful Online Double Auction for Spectrum Allocation in Wireless Networks

    ShiGuang Wang;Ping Xu;XiaoHua Xu;ShaoJie Tang

  • On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing

    Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao

  • Multicast capacity for large scale wireless ad hoc networks

    Xiang-Yang Li;Shao-Jie Tang;Ophir Frieder

  • Let's Stay Together: Towards Traffic Aware Virtual Machine Placement in Data Centers

    Xin Li;Jie Wu;Shaojie Tang;Sanglu Lu

  • Privacy-preserving data aggregation without secure channel: Multivariate polynomial evaluation

    Taeho Jung;XuFei Mao;Xiang-Yang Li;Shao-Jie Tang

  • Quality-Aware Sensing Coverage in Budget-Constrained Mobile Crowdsensing Networks

    Maotian Zhang;Panlong Yang;Chang Tian;Shaojie Tang

  • A Budget Feasible Incentive Mechanism for Weighted Coverage Maximization in Mobile Crowdsensing

    Zhenzhe Zheng;Fan Wu;Xiaofeng Gao;Hongzi Zhu

  • Towards Optimal Bidding Strategy for Amazon EC2 Cloud Spot Instance

    ShaoJie Tang;Jing Yuan;Xiang-Yang Li

  • Capacity of Data Collection in Arbitrary Wireless Sensor Networks

    Siyuan Chen;Minsu Huang;Shaojie Tang;Yu Wang

  • On “Movement-Assisted Connectivity Restoration in Wireless Sensor and Actor Networks”

    ShiGuang Wang;XuFei Mao;Shao-Jie Tang;XiangYang Li

  • Proceedings - IEEE INFOCOM

    Xin Li;Jie Wu;Shaojie Tang;Sanglu Lu

Frequent Co-Authors

Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Fan Wu
Fan Wu Shanghai Jiao Tong University
Guihai Chen
Guihai Chen Nanjing University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Yunhao Liu
Yunhao Liu Tsinghua University
Xiaofeng Gao
Xiaofeng Gao Shanghai Jiao Tong University
Jizhong Zhao
Jizhong Zhao Xi'an Jiaotong University
Huadong Ma
Huadong Ma Beijing University of Posts and Telecommunications
Yu Wang
Yu Wang Temple University
Haipeng Dai
Haipeng Dai Nanjing University

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Related Online Degrees & Career Pathways

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For professionals seeking fast-tracked career development, 6-month certificate programs that pay well can be an excellent option. These short-term programs focus on practical skills in electronics and electrical engineering fields, enabling quicker entry or advancement in the workforce.

Additionally, career pathways in Electronics and Electrical Engineering can suit various personality types. If you prefer working independently or in quieter environments, many roles align with jobs for introverts, such as design, testing, and research positions that allow deep focus and minimal social distractions.

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