World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5523
World Ranking
11661
National Ranking
1441

Jizhong Zhao 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 Jizhong Zhao 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Jizhong Zhao 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 Jizhong Zhao 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Jizhong Zhao is affiliated with Xi'an Jiaotong University in China and has a research focus primarily in the fields of Computer Science and Engineering. Their work spans several subfields including Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Media Technology, and Signal Processing.

The main topics explored by Jizhong Zhao involve Indoor and Outdoor Localization Technologies, RFID technology advancements, Privacy-Preserving Technologies in Data, Speech and Audio Processing, Mobile Crowdsensing and Crowdsourcing, Speech Recognition and Synthesis, and Gait Recognition and Analysis.

Notable recent papers by Jizhong Zhao include the following:

  • Hu-Fu: Replay-Resilient RFID Authentication (2020), published in IEEE/ACM Transactions on Networking
  • RFnet: Automatic Gesture Recognition and Human Identification Using Time Series RFID Signals (2020), published in Mobile Networks and Applications
  • UltraSpeech (2022), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • MI-Mesh (2023), published in Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Co-MDA: Federated Multisource Domain Adaptation on Black-Box Models (2023), published in IEEE Transactions on Circuits and Systems for Video Technology

Jizhong Zhao has frequently published in multiple venues, including:

  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing
  • Future Generation Computer Systems
  • IEEE/ACM Transactions on Networking

Frequent co-authors collaborating with Jizhong Zhao are Wei Xi, Han Ding, Ge Wang, Cui Zhao, and Kun Zhao. These collaborations emphasize joint work in areas related to RFID technologies, mobile computing, and interactive systems.

Best Publications

  • Electronic frog eye: Counting crowd using WiFi

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

  • Does wireless sensor network scale? A measurement study on GreenOrbs

    Yunhao Liu;Yuan He;Mo Li;Jiliang Wang

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

    Lufeng Mo;Yuan He;Yunhao Liu;Jizhong Zhao

  • Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing

    Peng Cheng;Xiang Lian;Lei Chen;Jinsong Han

  • Twins: device-free object tracking using passive tags

    Jinsong Han;Chen Qian;Xing Wang;Dan Ma

  • FEMO: A Platform for Free-weight Exercise Monitoring with RFIDs

    Han Ding;Longfei Shangguan;Zheng Yang;Jinsong Han

  • Reliable diversity-based spatial crowdsourcing by moving workers

    Peng Cheng;Xiang Lian;Zhao Chen;Rui Fu

  • Footprint: Detecting Sybil Attacks in Urban Vehicular Networks

    Shan Chang;Yong Qi;Hongzi Zhu;Jizhong Zhao

  • Localization of wireless sensor networks in the wild: pursuit of ranging quality

    Jizhong Zhao;Wei Xi;Yuan He;Yunhao Liu

  • CBID: A Customer Behavior Identification System Using Passive Tags

    Jinsong Han;Han Ding;Chen Qian;Wei Xi

  • Geneprint: generic and accurate physical-layer identification for UHF RFID tags

    Jinsong Han;Chen Qian;Panlong Yang;Dan Ma

  • Instant and Robust Authentication and Key Agreement among Mobile Devices

    Wei Xi;Chen Qian;Jinsong Han;Kun Zhao

  • Rejecting the attack: Source authentication for Wi-Fi management frames using CSI Information

    Zhiping Jiang;Jizhong Zhao;Xiang-Yang Li;Jinsong Han

  • KEEP: Fast Secret Key Extraction Protocol for D2D Communication

    Wei Xi;Xiang Yang Li;Chen Qian;Jinsong Han

  • Estimating Crowd Density in an RF-Based Dynamic Environment

    Yaoxuan Yuan;Jizhong Zhao;Chen Qiu;Wei Xi

  • Efficient data aggregation in multi-hop wireless sensor networks under physical interference model

    Xiang-Yang Li;XiaoHua Xu;ShiGuang Wang;ShaoJie Tang

  • Haze Removal Using the Difference- Structure-Preservation Prior

    Linyuan He;Jizhong Zhao;Nanning Zheng;Duyan Bi

  • RASPberry: A stable reader activation scheduling protocol in multi-reader RFID systems

    ShaoJie Tang;Jing Yuan;Xiang-Yang Li;Guihai Chen

  • Twins: Device-free object tracking using passive tags

    Jinsong Han;Chen Qian;Xing Wang;Dan Ma

  • Communicating Is Crowdsourcing: Wi-Fi Indoor Localization with CSI-Based Speed Estimation

    Zhi Ping Jiang;Wei Xi;Xiangyang Li;Xiangyang Li;Shaojie Tang

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

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

  • GenePrint: Generic and accurate physical-layer identification for UHF RFID tags

    Dan Ma;Chen Qian;Wenpu Li;Jinsong Han

Frequent Co-Authors

Jinsong Han
Jinsong Han Zhejiang University
Xiang-Yang Li
Xiang-Yang Li University of Science and Technology of China
Chen Qian
Chen Qian University of California, Santa Cruz
Yuan He
Yuan He Tsinghua University
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Yunhao Liu
Yunhao Liu Tsinghua University
Nanning Zheng
Nanning Zheng Xi'an Jiaotong University
Longfei Shangguan
Longfei Shangguan University of Pittsburgh
Zheng Yang
Zheng Yang Tsinghua University
Xue Liu
Xue Liu McGill 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

Studying Computer Science in the USA opens the door to a wide range of related online degrees, each offering unique career opportunities. Many students explore programs in fields like engineering, physics, and data science to broaden their skill set and boost their employability.

For those interested in engineering, consider pursuing the cheapest online master's mechanical engineering programs to gain strong problem-solving and analytical skills. If physics intrigues you, you can obtain an online physics degree to deepen your understanding of the physical world—valuable across tech and research careers.

The tech industry is also seeing a surging demand for data experts. Earning a data scientist degree online is a cost-effective way to prepare for roles in analytics, machine learning, and AI. Additionally, an online bachelor’s in electrical engineering enables students to explore careers in electronics, robotics, and telecommunications.

Exploring these related online degrees can significantly expand your career pathways in the ever-evolving tech landscape.

Best Scientists Citing Jizhong Zhao

Trending Scientists