Real-time Sensing

Real-Time Sensing is a sensor-based analytical method that enables continuous and immediate detection, acquisition, and processing of physiological or environmental data, distinguished by its capacity to provide low-latency, time-synchronized feedback essential for dynamic decision-making in mobile sensor integration, nanosensor networks, proprioceptive monitoring, and volatile organic compound management.

596

Publications

27.5K

Citations

2.6K

Authors

809

Institutions

Publications per year

2017–2026

320

Authors

2.6K

  1. KC
    Krishnendu Chakrabarty

    Duke University, United States

    8 publications · 181 citations

    8

    h-index

  2. ZL
    Zipeng Li

    Duke University, United States

    5 publications · 145 citations

    5

    h-index

  3. JT
    Jochen Teizer

    Georgia Institute of Technology, United States

    5 publications · 398 citations

    5

    h-index

  4. LF
    Lei Feng

    Dalian Medical University, China

    4 publications · 134 citations

    4

    h-index

  5. ZL
    Zhong Lin Wang

    Georgia Institute of Technology, United States

    4 publications · 573 citations

    4

    h-index

1–5 of 2.6K

Venues

  1. Sensors

    25 publications · 749 citations

    18

    h-index

  2. ACS Applied Materials & Interfaces

    14 publications · 826 citations

    14

    h-index

  3. IEEE Sensors Journal

    15 publications · 438 citations

    13

    h-index

  4. Sensors and Actuators B Chemical

    9 publications · 303 citations

    10

    h-index

  5. Analytical Chemistry

    9 publications · 674 citations

    9

    h-index

1–5