World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5029
World Ranking
13080
National Ranking
5264

Jindong Tan 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 Jindong Tan 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Jindong Tan 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 Jindong Tan 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

Jindong Tan is affiliated with the University of Tennessee at Knoxville in the United States. Their research spans multiple disciplines, primarily focusing on Medicine and Engineering. The scientist's work includes various subfields such as Computer Vision and Pattern Recognition, Biomedical Engineering, Rheumatology, Aerospace Engineering, and Molecular Biology.

Their research topics cover a range of areas, with emphasis on Advanced Vision and Imaging, Osteoarthritis Treatment and Mechanisms, Robotics and Sensor-Based Localization, COVID-19 epidemiological studies, Mathematical and Theoretical Epidemiology and Ecology Models, SARS-CoV-2 and COVID-19 Research, and Machine Fault Diagnosis Techniques.

Jindong Tan has coauthored frequently with several researchers, including Dingqun Bai, Zijie Wang, Yinlong Zhang, Jieliang Shen, and Mengtong Guan. These collaborations highlight a network of partnerships contributing to their scientific outputs.

The scientist has published in a variety of academic venues. Frequent publication sites include the SSRN Electronic Journal, International Journal of Sensor Networks, Building and Environment, Signal Transduction and Targeted Therapy, and Applied Mathematical Modelling.

Some notable recent papers authored or coauthored by Jindong Tan are:

  • Segmenting areas of potential contamination for adaptive robotic disinfection in built environments (2020), published in Building and Environment
  • Transmission dynamics and control methodology of COVID-19: A modeling study (2020), published in Applied Mathematical Modelling
  • Malate initiates a proton-sensing pathway essential for pH regulation of inflammation (2024), published in Signal Transduction and Targeted Therapy
  • Validating an automated image identification process of a passive image-assisted dietary assessment method: proof of concept (2020), published in Public Health Nutrition
  • Comparison of Suture Button and Syndesmotic Screw for Ankle Syndesmotic Injuries: A Meta-analysis of Randomized Controlled Trials (2023), published in Orthopaedic Journal of Sports Medicine

Best Publications

  • Heartbeat-Driven Medium-Access Control for Body Sensor Networks

    Huaming Li;Jindong Tan

  • Distributed multi-robot coordination in area exploration

    Weihua Sheng;Qingyan Yang;Jindong Tan;Ning Xi

  • DietCam: Automatic dietary assessment with mobile camera phones

    Fanyu Kong;Jindong Tan

  • An ultra-low-power medium access control protocol for body sensor network

    Huaming Li;Jindong Tan

  • Sambot: A Self-Assembly Modular Robot System

    Hongxing Wei;Youdong Chen;Jindong Tan;Tianmiao Wang

  • Integrated Task Planning and Control for Mobile Manipulators

    Jindong Tan;Ning Xi;Yuechao Wang

  • An Adaptive-Gain Complementary Filter for Real-Time Human Motion Tracking With MARG Sensors in Free-Living Environments

    Ya Tian;Hongxing Wei;Jindong Tan

  • Selection and Navigation of Mobile Sensor Nodes Using a Sensor Network

    A. Verma;H. Sawant;J. Tan

  • DietCam: Multiview Food Recognition Using a Multikernel SVM

    Hongsheng He;Fanyu Kong;Jindong Tan

  • Using Bluetooth and sensor networks for intelligent transportation systems

    H. Sawant;Jindong Tan;Qingyan Yang;Qizhi Wang

  • Real-time Daily Activity Classification with Wireless Sensor Networks using Hidden Markov Model

    Jin He;Huaming Li;Jindong Tan

  • Recognition of Car Makes and Models From a Single Traffic-Camera Image

    Hongsheng He;Zhenzhou Shao;Jindong Tan

  • HealthAware: Tackling obesity with health aware smart phone systems

    Chunming Gao;Fanyu Kong;Jindong Tan

  • Dynamics Modeling and Analysis of a Swimming Microrobot for Controlled Drug Delivery

    Huaming Li;Jindong Tan;Mingjun Zhang

  • Unified model approach for planning and control of mobile manipulators

    Jindong Tan;Ning Xi

  • DietCam: Regular Shape Food Recognition with a Camera Phone

    Fanyu Kong;Jindong Tan

  • Research of TDOA Based Self-localization Approach in Wireless Sensor Network

    Jun Xiao;Lirong Ren;Jindong Tan

  • Accurate Human Navigation Using Wearable Monocular Visual and Inertial Sensors

    Ya Tian;William R. Hamel;Jindong Tan

  • Deep Reinforcement Learning With Optimized Reward Functions for Robotic Trajectory Planning

    Jiexin Xie;Zhenzhou Shao;Yue Li;Yong Guan

  • Simultaneous localization and mobile robot navigation in a hybrid sensor network

    S. Shenoy;Jindong Tan

  • RT-ROS

    Hongxing Wei;Zhenzhou Shao;Zhen Huang;Renhai Chen

Frequent Co-Authors

Wei Liang
Wei Liang Shenyang Institute of Automation
Ning Xi
Ning Xi University of Hong Kong
Weihua Sheng
Weihua Sheng Oklahoma State University
Jizhong Xiao
Jizhong Xiao City University of New York
Yun-Hui Liu
Yun-Hui Liu Chinese University of Hong Kong
Zili Shao
Zili Shao Chinese University of Hong Kong
Aiguo Song
Aiguo Song Southeast University
Yasuhisa Hasegawa
Yasuhisa Hasegawa Nagoya University
Toshio Fukuda
Toshio Fukuda Nagoya University
Wen J. Li
Wen J. Li City University of Hong Kong

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