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Gongjun Yan 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 Gongjun Yan 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+

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

Gongjun Yan 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 Gongjun Yan 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+

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

Overview

Gongjun Yan is a researcher affiliated with the University of Southern Indiana in the United States, with a primary focus in the computer science domain. Their research spans multiple subfields including software, information systems, aerospace engineering, computer networks and communications, and computer vision and pattern recognition.

The main topics of Gongjun Yan's work encompass software reliability and analysis research, software engineering research, software system performance and reliability, robotics and sensor-based localization, robotic path planning algorithms, UAV applications and optimization, and software testing and debugging techniques.

Notable recent publications by Gongjun Yan include:

  • "A systematic mapping study of software performance research" (2023) published in Software Practice and Experience
  • "Fault Prediction with Static Software Metrics in Evolving Software: A Case Study in Apache Ant" (2022) published in Journal of Computer and Communications
  • "Tightly-Coupled SLAM Integrating LiDAR and INS for Unmanned Vehicle Navigation in Campus Environments" (2024) published in IEEE Access
  • "Blockchain and Location Based Data Security" (2023) published in SSRN Electronic Journal
  • "Exploring Information Systems (IS) curricula: a semantic analysis approach" (2023) published in Information Discovery and Delivery

Frequent coauthors working with Gongjun Yan include Xue Han, Tingting Yu, Linshuai Zhang, Qian Wang, and Shuoxin Gu.

Their work has appeared in various publication venues with repeated contributions to:

  • Software Practice and Experience
  • IEEE Access
  • Journal of Computer and Communications
  • SSRN Electronic Journal
  • Information Discovery and Delivery

Gongjun Yan's varied research integrates methodologies and applications touching software system reliability, unmanned vehicle navigation technologies, and blockchain-based data security. The emphasis on both theoretical software performance studies and practical applications in robotics reflects an interdisciplinary approach within computer science and aerospace engineering.

Best Publications

  • Developing Vehicular Data Cloud Services in the IoT Environment

    Wu He;Gongjun Yan;Li Da Xu

  • Providing VANET security through active position detection

    Gongjun Yan;Stephan Olariu;Michele C. Weigle

  • Enhancing VANET Performance by Joint Adaptation of Transmission Power and Contention Window Size

    D. B. Rawat;D. C. Popescu;Gongjun Yan;S. Olariu

  • Security challenges in vehicular cloud computing

    Gongjun Yan;Ding Wen;S. Olariu;M. C. Weigle

  • A novel social media competitive analytics framework with sentiment benchmarks

    Wu He;Harris Wu;Gongjun Yan;Vasudeva Akula

  • SmartParking: A Secure and Intelligent Parking System

    Gongjun Yan;Weiming Yang;Danda B Rawat;Stephan Olariu

  • Datacenter at the Airport: Reasoning about Time-Dependent Parking Lot Occupancy

    S. Arif;S. Olariu;Jin Wang;Gongjun Yan

  • A Probabilistic Analysis of Link Duration in Vehicular Ad Hoc Networks

    Gongjun Yan;S. Olariu

  • The Next Paradigm Shift: From Vehicular Networks to Vehicular Clouds

    Stefano Basagni;Marco Conti;Silvia Giordano;Ivan Stojmenovic

  • Gaining competitive intelligence from social media data: Evidence from two largest retail chains in the world

    Wu He;Jiancheng Shen;Xin Tian;Yaohang Li

  • Application of social media analytics: a case of analyzing online hotel reviews

    Wu He;Xin Tian;Ran Tao;Weidong Zhang

  • Providing location security in vehicular Ad Hoc networks

    Gongjun Yan;S. Olariu;M. Weigle

  • Trust On the Security of Wireless Vehicular Ad-hoc Networking.

    Danda B. Rawat;Gongjun Yan;Bhed Bahadur Bista;Michele C. Weigle

  • Towards Secure Vehicular Clouds

    Gongjun Yan;Danda B. Rawat;Bhed B. Bista

  • Dynamic Adaptation of Joint Transmission Power and Contention Window in VANET

    Danda B. Rawat;Gongjun Yan;Dimitrie C. Popescu;Michele C. Weigle

  • Towards intelligent transportation Cyber-Physical Systems: Real-time computing and communications perspectives

    Danda B. Rawat;Chandra Bajracharya;Gongjun Yan

  • Spectrum Sensing Methods and Dynamic Spectrum Sharing in Cognitive Radio Networks: A Survey

    Danda B Rawat;Gongjun Yan

  • Providing VANET security through active position detection

    Gongjun Yan Yan;Gyanesh Choudhary;Michele C. Weigle;Stephan Olariu

  • A bilingual approach for conducting Chinese and English social media sentiment analysis

    Gongjun Yan;Wu He;Jiancheng Shen;Chuanyi Tang

  • Spectrum Sensing in Cognitive Radio Networks

    Danda B. Rawat;Gongjun Yan;Bhed Bahadur Bista

Frequent Co-Authors

Danda B. Rawat
Danda B. Rawat Howard University
Stephan Olariu
Stephan Olariu Old Dominion University
Wu He
Wu He Old Dominion University
Li Da Xu
Li Da Xu Old Dominion University
Ling Li
Ling Li Old Dominion University
Yaohang Li
Yaohang Li Old Dominion University

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