World's Best Scientists 2026 revealed!
Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
47
Citations
7498
World Ranking
396
National Ranking
135

Computer Science

D-Index
58
Citations
11239
World Ranking
3687
National Ranking
492

Long Jin 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 Long Jin 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: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Long Jin 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 Long Jin 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Long Jin is a researcher affiliated with Lanzhou University in China, specializing in both engineering and computer science. Their work spans multiple subfields including control and systems engineering, artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, and computer networks and communications.

The scientist's research interests are reflected through various main topics they have extensively covered. These include:

  • Neural Networks and Applications
  • Robotic Mechanisms and Dynamics
  • Robot Manipulation and Learning
  • Robotic Path Planning Algorithms
  • Distributed Control Multi-Agent Systems
  • Iterative Learning Control Systems
  • Model Reduction and Neural Networks

Long Jin has contributed to numerous papers published in prominent venues, a selection of which includes:

  • "Activated Gradients for Deep Neural Networks" (2021), IEEE Transactions on Neural Networks and Learning Systems
  • "RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization" (2020), IEEE Transactions on Industrial Informatics
  • "Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization" (2022), IEEE Transactions on Automatic Control
  • "Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function" (2020), IEEE Access
  • "Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis" (2021), IEEE Transactions on Neural Networks and Learning Systems

The researcher frequently publishes in specific academic venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Industrial Electronics
  • IEEE Transactions on Neural Networks and Learning Systems

Long Jin's collaborative network includes several frequent coauthors such as Mei Liu, Xin Luo, Zhongbo Sun, Shuai Li, and Zhengtai Xie.

Additionally, Long Jin has a book published by Springer Nature titled "Robot Control and Calibration" (2023), which contributes to their academic output in robotics and control systems.

Best Publications

  • Understanding user behavior in online social networks: a survey

    Long Jin;Yang Chen;Tianyi Wang;Pan Hui

  • Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks

    Long Jin;Shuai Li;Hung Manh La;Xin Luo

  • Kinematic Control of Redundant Manipulators Using Neural Networks

    Shuai Li;Yunong Zhang;Long Jin

  • Robot manipulator control using neural networks: A survey

    Long Jin;Shuai Li;Jiguo Yu;Jinbo He

  • Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises

    Long Jin;Yunong Zhang;Shuai Li

  • Modified ZNN for Time-Varying Quadratic Programming With Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators

    Long Jin;Yunong Zhang;Shuai Li;Yinyan Zhang

  • Distributed Task Allocation of Multiple Robots: A Control Perspective

    Long Jin;Shuai Li

  • Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator

    Lin Xiao;Bolin Liao;Shuai Li;Zhijun Zhang

  • Zeroing neural networks: A survey

    Long Jin;Long Jin;Shuai Li;Bolin Liao;Zhijun Zhang

  • Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach

    Long Jin;Yunong Zhang;Shuai Li;Yinyan Zhang

  • Activated Gradients for Deep Neural Networks.

    Mei Liu;Liangming Chen;Xiaohao Du;Long Jin

  • Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm

    Unknown

  • RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective

    Long Jin;Shuai Li;Bin Hu

  • Neural Dynamics for Cooperative Control of Redundant Robot Manipulators

    Long Jin;Shuai Li;Xin Luo;Yangming Li

  • Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises

    Long Jin;Shuai Li;Lin Xiao;Rongbo Lu

  • A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach

    Long Jin;Shuai Li;Bin Hu;Mei Liu

  • Taylor $O(h^{3})$ Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators

    Bolin Liao;Yunong Zhang;Long Jin

  • Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation

    Long Jin;Yunong Zhang

  • G2-Type SRMPC Scheme for Synchronous Manipulation of Two Redundant Robot Arms

    Long Jin;Yunong Zhang

  • Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor

    Unknown

  • RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables

    Huiyan Lu;Long Jin;Xin Luo;Bolin Liao

  • Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach

    Long Jin;Long Jin;Shuai Li;Hung Manh La;Xin Zhang

  • RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization

    Long Jin;Jingkun Yan;Xiujuan Du;Xiuchun Xiao

  • Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization

    Yunong Zhang;Long Jin;Dongsheng Guo;Yonghua Yin

  • Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis.

    Xin Luo;Zhigang Liu;Long Jin;Yue Zhou

Frequent Co-Authors

Shuai Li
Shuai Li University of Oulu
Yunong Zhang
Yunong Zhang Sun Yat-sen University
Lin Xiao
Lin Xiao Hunan Normal University
Xin Luo
Xin Luo Chinese Academy of Sciences
Bin Hu
Bin Hu Lanzhou University
Mingsheng Shang
Mingsheng Shang Chinese Academy of Sciences
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Jiguo Yu
Jiguo Yu Qilu University of Technology
Junzhi Yu
Junzhi Yu Peking University
Kenli Li
Kenli Li Hunan 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

Exploring online degrees can open up diverse career opportunities for students interested in tech, management, or information sciences. A popular option is pursuing one of the cheapest bachelor degree programs, which can help you start your career in computer science without a heavy financial burden.

For those looking to build specialized technical expertise, an online engineering degree is a flexible choice that provides practical, job-ready skills. Many computer science graduates also aim to enhance their business acumen by enrolling in an online executive mba to prepare for leadership positions.

Alternatively, some students pursue interdisciplinary paths like library and information science. Accredited mlis programs (Master of Library and Information Science) are available online for those wanting to merge technology with information management in today’s digital world.

Best Scientists Citing Long Jin

Trending Scientists

Recently Published Articles