近日，科睿唯安发布了2024年度“全球高被引科学家”名单，遴选全球高校、研究机构和商业组织中对所在研究领域具有重大且广泛影响的顶尖科研人才。来自全球 59 个国家和地区 1200 多家机构的 6636 名科学家入选2024年度名单。科睿唯安科学信息研究所（ISI™）的文献计量学专家和数据科学家基于 Web of Science 核心合集（Web of Science Core Collection™） 引文数据以及定性分析，开展了严格的评估和遴选。

2024年度名单提供了对全球顶尖科研人才现状的重要见解，并揭示了不同国家、地区和机构的发展趋势。中国内地和香港入选人员占比显著上升，美国占比则逐渐下降。这种趋势反映出顶尖科研和学术贡献在地理、政治和文化层面正在经历再平衡的过程。

在包括政府和其他类型研究机构在内的所有机构中，中国科学院以 308 人次荣登榜首，多于去年的 270 人次。其他排名靠前的政府或非大学机构包括：美国国立卫生研究院（90人次）、德国马普学会（56人次）和美国纪念斯隆·凯特琳癌症中心（44人次）。

计算机科学和工程学科入选的195名高被引科学家中，有66名是IEEE/CAA Journal of Automatica Sinica的编委会成员、青年编委和作者。衷心祝贺入选的各位专家！

本期遴选入选学者2023年以来在JAS发表的部分高关注度论文（未包含2022年及之前发表、已录用定稿中，以及投稿在审的论文），欢迎阅览！

L. Chen, Y. Xie, Y. Wang, S. Ge, and F.-Y. Wang, “Sustainable mining in the era of artificial intelligence,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 1–4, Jan. 2024. doi: 10.1109/JAS.2023.124182 

M. Ye, Q.-L. Han, L. Ding, S. Xu, and G. Jia, “Distributed Nash equilibrium seeking strategies under quantized communication,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 103–112, Jan. 2024. doi: 10.1109/JAS.2022.105857 

R. Wang, Z. Zhou, K. Li, T. Zhang, L. Wang, X. Xu, and X. Liao, “Learning to branch in combinatorial optimization with graph pointer networks,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 1, pp. 157–169, Jan. 2024. doi: 10.1109/JAS.2023.124113 

F. Ming, W. Gong, and  Y. Jin,  “Even search in a promising region for constrained multi-objective optimization,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 474–486, Feb. 2024. doi: 10.1109/JAS.2023.123792 

X. Ge, Q.-L. Han, X.-M. Zhang, and  D. Ding,  “Communication resource-efficient vehicle platooning control with various spacing policies,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 362–376, Feb. 2024. doi: 10.1109/JAS.2023.123507 

Y. Yu, G.-P. Liu, Y. Huang, and  P. Shi,  “Optimal cooperative secondary control for islanded DC microgrids via a fully actuated approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 405–417, Feb. 2024. doi: 10.1109/JAS.2023.123942 

J. Kang, J. Chen, M. Xu, Z. Xiong, Y. Jiao, L. Han, D. Niyato, Y. Tong, and  S. Xie,  “UAV-assisted dynamic avatar task migration for vehicular metaverse services: A multi-agent deep reinforcement learning approach,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 430–445, Feb. 2024. doi: 10.1109/JAS.2023.123993 

Y. Li, W. Liu, J. Sun, C. Chen, J. Zhang, and G. Wang, “Online consensus control of nonlinear affine systems from disturbed data,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 551–553, Feb. 2024. doi: 10.1109/JAS.2023.123894 

D. Zhang, J. Hu, J. Cheng, Z.-G. Wu, and  H. Yan,  “A novel disturbance observer based fixed-time sliding mode control for robotic manipulators with global fast convergence,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 3, pp. 661–672, Mar. 2024. doi: 10.1109/JAS.2023.123948 

X. Chen, X. Li, S. Yu, Y. Lei, N. Li, and B. Yang, “Dynamic vision enabled contactless cross-domain machine fault diagnosis with neuromorphic computing,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 3, pp. 788–790, Mar. 2024. doi: 10.1109/JAS.2023.124107 

M. V. Luzón, N. Rodríguez-Barroso, A. Argente-Garrido, D. Jiménez-López, J. M. Moyano, J. Del Ser, W. Ding, and  F. Herrera,  “A tutorial on federated learning from theory to practice: Foundations, software frameworks, exemplary use cases, and selected trends,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 4, pp. 824–850, Apr. 2024. doi: 10.1109/JAS.2024.124215 

X. Yao, H. Sun, Z. Zhao, and  Y. Liu,  “Event-triggered bipartite consensus tracking and vibration control of flexible Timoshenko manipulators under time-varying actuator faults,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 5, pp. 1190–1201, May 2024. doi: 10.1109/JAS.2024.124266 

Z. Zuo, J. Tang, R. Ke, and  Q.-L. Han,  “Hyperbolic tangent function-based protocols for global/semi-global finite-time consensus of multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 6, pp. 1381–1397, Jun. 2024. doi: 10.1109/JAS.2024.124485 

W. Ren, Z.-R. Pan, W. Xia, and  X.-M. Sun,  “Hierarchical controller synthesis under linear temporal logic specifications using dynamic quantization,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2082–2098, Oct. 2024. doi: 10.1109/JAS.2024.124473 

M. Wang, H. Yan, J. Qiu, and W. Ji, “Fuzzy-model-based finite frequency fault detection filtering design for two-dimensional nonlinear systems,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2099–2110, Oct. 2024. doi: 10.1109/JAS.2024.124452 

Z. L. Sheng, C. Lin, and S. Y. Xu, “A semi-looped-functional for stability analysis of sampled-data systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1332–1335, May 2023. doi: 10.1109/JAS.2023.123498 

Z. J. Zhao, J. Zhang, S. Y. Chen, W. He, and  K.-S. Hong,  “Neural-network-based adaptive finite-time control for a two-degree-of-freedom helicopter system with an event-triggering mechanism,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 8, pp. 1754–1765, Aug. 2023. doi: 10.1109/JAS.2023.123453 

L. L. Fan, S. Li, Y. Li, B. Li, D. P. Cao, and  F.-Y. Wang,  “Pavement cracks coupled with shadows: A new shadow-crack dataset and a shadow-removal-oriented crack detection approach,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 7, pp. 1593–1607, Jul. 2023. doi: 10.1109/JAS.2023.123447 

Y. Tian, Y. D. Feng, X. Y. Zhang, and C. Y. Sun, “A fast clustering based evolutionary algorithm for super-large-scale sparse multi-objective optimization,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1048–1063, Apr. 2023. doi: 10.1109/JAS.2022.105437 

X. Y. Liu, T. Ma, Z. X. Tang, X. H. Qin, H. B. Zhou, and X. M. Shen, “UltraStar: A lightweight simulator of ultra-dense LEO satellite constellation networking for 6G,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 632–645, Mar. 2023. doi: 10.1109/JAS.2023.123084 

W. J. Cao, L. Liu, and G. Feng, “Distributed adaptive output consensus of unknown heterogeneous non-minimum phase multi-agent systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 997–1008, Apr. 2023. doi: 10.1109/JAS.2023.123204 

K. Zhao, C. Y. Wen, Y. D. Song, and F. L. Lewis, “Adaptive uniform performance control of strict-feedback nonlinear systems with time-varying control gain,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 2, pp. 451–461, Feb. 2023. doi: 10.1109/JAS.2022.106064 

Z. Y. Qin, X. K. Lu, X. S. Nie, D. F. Liu, Y. L. Yin, and  W. G. Wang,  “Coarse-to-fine video instance segmentation with factorized conditional appearance flows,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1192–1208, May 2023. doi: 10.1109/JAS.2023.123456 

B. Q. Li, S. P. Wen, Z. Yan, G. H. Wen, and T. W. Huang, “A survey on the control Lyapunov function and control barrier function for nonlinear-affine control systems,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 3, pp. 584–602, Mar. 2023. doi: 10.1109/JAS.2023.123075 

Z.-X. Liu, X.-C. Jin, Y.-A. Xie, and Y. Yang, “Joint slot scheduling and power allocation in clustered underwater acoustic sensor networks,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 6, pp. 1501–1503, Jun. 2023. doi: 10.1109/JAS.2022.106031 

Z. H. Li, D. Shen, and X. H. Yu, “Enhancing iterative learning control with fractional power update law,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 5, pp. 1137–1149, May 2023. doi: 10.1109/JAS.2023.123525 

B. Zhang, C. X. Dou, D. Yue, J. H. Park, Y. D. Zhang, and Z. Q. Zhang, “Game and dynamic communication path-based pricing strategies for microgrids under communication interruption,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 4, pp. 1032–1047, Apr. 2023. doi: 10.1109/JAS.2023.123138 

W. Zhang, L. F. Deng, L. Zhang, and D. R. Wu, “A survey on negative transfer,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 2, pp. 305–329, Feb. 2023. doi: 10.1109/JAS.2022.106004 

X. Tian, W. Zhang, D. Yu, and J. Y. Ma, “Sparse tensor prior for hyperspectral, multispectral, and panchromatic image fusion,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 1, pp. 284–286, Jan. 2023. doi: 10.1109/JAS.2022.106013