Journal of Defense Management

Journal of Defense Management
Open Access

ISSN: 2167-0374

+44 7460312890

Citations Report

Citations Report - Journal of Defense Management [197 Articles]

The articles published in Journal of Defense Management have been cited 197 times by eminent researchers all around the world. Following is the list of articles that have cited the articles published in Journal of Defense Management.

Haldane, AG and Turrell AE. An interdisciplinary model for macroeconomics. Inst Econ Mag. 2019; 21 (40), 69-111.

Xinyi Z, Qun Z, Ruilong Z, Bailing T, Xiuyun Z, Cong F. Application of Brain-Like Intelligent Technology to Unmanned Systems. Control Theory and Applications. 2019; 36 (1): 1-2.

Xiaofeng H, Jiuyang T. AlphaGo's breakthrough and war chess deduction challenge. Sci Technol Rev. 2017; 35(21):49-60.

Haldane AG, Turrel AE. An interdisciplinary model for macroeconomics. Inst Econ Mag. 2019; 21(40): 69-110.

Haldane AG, Turrel AE. Un modelo interdisciplinary para la macroeconomia. Revista de Economía institucional. 2019; 21(40): 69-110.

Heydarian Pashakhanlou A.  AI, autonomy, and airpower: The end of pilots?. Defence Studies. 2019; 19(4): 337-352.

Shin H, Lee J, Kim H, Shim DH. An autonomous aerial combat framework for two-on-two engagements based on basic fighter maneuvers. Aerosp Sci Technol. 2018; 72: 305-315.

Ludwig J, Presnell B. Developing an adaptive opponent for tactical training. InInternational Conference on Human-Computer Interaction. Springer Cham. 2019; 11597: 532-541.

Zuluaga JA, Carrasco EP, Pabon JD, Leon KG, Montoya OL. A data fusion system for simulation of critical scenarios and decision-making. Neogranadine Sci Eng. 2020; 30(1).

Deng B, Collier T. Increasing relative angular velocity for air combat in zero gravity. Aerospace Systems. 2019; 2(2): 83-95.

Zhou Y, Tang Y, Zhao X. A novel uncertainty management approach for air combat situation assessment based on improved belief entropy. Entropy. 2019; 21(5): 495.

Wallace R. Cognitive instabilities under contention, friction, and the fog-of-war challenge the AI revolution. Connect Sci. 2019; 5: 1-6.

Krupiy T. Regulating a game changer: Using a distributed approach to develop an accountability framework for lethal autonomous weapon systems. Geo. J. Int'l L. 2018; 50:45.

Bauckhage C, Ojeda C, Schücker J, Sifa R, Wrobel S. Informed machine learning through functional composition. InLWDA. 2018; 33-37.

Zhang X, Liu G, Yang C, Wu J. Research on air combat maneuver decision-making method based on reinforcement learning. Elect. 2018; 7(279): 1-18.

Shi Pengfei. Development and challenges of autonomous control technology for drones. Sci Technol Rev. 2017; 35 (7): 32-38.

Sathyan A, Ma O. Collaborative control of multiple robots using genetic fuzzy systems. Robotica. 2019; 37(11):1922-1936.

Dong Y. Deep learning-based opponent aircraft attitude detection in autonomous air combat. J Aerosp Inf Syst. 2019;16(4): 162-167.

Zhang X, Liu G, Yang C, Wu J. Research on air confrontation maneuver decision-making method based on reinforcement learning. Elect. 2018; 7(11): 279.

Leuenberger G, Wiering MA. Actor-critic reinforcement learning with neural networks in continuous games. InICAART. 2018; 2: 53-60.

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