Kim, D.-Y., Jung, E.K., Zhang, J., Lee, S.-Y., Lee, and J.-H.. Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning.Human Brain Mapping,2020, 41 (15): 4314-4331.

Zhang, Jun and Z. Shi. Bayesian inference as probability transfer across sample spaces.Decision,2020, 7 (2): 121-136.

Grigorian, S. and Jun Zhang. (Para)-holomorphic and conjugate on (para- )Hermitian and (para-)Kahler manifolds.Results in Mathematics,2019, 74 (4): 150.

Zhang, Jun and G. Khan. From Hessian to Weitzenbock: Manifolds with torsioncarrying connections.Information Geometry,2019, 2 (1): 77-98.

Qian, N. and Jun Zhang. Neuronal Firing Rate As Code Length: a Hypothesis.Computation Brain & Behavior,2019, 3 (1): 34–53.

Zhang, Jun. Characterizing projective geometry of binocular visual space through Mobius transformation.Journal of Mathematical Psychology,2019, 88: 15-26.

Greenfield, M., and Jun Zhang. Null preference and the resolution of the topological social choice paradox.Mathematical Social Sciences,2018, 93: 47-51.

Naudts, Jan, and Jun Zhang. Rho–tau embedding and gauge freedom in information geometry.Information Geometry,2018, 1 (1): 79-115.

Fei, T., and Jun Zhang. Interaction of Codazzi couplings with (para)-Kahler geometry.Results in Mathematics,2017, 72 (4): 2037-2056.

Leok, M., and Jun Zhang. Connecting information geometry to geometric mechanics.Entropy,2017, 19 (10): 518.