Peer Review History: Artificial Neural Networks for Modeling Rheological Properties under High-Temperature and High-Pressure in Gas Well Cement Slurries

Editor(s):

(1) Dr. Guang Yih Sheu, Associate Professor, Chang-Jung Christian University, Taiwan.

Reviewers:

(1) Gopi Krishna Pasam, University of Technology and Applied Sciences, Oman.

(2) E. J. Solteiro Pires, Universidade de TrĂ¡s os Montes e Alto Douro, Portugal.

Additional Reviewers:

(1) V Saravanan, SRM Institute of Science and Technology, India.

Additional Reviewers: (Comments received after deadline)

Open Peer Review Policy: Click Here

Specific Comment:

Average Peer review marks at initial stage: 7.25/10

Average Peer review marks at publication stage: 9/10

Peer Review History:


Stage 1 | Original Manuscript | File 1 | NA


Stage 2 | Peer review report_1 (Gopi Krishna Pasam, Oman) | File 1 | NA


Stage 2 | Peer review report_2 (E. J. Solteiro Pires, Portugal) | File 1 | NA


Stage 2 | Revised_MS_v1_and_Feedback_v1 | File 1 | File 2


Stage 3 | Comment_Editor_1_v1 | File 1 | NA


Posted in Review History.