Unconventional Resources 2025 Journal Awards announced
Published 06 February, 2026
In recognition of editors', authors' and reviewers' significant contributions to the journal, the Editorial Board and publisher are pleased to present the following awards:
Editor Award
This award recognises associate editors who handled at least five submissions in 2023-2024.
Awardee list:
Zhu, Peng Chengdu University of Technology, China
Cai, Yidong China University of Geosciences, Beijing, China
Feng, Bo Jilin University, China
Cao, Jian Nanjing University, China
Li, Yong China University of Mining and Technology, Beijing, China
Cui, Chuanzhi China University of Petroleum (East China), China
Hoseinzadeh, Siamak University of Utah, USA
Yin, Shuai Xi'an Shiyou University, China
Reviewer Award
This award recognises reviewers who completed at least five reviews in 2023-2024.
Awardee list:
Khandoozi, Sabber University of Cincinnati, USA
Abdulateef, Ammar Bilad Alrafidain University College, Iraq
Samadi Koucheksaraee, Arvin North Dakota State University, USA
Kumar, Rajeev Schlumberger, Qatar
Liu, Changcheng SK Innovation, China
He, Jianhua Chengdu University of Technology, China
Ju, Wei China University of Mining and Technology, Xuzhou, China
Luo, Xin Chengdu University of Technology, China
Feng, Shaoke Chengdu University of Technology, China
Ren, Qiqiang Chengdu University of Technology, China
Kyriakopoulos, Grigorios L. National Technical University of Athens, Greece
Salnikova, Anastasiya Kuban State University, Russia
Top Cited Paper Award
This award recognizes the Top 5 most-cited papers published in 2023-2024.
Awardee list:
1. Status and perspectives on CCUS clusters and hubs
Rui Wang
2. Overview of hydrogen storage and transportation technology in China
Gemeng Zhang, Zhenqiang Jiang
Ruyue Wang, Guanping Wang, Gang Zhao, Menhui Qian, Yuejiao Liu, Weiling He, Zhihao Li
4. Water-methane interactions in coal: Insights from molecular simulation
Yanbin Yao, Chu Zhang, Shun Ye, Xiaoxiao Sun, Hao Wu
5. Methods for identifying complex lithologies from log data based on machine learning
Mi Liu, Song Hu, Jun Zhang, Youlong Zou
Congratulations to all award recipients!