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WZ

Wanjia Zhang

First Affiliated Hospital of Hunan University of Traditional Chinese Medicine

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Co-Authors

Zhiyong Gao

Central South University

Wei Sun

Central South University

Jian Cao

Sixth Affiliated Hospital of Kunming Medical University

Xin Jin

Lanzhou Jiaotong University

Zhitao Feng

University of California, Davis

Shihong Xu

University of Alberta

Renji Zheng

Central South University

Stephen Pooley

Central South University

John Ralston

University of South Australia

Ruihua Fan

Central South University

Cooperative Institutions

Central South University

First Affiliated Hospital of Hunan University of Traditional Chinese Medicine

Chinese Academy of Sciences

Hunan University of Traditional Chinese Medicine

University of Chinese Academy of Sciences

Nanjing University of Science and Technology

University of Science and Technology of China

Jilin University

Harbin Institute of Technology

Education Department of Hunan Province

Author Statistics

Papers

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Synthesis of selective heteroatomic collectors for the improved separation of sulfide minerals

Separation and Purification Technology (2022)

Wanjia Zhang Jian Cao Sihui Wu Wei Sun Zhitao Feng

HOMO/LUMO

Xanthate

Imidazole

10.1016/j.seppur.2022.120563

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Citations (22)

Improved flotation of chalcopyrite from galena and pyrite by employing Cu-affinity phosphate collector

Minerals Engineering (2023)

Xu Jiang Wanjia Zhang Ruihua Fan Zixuan Zhang Siyu Chen

Xanthate

Sulfide Minerals

Copper sulfide

10.1016/j.mineng.2023.108064

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Citations (20)

Efficient heterogeneous photodegradation of Eosin Y by oxidized pyrite using the photo-Fenton process

Minerals Engineering (2022)

Wanjia Zhang Xu Jiang John Ralston Jian Cao Xin Jin

Eosin

Photodegradation

10.1016/j.mineng.2022.107972

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Citations (12)

Advanced collector-free flotation of typical sulfide minerals using a novel heterocyclic depressant

Minerals Engineering (2023)

Wanjia Zhang Jing Chen Shihong Xu Xin Jin Wei Sun

Molybdenite

Depressant

Xanthate

Sulfide Minerals

Froth flotation

10.1016/j.mineng.2023.108120

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Citations (4)

Improved flotation of molybdenite from talc using a selective reagent scheme

Minerals Engineering (2021)

Wanjia Zhang Li‐Ming Tao Luobing Xun Zhongxu Qi Stephen Pooley

Molybdenite

Talc

Depressant

Froth flotation

Xanthate

Beneficiation

Gangue

10.1016/j.mineng.2021.107324

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Citations (19)

Improved flotation separation of sulfide minerals by synthesized surfactant based on para-position methyl effect

Separation and Purification Technology (2022)

Wanjia Zhang Yunxia Wu Ruihua Fan Jian Cao Stephen Pooley

Xanthate

Froth flotation

Sulfide Minerals

10.1016/j.seppur.2022.121550

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Citations (16)

Prediction of collector flotation performance based on machine learning and quantum chemistry: A case of sulfide minerals

Separation and Purification Technology (2024)

Wanjia Zhang Wei Sun Mengjun Zheng Shihong Xu Renji Zheng

Sulfide Minerals

Froth flotation

Mineral processing

10.1016/j.seppur.2024.126954

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Citations (4)

Green and selective flotation separation of complex sulfide minerals via pH-controlled interfacial reactions using a thione collector

Separation and Purification Technology (2025)

Zhiyong Gao Xin Jin Feng Xie Yang Lin Shihong Xu

Sulfide Minerals

10.1016/j.seppur.2025.132125

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Citations (0)

ChemReco: automated recognition of hand-drawn carbon–hydrogen–oxygen structures using deep learning

Scientific Reports (2024)

Hengjie Ouyang Wei Liu Jiajun Tao Yanghong Luo Wanjia Zhang

Chemical molecular structures are a direct and convenient means of expressing chemical knowledge, playing a vital role in academic communication. In chemistry, hand drawing is a common task for students and researchers. If we can convert hand-drawn chemical molecular structures into machine-readable formats, like SMILES encoding, computers can efficiently process and analyze these structures, significantly enhancing the efficiency of chemical research. Furthermore, with the progress of educational technology, automated grading is gaining popularity. When machines automatically recognize chemical molecular structures and assess the correctness of the drawings, it offers great convenience to teachers. We created ChemReco, a tool designed to identify chemical molecular structures involving three atoms: C, H, and O, providing convenience for chemical researchers. Currently, there are limited studies on hand-drawn chemical molecular structures. Therefore, the primary focus of this paper is constructing datasets. We propose a synthetic image method to rapidly generate images resembling hand-drawn chemical molecular structures, enhancing dataset acquisition efficiency. Regarding model selection, the hand-drawn chemical molecule structural recognition model developed in this article achieves a final recognition accuracy of 96.90%. This model employs the encoder-decoder architecture of EfficientNet + Transformer, demonstrating superior performance compared to other encoder-decoder combinations.

Carbon fibers

10.1038/s41598-024-67496-7

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Analysis of diagnostic genes and molecular mechanisms of Crohn’s disease and colon cancer based on machine learning algorithms

Scientific Reports (2024)

Jie Xiao Junyao Liang Tao Zhou Man Zhou Dexu Zhang

Nomogram

10.1038/s41598-024-82319-5

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Citations (0)