Jinjin Wang

Zhejiang Chinese Medical University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Yongtao Li

South China Agricultural University

Yulong Zhang

Shenyang Agricultural University

Huijuan Xu

Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

Xingjian Yang

South China Agricultural University

Huayi Chen

Hainan University

Yingeng Wang

Sichuan Research Center of New Materials

Xiaojun Rong

Qingdao National Laboratory for Marine Science and Technology

Xueming Lin

South China Agricultural University

Xin Cheng

Center for Excellence in Molecular Cell Science

Yonglin Liu

Qingdao University of Technology

Cooperative Institutions

South China Agricultural University

104

Chinese Academy of Sciences

Ministry of Agriculture and Rural Affairs

University of Chinese Academy of Sciences

Chinese Academy of Agricultural Sciences

Northwest A&F University

Tianjin University of Science and Technology

Chinese Academy of Fishery Sciences

Shandong Agricultural University

Shanghai Jiao Tong University

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Kinetic release of arsenic after exogenous inputs into two different types of soil

Environmental Science and Pollution Research (2018)

Jinjin Wang Xibai Zeng Hao Zhang Yongtao Li Shizhen Zhao

10.1007/s11356-018-1550-0

Cite

Citations (7)

Sorption, desorption, and transformation of synthetic progestins in soil and sediment systems

Geoderma (2019)

Xingjian Yang Xiong Dai Yulong Zhang Hang Lin Jinjin Wang

Progestin

Dienogest

10.1016/j.geoderma.2019.114141

Cite

Citations (19)

An Automatic Generative Adversarial Network Augmentation Method for Weeds Detection from Grassland in YOLOv5

SSRN Electronic Journal (2022)

Jinjin Wang Xiaopeng Yao Yunpeng Zhao Bao Kha Nguyen

Weeds detection plays a vital role in weeds removal. To obtain a competitive performance weed detection model, extensive annotated data related to weeds is required which is expensive and time– consuming. Furthermore, it is challenging for model training as weeds are always changing. Data augmentation is one of the methods to make variations in training dataset which can be used in this problem. We propose an Automatic Generative Adversarial Network Augmentation method that combines the advantages of Generative Adversarial Network (GAN) and data augmentation to increase the diversity of weeds morphology and improve the model feature extraction ability of different types of weeds. In addition, we combine the GAN model with the interested areas in images to generate weeds images. We also propose a data augmentation method to automatically add new weeds images into the original one and save the new annotations. We collect pictures of three weed species (Bitter Gentian, Hawk’s Beard, Pedunculate) in natural scenes and label them to build a dataset with clear annotations. We test the efficiency of the proposed Automatic Generative Adversarial Network Augmentation (AGA) method in universal deep learning models and compare it with classical data augmentation methods. The experiments show that the proposed AGA method is superior with the shortest training time and highest accuracy both on our weeds dataset and a public crop-weed dataset which shows strong generalization ability.

Generative adversarial network

10.2139/ssrn.4281808

Cite

Citations (0)

Retraction notice to “Enhanced biofiltration coupled with ultrafiltration process in marine recirculating aquaculture system: Fast start-up of nitrification and long-term performance” [Sep. Purif. Technol. 335 (2024) 125795]

Separation and Purification Technology (2024)

Yao Yang Junze Liu Shuai Zhang Jinjin Wang Wenyan Li

Biofilter

Ultrafiltration (renal)

Recirculating aquaculture system

10.1016/j.seppur.2024.126788

Cite

Citations (0)

Pollution Level, Distribution and Health Risk Assessment of Some Potentially Harmful Elements in Road Dust from Steel-Industry City, China

Goldschmidt Abstracts (2020)

Jinjin Wang Ting Li Min He Xin Cheng Huibin Shi

Health Risk Assessment

10.46427/gold2020.2733

Cite

Citations (0)

Tracing Pb and Possible Correlated Cd Contamination in Soils by Using Lead Isotopic Compositions

Journal of Hazardous Materials (2019)

Yi Huang Shipeng Zhang Ying Chen Li Wang Zhijie Long

Topsoil

TRACER

Soil test

Lead smelting

10.1016/j.jhazmat.2019.121528

Cite

Citations (44)

Mechanisms of the enhanced DDT removal from soils by earthworms: Identification of DDT degraders in drilosphere and non-drilosphere matrices

Journal of Hazardous Materials (2020)

Huijuan Xu Jing Bai Wenyan Li J. Colin Murrell Yulong Zhang

Stable-isotope probing

Bioaugmentation

Brevibacterium

10.1016/j.jhazmat.2020.124006

Cite

Citations (32)

The Study on a Parasitic Ciliate Found in Respiratory Trees of Cultured Sea Cucumber <i>Apostichopus Japonicus</i> in China

Wenyue Hao Xiaojun Rong Meijie Liao Бин Ли Yingeng Wang

Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Copy DOI

Apostichopus japonicus

10.2139/ssrn.4680368

Cite

Citations (0)

Is soil dressing a way once and for all in remediation of arsenic contaminated soils? A case study of arsenic re-accumulation in soils remediated by soil dressing in Hunan Province, China

Environmental Science and Pollution Research (2015)

Shiming Su Lingyu Bai Cai-Bing Wei Xiang Gao Tuo Zhang

Soil Quality

Soil test

10.1007/s11356-015-4231-2

Cite

Citations (7)

Research Progress on Reproductive Toxicity and Reversibility of Tripterygium wilfordii Based on Gender Differences

Pharmacognosy Magazine (2025)

Jinjin Wang J De Qin Zhu

Tripterygium wilfordii Hook F. (TwHF), a member of the Celastraceae family and belonging to the genus Tripterygium, is a vine-like shrub. It contains numerous active components, such as Tripterygium glycosides (GTW) and triptolide (TP), widely known for their significant reproductive toxicity. This toxicity is characterized by its detrimental effects on the testes and ovaries, leading to reduced libido, apoptosis of germ and follicle cells, and abnormal secretion of sex hormones. Thus, it is necessary to explore the mechanisms behind TwHF’s reproductive toxicity, which will lead to advancements in detoxification and efficacy enhancement strategies. This article offers a comprehensive overview and analysis of the research conducted on reproductive toxicity and its reversibility induced by TwHF, aiming to provide a reference for its rational use in clinical settings.

Tripterygium wilfordii

Reproductive toxicity

10.1177/09731296251313623

Cite

Citations (0)