logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
C

Chongchong Qi

tianjin university

55H指数
210论文数
8.8K被引数
收录论文 129
发表时间
logo
Interpretable machine learning reveals key drivers and optimal conditions for antibiotics degradation in thermally activated persulfate可解释机器学习揭示热活化过硫酸盐中抗生素降解的关键驱动力和最优条件
errSeparation and Purification Technology
IF9
err2026-09-03
err0
PREAI
errHaibin Yu; Jiayi Luo; Tao Hu; Minglu Zhang; Liyuan Chai; Chongchong Qi
err分享
err收藏
Spatiotemporal evolution of global soil heavy metal(loid)s mobility under climate change全球土壤重金属(类金属)在气候变化下的时空迁移演化
errEnvironmental Pollution
IF7.3
err2026-07-24
err0
PREAI
errWenqi Jiao; Jiayi Luo; Mengting Wu; Tao Hu; Chongchong Qi
err分享
err收藏
Fertilization-driven global and regional dynamics of phosphorus patterns under a representative fertilization scenario在代表性施肥情景下，由施肥驱动的磷素全球和区域格局动态
errJournal of Environmental Management
IF8.4
err2026-07-04
err0
PREAI
errChongchong Qi; Pengxin Zhao; Kechao Li; Liyuan Chai
err分享
err收藏
Predicting and interpreting the effects of steel slag amendment on soil acidification across diverse agricultural conditions预测和解释在不同农业条件下钢渣改良对土壤酸化的影响
errJournal of Cleaner Production
IF10
err2026-04-29
err0
PREAI
errPengxin Zhao; Wenqi Jiao; Yuxin Feng; Minglu Zhang; Chongchong Qi
err分享
err收藏
Continental-Scale Mapping of Soil Nickel: Integration of Spectral Preprocessing and Machine Learning Approaches土壤镍的大陆尺度制图: 光谱预处理和机器学习方法的集成
errSustainability
IF3.3
err2026-02-16
err0
errOAAI
errChongchong Qi; Kechao Li; Wenqi Jiao
err分享
err收藏
Machine learning uncovers dominant fractions of heavy metal(loid)s in global soils
errCommunications Earth & Environment
IF8.9
err2026-01-31
err0
errOAAI
errTao Hu; Mengting Wu; Qiusong Chen; Liyuan Chai; Chongchong Qi
err分享
err收藏
Unraveling large-scale spatial patterns and key drivers of heavy metals uptake by plants揭示植物吸收重金属的大规模空间格局及其关键驱动因素
errEcological Indicators
IF7.4
err2026-01-06
err0
errOAAI
errNana Zhou; Tao Hu; Mengting Wu; Chongchong Qi; Liyuan Chai; Zhang Lin
err分享
err收藏
Heavy metal removal efficiency in tailings through washing: Prediction and optimization尾矿洗涤过程中重金属去除效率的预测与优化
errJournal of Cleaner Production
IF10
err2025-12-30
err0
PREAI
errChongchong Qi; Pengxin Zhao; Wenqi Jiao; Mohammad Sadegh Barkhordari; Junqin Liu
err分享
err收藏
Climate-driven transition in microbial deterioration and protection of stone surfaces at cultural heritage sites气候驱动下的微生物对文化遗产地石材表面的劣化和保护转变
errCommunications Earth & Environment
IF8.9
err2025-12-18
err0
errOAAI
errHaiqing Yang; Xingyue Li; Liyuan Chai; Le Wang; Chongchong Qi
err分享
err收藏
Global ecological risk assessment of soil contamination by heavy metal (loid)s based on machine learning基于机器学习的全球土壤重金属污染生态风险评估
errJOURNAL OF ENVIRONMENTAL MANAGEMENT
IF8.4
err2025-12-01
err0
PREAI
errJiao, Wenqi; Wu, Mengting; Hu, Tao; Qi, Chongchong
err分享
err收藏
Rapid assessment of heavy metal leaching in tailings via machine learning通过机器学习对尾矿中重金属浸出进行快速评估
errJournal of Environmental Chemical Engineering
IF7.2
err2025-11-23
err0
PREAI
errChongchong Qi; Yuxin Feng; Wenqi Jiao; Tao Hu
err分享
err收藏
Roadmap on sustainable materials and technologies可持续材料与技术路线图
errChinese Chemical Letters
IF8.9
err2025-11-14
err0
PREAI
errJing Guo; Chunhui Luo; Peng Li; Mao Ye; Zhihua Qiao; Yubo Wu; Huiqin Hu; Xubiao Luo; Liming Yang; Yulin Cai; Pengwei Li; Kai Zhu; Cheng Fu; Bing Yu; Yueying Chen; Shichang Wang; Ting Wang; Chongchong Qi; Zirou Liu; Dongmei Huang
err分享
err收藏
Machine learning model comparison and ensemble for predicting different morphological fractions of heavy metal elements in tailings and mine waste机器学习模型比较与集成在预测尾矿和矿山废料中重金属元素的不同形态分数中的应用
errJournal of Central South University
IF4.4
err2025-11-07
err0
PREAI
errYu-xin Feng; Tao Hu; Na-na Zhou; Min Zhou; Mohammad Sadegh Barkhordari; Ke-chao Li; Chong-chong Qi
err分享
err收藏
Highly efficient extraction of Cr from stainless steel dust by manganese dioxide oxidation and sulfuric acid leaching通过二氧化锰氧化和硫酸浸出高效提取不锈钢粉尘中的Cr
errSeparation and Purification Technology
IF9
err2025-10-12
err0
PREAI
errMenglan Wu; Jun Li; Weizhen Liu; Zhang Lin; Chongchong Qi; Han Wang; Xiaoqin Li
err分享
err收藏
CO2 adsorption behaviour on β-C2S(111) and (100) surfaces: Implications for carbon sequestration in cementitious materialsCO2在β-C2S(111)和(100)表面的吸附行为：对水泥基材料中碳封存的影响
errInternational Journal of Minerals, Metallurgy and Materials
IF0
err2025-09-10
err0
PREAI
errChongchong Qi; Zirou Liu; Dino Spagnoli; Danial Jahed Armaghani; Xinhang Xu
err分享
err收藏
Enhanced prediction of occurrence forms of heavy metals in tailings: A systematic comparison of machine learning methods and model integration尾矿中重金属赋存形态预测的增强：机器学习方法与模型集成的系统性比较
errinternational journal of minerals metallurgy and materials
IF0
err2025-08-28
err0
PREAI
errPengxin Zhao; Kechao Li; Nana Zhou; Qiusong Chen; Min Zhou; Chongchong Qi
err分享
err收藏
Carbon sequestration potential and mechanisms of shotcrete for tunnel support in underground metal mines through cement hydration喷射混凝土通过水泥水化作用在地下金属矿隧道支护中的碳汇潜力与机制
errinternational journal of minerals metallurgy and materials
IF0
err2025-07-08
err0
PREAI
errQiusong Chen; Chao Zhang; Daolin Wang; Yikai Liu; Chongchong Qi
err分享
err收藏
Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales利用多任务深度学习在大尺度上识别多种重金属污染
errAdvanced Intelligent Systems
IF6.1
err2025-07-07
err0
errOAAI
errTao Hu; Qiusong Chen; Fiona H. M. Tang; Sybil Derrible; Liyuan Chai; Zhang Lin; Chongchong Qi
err分享
err收藏
Prediction of zinc, cadmium, and arsenic in european soils using multi-end machine learning models利用多终端机器学习模型预测欧洲土壤中的锌、镉和砷
errJOURNAL OF HAZARDOUS MATERIALS
IF11.3
err2025-06-01
err2
PREAI
errBarkhordari, MS; Qi, CC
err分享
err收藏
Modeling spatiotemporal hotspots and impact of cobalt contamination in European soils模拟欧洲土壤中钴污染的空间热点及其影响
errEnvironmental Technology & Innovation
IF7.1
err2025-06-01
err0
errOAAI
errChongchong Qi; Kechao Li; Tao Hu; Qiusong Chen; Zhang Lin; Liyuan Chai
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
Y
Yong Sik Ok
H 指数: 180 · 论文数: 1.1K
Feng YAN 封面图
Feng YAN (Feng Yan)
H 指数: 121 · 论文数: 1.3K
D
Dieu Tien Bui
H 指数: 112 · 论文数: 300
Ö
Özgür Kişi
H 指数: 106 · 论文数: 692
V
Vijay P. Singh
H 指数: 103 · 论文数: 1.1K
查看更多