OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Estimation of the distribution patterns of heavy metal in soil from airborne hyperspectral imagery based on spectral absorption characteristics
Kun Tan, Li-Han Chen, Huimin Wang, et al.
Journal of Environmental Management (2023) Vol. 347, pp. 119196-119196
Closed Access | Times Cited: 15

Showing 15 citing articles:

Inversion of heavy metal content in soil using hyperspectral characteristic bands-based machine learning method
Zhiyong Zou, Qianlong Wang, Qingsong Wu, et al.
Journal of Environmental Management (2024) Vol. 355, pp. 120503-120503
Closed Access | Times Cited: 11

A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery
Xuqing Li, Huitao Gu, Ruiyin Tang, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 676-676
Open Access | Times Cited: 1

Relationships between high-concentration toxic metals in sediment and evolution of microbial community structure and carbon–nitrogen metabolism functions under long-term stress perspective
Tao Song, Weiguo Tu, Shu Chen, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 20, pp. 29763-29776
Closed Access | Times Cited: 5

A convolutional block multi-attentive fusion network for underground natural gas micro-leakage detection of hyperspectral and thermal data
Kangning Li, Kangni Xiong, Jinbao Jiang, et al.
Energy (2025), pp. 134870-134870
Closed Access

Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning
Z. G. Zhao, Yuman Sun, Weiwei Jia, et al.
Remote Sensing (2025) Vol. 17, Iss. 7, pp. 1164-1164
Open Access

基于高光谱数据的碳酸盐岩岩性识别决策树模型研究
黄宇 Huang Yu, Yanlin Shao, Wei Wei, et al.
Laser & Optoelectronics Progress (2025) Vol. 62, Iss. 8, pp. 0837007-0837007
Closed Access

Quantitative prediction of soil chromium content using laboratory-based visible and near-infrared spectroscopy with different ensemble learning models
Chengbiao Fu, Yuheng Jiang, Anhong Tian
Advances in Space Research (2024) Vol. 74, Iss. 10, pp. 4705-4720
Closed Access | Times Cited: 3

A hierarchical residual correction-based hyperspectral inversion method for soil heavy metals considering spatial heterogeneity
Yulong Wang, Bin Zou, Sha Li, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135699-135699
Closed Access | Times Cited: 3

Predicting increments in heavy metal contamination in farmland soil
Jieh‐Haur Chen, Meng-Fen Yeh, Jui-Pin Wang, et al.
Environment Development and Sustainability (2024)
Closed Access | Times Cited: 1

Estimation of the dolomite content of carbonate rock outcrops based on spectral knowledge and machine learning
Wei Wei, Yanlin Shao, Zhonggui Hu, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access

Recognizing and reducing effects of moisture-salt coexistence on soil organic matter spectral prediction:From laboratory to satellite
Danyang Wang, Yayi Tan, Cheng Li, et al.
Soil and Tillage Research (2024) Vol. 248, pp. 106397-106397
Closed Access

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