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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:

Application of deep learning in ecological resource research: Theories, methods, and challenges
Qinghua Guo, Shichao Jin, Min Li, et al.
Science China Earth Sciences (2020) Vol. 63, Iss. 10, pp. 1457-1474
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Deep learning as a tool for ecology and evolution
Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 8, pp. 1640-1660
Open Access | Times Cited: 164
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Shichao Jin, Xiliang Sun, Fangfang Wu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 171, pp. 202-223
Closed Access | Times Cited: 154
PlantNet: A dual-function point cloud segmentation network for multiple plant species
Dawei Li, Guoliang Shi, Jinsheng Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 184, pp. 243-263
Closed Access | Times Cited: 84
Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective
Qinghua Guo, Yanjun Su, Tianyu Hu, et al.
IEEE Geoscience and Remote Sensing Magazine (2020) Vol. 9, Iss. 1, pp. 232-257
Open Access | Times Cited: 113
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
Dante Trabassi, Mariano Serrao, Tiwana Varrecchia, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3700-3700
Open Access | Times Cited: 69
Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Haiyu Tao, Shan Xu, Yongchao Tian, et al.
Plant Communications (2022) Vol. 3, Iss. 6, pp. 100344-100344
Open Access | Times Cited: 63
Simultaneous Prediction of Wheat Yield and Grain Protein Content Using Multitask Deep Learning from Time-Series Proximal Sensing
Zhuangzhuang Sun, Qing Li, Shichao Jin, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 56
Loess Landslide Detection Using Object Detection Algorithms in Northwest China
Yuanzhen Ju, Qiang Xu, Shichao Jin, et al.
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1182-1182
Open Access | Times Cited: 52
Long-term prediction of sea surface chlorophyll-a concentration based on the combination of spatio-temporal features
Liu Na, Shaoyang Chen, Cheng Zhenyan, et al.
Water Research (2022) Vol. 211, pp. 118040-118040
Closed Access | Times Cited: 48
A predictive timeline of wildlife population collapse
Francesco Cerini, Dylan Z. Childs, Christopher F. Clements
Nature Ecology & Evolution (2023) Vol. 7, Iss. 3, pp. 320-331
Closed Access | Times Cited: 43
Deep learning methods utilization in electric power systems
Saima Akhtar, Muhammad Adeel, Muhammad Iqbal, et al.
Energy Reports (2023) Vol. 10, pp. 2138-2151
Open Access | Times Cited: 35
Forest fuel type classification: Review of remote sensing techniques, constraints and future trends
Abolfazl Abdollahi, Marta Yebra
Journal of Environmental Management (2023) Vol. 342, pp. 118315-118315
Open Access | Times Cited: 24
PhenoNet: A two-stage lightweight deep learning framework for real-time wheat phenophase classification
Ruinan Zhang, Shichao Jin, Yuanhao Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 208, pp. 136-157
Closed Access | Times Cited: 12
Stem–Leaf segmentation and phenotypic trait extraction of individual plant using a precise and efficient point cloud segmentation network
Jing‐Kun Yan, Fei Tan, Chengkai Li, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108839-108839
Open Access | Times Cited: 10
U-Net Convolutional Networks for Mining Land Cover Classification Based on High-Resolution UAV Imagery
Tuan Linh Giang, Kinh Bac Dang, Quang Toan Le, et al.
IEEE Access (2020) Vol. 8, pp. 186257-186273
Open Access | Times Cited: 69
Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam
Kinh Bac Dang, Manh Ha Nguyen, Đức Anh Nguyễn, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3270-3270
Open Access | Times Cited: 65
S-wave velocity inversion and prediction using a deep hybrid neural network
Jun Wang, Junxing Cao, Shuang Zhao, et al.
Science China Earth Sciences (2022) Vol. 65, Iss. 4, pp. 724-741
Closed Access | Times Cited: 33
PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage
Ruiming Du, Zhihong Ma, Pengyao Xie, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 380-392
Open Access | Times Cited: 33
Applying Deep Learning in the Prediction of Chlorophyll-a in the East China Sea
Haobin Cen, Jiahan Jiang, Guoqing Han, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5461-5461
Open Access | Times Cited: 29
Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems
Huanfeng Shen, Liangpei Zhang
Science China Earth Sciences (2023) Vol. 66, Iss. 3, pp. 568-582
Open Access | Times Cited: 22
Data-driven models for predicting community changes in freshwater ecosystems: A review
Da‐Yeong Lee, Dae‐Seong Lee, YoonKyung Cha, et al.
Ecological Informatics (2023) Vol. 77, pp. 102163-102163
Closed Access | Times Cited: 19
A new deep learning approach based on bilateral semantic segmentation models for sustainable estuarine wetland ecosystem management
Hanh Nguyen Pham, Kinh Bac Dang, Thanh Vinh Nguyen, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 155826-155826
Closed Access | Times Cited: 26
Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing
Qing Li, Shichao Jin, Jingrong Zang, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1334-1345
Open Access | Times Cited: 26
Bird Image Classification using Convolutional Neural Network Transfer Learning Architectures
Asmita Manna, Nilam Upasani, Shubham Jadhav, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 15
Mountain Vegetation Classification Method Based on Multi-Channel Semantic Segmentation Model
Wang Baoguo, Yonghui Yao
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 256-256
Open Access | Times Cited: 6
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