Junde Chen

4.3k total citations · 4 hit papers
74 papers, 3.0k citations indexed

About

Junde Chen is a scholar working on Plant Science, Artificial Intelligence and Animal Science and Zoology. According to data from OpenAlex, Junde Chen has authored 74 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 13 papers in Artificial Intelligence and 8 papers in Animal Science and Zoology. Recurrent topics in Junde Chen's work include Smart Agriculture and AI (17 papers), Plant Disease Management Techniques (11 papers) and Collagen: Extraction and Characterization (8 papers). Junde Chen is often cited by papers focused on Smart Agriculture and AI (17 papers), Plant Disease Management Techniques (11 papers) and Collagen: Extraction and Characterization (8 papers). Junde Chen collaborates with scholars based in China, United States and Iran. Junde Chen's co-authors include Defu Zhang, Yaser A. Nanehkaran, Adnan Zeb, Yuandong Sun, Jinxiu Chen, Weirong Chen, Mohammad Azarafza, Reza Derakhshani, Shuangyuan Yang and Ahmed Cemiloglu and has published in prestigious journals such as Scientific Reports, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Junde Chen

71 papers receiving 2.8k citations

Hit Papers

Using deep transfer learning for image-based plant diseas... 2020 2026 2022 2024 2020 2021 2023 2023 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junde Chen China 30 1.6k 659 318 257 242 74 3.0k
Xin Zhang China 32 1.6k 1.0× 377 0.6× 354 1.1× 189 0.7× 335 1.4× 182 3.8k
Amin Taheri‐Garavand Iran 24 556 0.4× 420 0.6× 182 0.6× 81 0.3× 115 0.5× 52 1.8k
Dongyan Zhang China 34 1.8k 1.1× 1.2k 1.8× 203 0.6× 69 0.3× 1.1k 4.4× 206 3.3k
Xiaochan Wang China 24 920 0.6× 310 0.5× 287 0.9× 84 0.3× 195 0.8× 166 2.4k
Jianfeng Zhou China 30 1.3k 0.8× 163 0.2× 267 0.8× 74 0.3× 765 3.2× 156 2.8k
Hailin Feng China 26 293 0.2× 101 0.2× 160 0.5× 205 0.8× 165 0.7× 143 2.1k
Yu Tang China 32 965 0.6× 408 0.6× 166 0.5× 199 0.8× 214 0.9× 183 3.5k
Jihua Wang China 22 495 0.3× 176 0.3× 418 1.3× 75 0.3× 510 2.1× 168 2.5k
Minzan Li China 33 1.9k 1.2× 1.2k 1.8× 79 0.2× 224 0.9× 1.4k 5.8× 236 3.4k

Countries citing papers authored by Junde Chen

Since Specialization
Citations

This map shows the geographic impact of Junde Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junde Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junde Chen more than expected).

Fields of papers citing papers by Junde Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Junde Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junde Chen. The network helps show where Junde Chen may publish in the future.

Co-authorship network of co-authors of Junde Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Junde Chen. A scholar is included among the top collaborators of Junde Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junde Chen. Junde Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Defu, et al.. (2025). Advanced deep learning model for crop-specific and cross-crop pest identification. Expert Systems with Applications. 274. 126896–126896. 4 indexed citations
2.
Zeb, Adnan, Jianying Zheng, Junde Chen, et al.. (2025). Traffic forecasting with meta attentive graph convolutional recurrent network. Expert Systems with Applications. 287. 128073–128073. 1 indexed citations
3.
Chen, Junde, Qing Li, Feng Liu, & Yuxin Wen. (2024). M3T-LM: A multi-modal multi-task learning model for jointly predicting patient length of stay and mortality. Computers in Biology and Medicine. 183. 109237–109237. 1 indexed citations
4.
Mao, Yimin, et al.. (2024). Adaptive modeling of landslide susceptibility using Analytical Hierarchy Process and Multi-Objective Decision Optimization. Advances in Space Research. 75(6). 4536–4551. 4 indexed citations
5.
Chen, Junde, et al.. (2024). Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition. Expert Systems with Applications. 259. 125321–125321. 16 indexed citations
6.
Chen, Junde, et al.. (2024). FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction. IEEE Sensors Journal. 24(19). 30736–30748. 2 indexed citations
7.
Zeb, Adnan, et al.. (2024). CoPE: Composition-based Poincaré embeddings for link prediction in knowledge graphs. Information Sciences. 662. 120197–120197. 2 indexed citations
8.
Chen, Junde, Yuxin Wen, Tzu-Liang Tseng, et al.. (2024). Multi-modal learning for inpatient length of stay prediction. Computers in Biology and Medicine. 171. 108121–108121. 9 indexed citations
9.
Chen, Junde, et al.. (2024). Research on Interpolation Method for Missing Electricity Consumption Data. Computers, materials & continua/Computers, materials & continua (Print). 78(2). 2575–2591. 3 indexed citations
10.
Chen, Junde, et al.. (2023). Data-driven intelligent method for detection of electricity theft. International Journal of Electrical Power & Energy Systems. 148. 108948–108948. 18 indexed citations
11.
Nanehkaran, Yaser A., Biyun Chen, Ahmed Cemiloglu, et al.. (2023). Riverside Landslide Susceptibility Overview: Leveraging Artificial Neural Networks and Machine Learning in Accordance with the United Nations (UN) Sustainable Development Goals. Water. 15(15). 2707–2707. 117 indexed citations breakdown →
12.
Nanehkaran, Yaser A., et al.. (2023). Comparative Analysis for Slope Stability by Using Machine Learning Methods. Applied Sciences. 13(3). 1555–1555. 76 indexed citations breakdown →
13.
Chen, Junde, et al.. (2023). A deep learning approach for inpatient length of stay and mortality prediction. Journal of Biomedical Informatics. 147. 104526–104526. 6 indexed citations
14.
Zeb, Adnan, et al.. (2022). Complex graph convolutional network for link prediction in knowledge graphs. Expert Systems with Applications. 200. 116796–116796. 41 indexed citations
15.
Nanehkaran, Yaser A., et al.. (2022). Anomaly Detection in Heart Disease Using a Density‐Based Unsupervised Approach. Wireless Communications and Mobile Computing. 2022(1). 18 indexed citations
16.
Nanehkaran, Yaser A., Li-Cai Zhu, Junde Chen, Mohammad Azarafza, & Yimin Mao. (2022). Application of artificial neural networks and geographic information system to provide hazard susceptibility maps for rockfall failures. Environmental Earth Sciences. 81(19). 45 indexed citations
17.
Chen, Junde, Jinxiu Chen, Defu Zhang, Yaser A. Nanehkaran, & Yuandong Sun. (2021). A cognitive vision method for the detection of plant disease images. Machine Vision and Applications. 32(1). 42 indexed citations
18.
Chen, Junde, et al.. (2020). Identification of plant disease images via a squeeze‐and‐excitation MobileNet model and twice transfer learning. IET Image Processing. 15(5). 1115–1127. 78 indexed citations
19.
He, Jianlin, Bihong Hong, Mianli Bian, et al.. (2019). Docosahexaenoic acid inhibits hepatic stellate cell activation to attenuate liver fibrosis in a PPARγ-dependent manner. International Immunopharmacology. 75. 105816–105816. 18 indexed citations
20.
Yang, Xiaoqing, et al.. (2015). On the optimal control problem for the Novikov equation with strong viscosity. Journal of Mathematical Analysis and Applications. 433(2). 1084–1109. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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