Panle Li

476 total citations
17 papers, 320 citations indexed

About

Panle Li is a scholar working on Ocean Engineering, Media Technology and Environmental Engineering. According to data from OpenAlex, Panle Li has authored 17 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ocean Engineering, 7 papers in Media Technology and 6 papers in Environmental Engineering. Recurrent topics in Panle Li's work include Automated Road and Building Extraction (7 papers), Remote-Sensing Image Classification (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Panle Li is often cited by papers focused on Automated Road and Building Extraction (7 papers), Remote-Sensing Image Classification (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Panle Li collaborates with scholars based in China. Panle Li's co-authors include Xijie Cheng, Mengjia Qiao, Xiaohui He, Zhihui Tian, Haotian Luo, Hengliang Guo, Guangsheng Zhou, Peng Chang, Jinyong Wang and Chang Peng and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Panle Li

15 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Panle Li China	10	116	111	86	81	55	17	320
Xijie Cheng China	10	115 1.0×	111 1.0×	86 1.0×	81 1.0×	53 1.0×	16	312
Mengjia Qiao China	9	115 1.0×	111 1.0×	84 1.0×	82 1.0×	50 0.9×	17	310
Bipul Neupane Australia	6	106 0.9×	75 0.7×	146 1.7×	105 1.3×	108 2.0×	16	398
Weirong Chen China	11	68 0.6×	191 1.7×	48 0.6×	86 1.1×	69 1.3×	17	470
Rebeca dos Santos de Moura Brazil	5	116 1.0×	85 0.8×	46 0.5×	70 0.9×	27 0.5×	8	273
Pedro Henrique Guimarães Ferreira Brazil	5	117 1.0×	86 0.8×	43 0.5×	68 0.8×	29 0.5×	6	308
Vivien Sainte Fare Garnot Switzerland	8	193 1.7×	86 0.8×	142 1.7×	76 0.9×	68 1.2×	19	393
Iván Lizarazo Colombia	10	130 1.1×	80 0.7×	100 1.2×	61 0.8×	28 0.5×	31	328
Jorge Antônio Silva Centeno Brazil	8	59 0.5×	51 0.5×	57 0.7×	138 1.7×	88 1.6×	73	346
Yannik Rist Australia	7	128 1.1×	70 0.6×	73 0.8×	108 1.3×	33 0.6×	8	293

Countries citing papers authored by Panle Li

Since Specialization

Citations

This map shows the geographic impact of Panle Li'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 Panle Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panle Li more than expected).

Fields of papers citing papers by Panle Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Panle Li. 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 Panle Li. The network helps show where Panle Li may publish in the future.

Co-authorship network of co-authors of Panle Li

This figure shows the co-authorship network connecting the top 25 collaborators of Panle Li. A scholar is included among the top collaborators of Panle Li 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 Panle Li. Panle Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Kong, Jun, Mengjia Qiao, Xijie Cheng, et al.. (2025). Adaptive sparse lightweight multi-scale hybrid network for remote sensing image semantic segmentation. Expert Systems with Applications. 280. 127347–127347. 5 indexed citations

He, Xiaohui, Mengjia Qiao, Jun Kong, et al.. (2025). Winter wheat mapping using unbalanced multi-source remote sensing data. International Journal of Digital Earth. 18(1).

He, Xiaohui, Panle Li, Xijie Cheng, et al.. (2025). NPP estimation by fusing geodetector and deep spatio-temporal networks. International Journal of Digital Earth. 18(1).

Chang, Jing, Xiaohui He, Panle Li, et al.. (2024). Multi-Scale Attention Network for Building Extraction from High-Resolution Remote Sensing Images. Sensors. 24(3). 1010–1010. 5 indexed citations

Tian, Zhihui, et al.. (2023). MSCANet: multiscale context information aggregation network for Tibetan Plateau lake extraction from remote sensing images. International Journal of Digital Earth. 16(1). 1–30. 9 indexed citations

Cheng, Xijie, Xiaohui He, Mengjia Qiao, et al.. (2022). Multi-View Graph Convolutional Network With Spectral Component Decompose for Remote Sensing Images Classification. IEEE Transactions on Circuits and Systems for Video Technology. 35(1). 3–18. 22 indexed citations

Li, Panle, et al.. (2022). An improved categorical cross entropy for remote sensing image classification based on noisy labels. Expert Systems with Applications. 205. 117296–117296. 18 indexed citations

Qiao, Mengjia, et al.. (2022). KSTAGE: A knowledge-guided spatial-temporal attention graph learning network for crop yield prediction. Information Sciences. 619. 19–37. 34 indexed citations

Cheng, Xijie, Xiaohui He, Mengjia Qiao, et al.. (2022). Enhanced contextual representation with deep neural networks for land cover classification based on remote sensing images. International Journal of Applied Earth Observation and Geoinformation. 107. 102706–102706. 23 indexed citations

10.

Li, Panle, Zhihui Tian, Xiaohui He, et al.. (2021). LR‐RoadNet: A long‐range context‐aware neural network for road extraction via high‐resolution remote sensing images. IET Image Processing. 15(13). 3239–3253. 5 indexed citations

11.

Qiao, Mengjia, Xiaohui He, Xijie Cheng, et al.. (2021). Exploiting Hierarchical Features for Crop Yield Prediction Based on 3-D Convolutional Neural Networks and Multikernel Gaussian Process. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 4476–4489. 38 indexed citations

12.

Li, Panle, et al.. (2021). Exploring Label Probability Sequence to Robustly Learn Deep Convolutional Neural Networks for Road Extraction With Noisy Datasets. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 9 indexed citations

13.

Li, Panle, et al.. (2021). Exploring multiple crowdsourced data to learn deep convolutional neural networks for road extraction. International Journal of Applied Earth Observation and Geoinformation. 104. 102544–102544. 18 indexed citations

14.

Qiao, Mengjia, Xiaohui He, Xijie Cheng, et al.. (2021). Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks. International Journal of Applied Earth Observation and Geoinformation. 102. 102436–102436. 94 indexed citations

15.

Li, Panle, Xiaohui He, Mengjia Qiao, et al.. (2020). Robust Deep Neural Networks for Road Extraction From Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 59(7). 6182–6197. 24 indexed citations

16.

Li, Panle, et al.. (2019). Arrhythmia Multiple Categories Recognition based on PCA-KNN Clustering Model. 1–3. 8 indexed citations

17.

Li, Panle, et al.. (2019). Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset. IEEE Access. 7. 122784–122795. 8 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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