Zhiling Guo

1.7k total citations
41 papers, 1.1k citations indexed

About

Zhiling Guo is a scholar working on Media Technology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhiling Guo has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Media Technology, 11 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhiling Guo's work include Remote-Sensing Image Classification (10 papers), Automated Road and Building Extraction (9 papers) and Solar Radiation and Photovoltaics (9 papers). Zhiling Guo is often cited by papers focused on Remote-Sensing Image Classification (10 papers), Automated Road and Building Extraction (9 papers) and Solar Radiation and Photovoltaics (9 papers). Zhiling Guo collaborates with scholars based in Japan, China and Hong Kong. Zhiling Guo's co-authors include Haoran Zhang, Ryosuke Shibasaki, Guangming Wu, Xiaowei Shao, Yongwei Xu, Xiaodan Shi, Zhengguang Liu, Qi Chen, Wei Yuan and Jinyue Yan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Zhiling Guo

39 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhiling Guo Japan	19	321	295	267	259	244	41	1.1k
Rui Cao China	16	178 0.6×	118 0.4×	193 0.7×	130 0.5×	86 0.4×	80	1.4k
Luliang Tang China	22	197 0.6×	269 0.9×	208 0.8×	354 1.4×	89 0.4×	84	1.4k
Muhammad Yasir China	21	119 0.4×	126 0.4×	246 0.9×	240 0.9×	80 0.3×	78	1.5k
Meysam Majidi Nezhad Italy	24	83 0.3×	224 0.8×	46 0.2×	180 0.7×	258 1.1×	51	1.6k
Thomas Esch Germany	12	432 1.3×	201 0.7×	214 0.8×	95 0.4×	99 0.4×	34	1.2k
Fei Lei China	24	107 0.3×	244 0.8×	466 1.7×	95 0.4×	125 0.5×	102	2.1k
Ashwani Kumar Aggarwal India	20	102 0.3×	110 0.4×	290 1.1×	29 0.1×	251 1.0×	47	1.2k
Niko Lukač Slovenia	16	39 0.1×	443 1.5×	112 0.4×	65 0.3×	360 1.5×	66	954
Ling Peng China	17	96 0.3×	1.1k 3.6×	113 0.4×	89 0.3×	120 0.5×	48	1.8k

Countries citing papers authored by Zhiling Guo

Since Specialization

Citations

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

Fields of papers citing papers by Zhiling Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiling Guo

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

All Works

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20 of 20 papers shown

Yu, Qing, et al.. (2025). PDAGCN: Attention-Enhanced Dual Graph Network With Progressive Dilated Convolutions for High-Precision Urban Road Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 27872–27885.

Xu, Xin, et al.. (2025). A cross-dataset benchmark for neural network-based wind power forecasting. Renewable Energy. 254. 123463–123463. 5 indexed citations

Guo, Zhiling, et al.. (2025). Data-driven prediction of fine-grained facade solar irradiance for urban PV potential assessment. Applied Energy. 403. 127009–127009.

Xu, Jian, Zhiling Guo, Qing Yu, et al.. (2025). Spatiotemporal feature encoded deep learning method for rooftop PV potential assessment. Applied Energy. 394. 126171–126171. 2 indexed citations

Li, Peiran, Haoran Zhang, Wenjing Li, et al.. (2025). GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation. Computers Environment and Urban Systems. 119. 102252–102252. 5 indexed citations

Guo, Zhiling, et al.. (2025). Advancing building facade solar potential assessment through AIoT, GIS, and meteorology synergy. Advances in Applied Energy. 17. 100212–100212. 8 indexed citations

Zhang, Zhengjia, Qi Chen, Zhiling Guo, et al.. (2025). Integrating remote sensing, GIS, and multi-criteria decision making for assessing PV potential in mountainous regions. Renewable Energy. 241. 122340–122340. 8 indexed citations

Ren, Jun, et al.. (2024). Prediction of YY1 loop anchor based on multi-omics features. Methods. 232. 96–106. 1 indexed citations

Li, Yinan, et al.. (2024). Powering base stations with green methanol derived from distributed renewable energy. International Journal of Hydrogen Energy. 99. 504–516. 1 indexed citations

10.

Chen, Qi, Xinyuan Li, Zhengjia Zhang, et al.. (2023). Remote sensing of photovoltaic scenarios: Techniques, applications and future directions. Applied Energy. 333. 120579–120579. 60 indexed citations

11.

Guo, Zhiling, Qi Chen, Zhengguang Liu, et al.. (2023). TransPV: Refining photovoltaic panel detection accuracy through a vision transformer-based deep learning model. Applied Energy. 355. 122282–122282. 37 indexed citations

12.

Liu, Zhengguang, Wenè Wang, Yahong Chen, et al.. (2023). Solar harvest: Enhancing carbon sequestration and energy efficiency in solar greenhouses with PVT and GSHP systems. Renewable Energy. 211. 112–125. 38 indexed citations

13.

Song, Chenchen, Zhiling Guo, Zhengguang Liu, et al.. (2023). Application of photovoltaics on different types of land in China: Opportunities, status and challenges. Renewable and Sustainable Energy Reviews. 191. 114146–114146. 54 indexed citations

14.

Guo, Zhiling, Hongjun Tan, Zhengguang Liu, et al.. (2023). Accurate and generalizable photovoltaic panel segmentation using deep learning for imbalanced datasets. Renewable Energy. 219. 119471–119471. 29 indexed citations

15.

Tsuyuki, Satoshi, et al.. (2023). Improving Land Use and Land Cover Information of Wunbaik Mangrove Area in Myanmar Using U-Net Model with Multisource Remote Sensing Datasets. Remote Sensing. 16(1). 76–76. 11 indexed citations

16.

Chen, Jundong, et al.. (2023). UAV-based seagrass wrack orthophotos classification for estimating blue carbon. Estuarine Coastal and Shelf Science. 293. 108476–108476. 5 indexed citations

17.

Shang, Wen‐Long, Nicolò Daina, Haoran Zhang, et al.. (2022). Benchmark Analysis for Robustness of Multi-Scale Urban Road Networks Under Global Disruptions. IEEE Transactions on Intelligent Transportation Systems. 24(12). 15344–15354. 44 indexed citations

18.

Liu, Zhengguang, Zhiling Guo, Qi Chen, et al.. (2022). A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives. Energy. 263. 126082–126082. 63 indexed citations

19.

Shi, Xiaodan, Xiaowei Shao, Guangming Wu, et al.. (2021). Social-DPF: Socially Acceptable Distribution Prediction of Futures. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 2550–2557. 6 indexed citations

20.

Wu, Guangming, et al.. (2018). High Precision Building Detection from Aerial Imagery Using a U-Net Like Convolutional Architecture. SHILAP Revista de lepidopterología. 6 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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