Wenlong Song

1.3k total citations
49 papers, 1.1k citations indexed

About

Wenlong Song is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Wenlong Song has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Electrical and Electronic Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Wenlong Song's work include Advanced Image and Video Retrieval Techniques (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Wenlong Song is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Remote-Sensing Image Classification (6 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). Wenlong Song collaborates with scholars based in China, Mexico and Pakistan. Wenlong Song's co-authors include Heming Jia, Chunbo Lang, Xiaoxu Peng, Diego Oliva, Zhikai Xing, Zhidong Lin, Jun Ma, Hanmin Yang, Kangjian Sun and Bo Peng and has published in prestigious journals such as Journal of The Electrochemical Society, Chemical Physics Letters and Nano Energy.

In The Last Decade

Wenlong Song

46 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenlong Song China 17 299 270 210 159 122 49 1.1k
Gerardo G. Acosta Argentina 23 248 0.8× 312 1.2× 266 1.3× 184 1.2× 153 1.3× 104 1.7k
Fang Li China 17 139 0.5× 209 0.8× 211 1.0× 204 1.3× 311 2.5× 94 1.1k
Xiaoyong Liu China 17 97 0.3× 376 1.4× 156 0.7× 301 1.9× 152 1.2× 80 1.2k
Qingyang Xu China 20 245 0.8× 343 1.3× 401 1.9× 122 0.8× 81 0.7× 116 1.4k
Zhonghua Li China 17 87 0.3× 179 0.7× 116 0.6× 353 2.2× 75 0.6× 91 1.0k
Yiting Li China 14 130 0.4× 149 0.6× 361 1.7× 48 0.3× 116 1.0× 29 966
Tao Wu China 16 97 0.3× 268 1.0× 262 1.2× 92 0.6× 51 0.4× 84 936
Zhan Li China 25 368 1.2× 130 0.5× 283 1.3× 448 2.8× 95 0.8× 94 1.7k
Zhengtian Wu China 17 129 0.4× 176 0.7× 206 1.0× 78 0.5× 132 1.1× 98 1.0k
Zhen Yang China 22 467 1.6× 116 0.4× 330 1.6× 76 0.5× 460 3.8× 161 1.6k

Countries citing papers authored by Wenlong Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenlong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenlong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wenlong Song. A scholar is included among the top collaborators of Wenlong Song 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 Wenlong Song. Wenlong Song 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.
Lü, Yang, Ting Yang, Jianyu Fu, & Wenlong Song. (2025). Utility of the standardized precipitation evapotranspiration index (SPEI) to detect agricultural droughts over China. Journal of Hydrology Regional Studies. 58. 102190–102190. 4 indexed citations
2.
Song, Wenlong, et al.. (2025). Digital Elevation Model-Driven River Channel Boundary Monitoring Using the Natural Breaks (Jenks) Method. Remote Sensing. 17(6). 1092–1092. 7 indexed citations
4.
Abbas, Haider, et al.. (2024). Validation of CRU TS v4.08, ERA5-Land, IMERG v07B, and MSWEP v2.8 Precipitation Estimates Against Observed Values over Pakistan. Remote Sensing. 16(24). 4803–4803. 7 indexed citations
5.
Luo, Wen, Fei Ru, Dandan Yu, et al.. (2023). Two-dimensional monoelement nanosheets produced from bulk crystals for potassium-ion storage. Chemical Physics Letters. 830. 140824–140824. 5 indexed citations
6.
Yang, Liu, Chunhui Li, Wenlong Song, & Zhan Li. (2023). Innovation-Superposed Simultaneous Localization and Mapping of Mobile Robots Based on Limited Augmentation. Electronics. 12(3). 587–587. 2 indexed citations
7.
Yang, Chunmei, et al.. (2023). Study of the Movement of Chips during Pine Wood Milling. Forests. 14(4). 849–849. 3 indexed citations
8.
Song, Wenlong, et al.. (2023). Rice Variety Classification Based on Optimized Near-Infrared Spectral Classification Model. Rice Science. 31(1). 6–9.
9.
Song, Jiayin, et al.. (2022). Imaging of Insect Hole in Living Tree Trunk Based on Joint Driven Algorithm of Electromagnetic Inverse Scattering. Sensors. 22(24). 9840–9840. 1 indexed citations
10.
Xiao, Yue, et al.. (2022). Generalized Approximate Message Passing Detector for GSM-OTFS Systems. IEEE Access. 10. 22997–23007. 5 indexed citations
11.
Gan, Yongping, et al.. (2021). Highly Efficient Synthesis of Silicon Nanowires from Molten Salt Electrolysis Cell with a Ceramic Diaphragm. Journal of Electronic Materials. 50(9). 5021–5028. 4 indexed citations
12.
Sun, Zhuangzhi, et al.. (2020). Natural Cellulose-Full-Hydrogels Bioinspired Electroactive Artificial Muscles: Highly Conductive Ionic Transportation Channels and Ultrafast Electromechanical Response. Journal of The Electrochemical Society. 167(4). 47515–47515. 24 indexed citations
13.
Li, Kexin, et al.. (2020). A New Method for Forest Canopy Hemispherical Photography Segmentation Based on Deep Learning. Forests. 11(12). 1366–1366. 10 indexed citations
14.
Hu, Junfeng, et al.. (2019). Deep learning for use in lumber classification tasks. Wood Science and Technology. 53(2). 505–517. 52 indexed citations
15.
Jia, Heming, Chunbo Lang, Diego Oliva, Wenlong Song, & Xiaoxu Peng. (2019). Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image Segmentation. Remote Sensing. 11(12). 1421–1421. 167 indexed citations
16.
Dai, Li, Weihong Gu, Bo Peng, et al.. (2018). Generalized inverse matrix-exterior penalty function (GIM-EPF) algorithm for data processing of multi-wavelength pyrometer (MWP). Optics Express. 26(20). 25706–25706. 38 indexed citations
17.
Xing, Jian, Bo Peng, Zhao Ma, et al.. (2017). Directly data processing algorithm for multi-wavelength pyrometer (MWP). Optics Express. 25(24). 30560–30560. 50 indexed citations
18.
Sun, Zhuangzhi, et al.. (2016). An enhancement for actuation properties of biocompatible electro‐active paper. Polymer Composites. 39(S1). 4 indexed citations
19.
Song, Wenlong, et al.. (2016). Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography. Frontiers of Information Technology & Electronic Engineering. 17(8). 741–749. 1 indexed citations
20.
Lin, Zhidong, et al.. (2013). Abnormal photoelectrical properties and gas sensing of mesoporous Sn0.9Ti0.1O2 film under UV light. Materials Letters. 102-103. 47–49. 9 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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