Shaolong Wu

2.2k total citations
102 papers, 1.7k citations indexed

About

Shaolong Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Shaolong Wu has authored 102 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Electrical and Electronic Engineering, 46 papers in Biomedical Engineering and 44 papers in Materials Chemistry. Recurrent topics in Shaolong Wu's work include Nanowire Synthesis and Applications (30 papers), Advanced Photocatalysis Techniques (17 papers) and Plasmonic and Surface Plasmon Research (15 papers). Shaolong Wu is often cited by papers focused on Nanowire Synthesis and Applications (30 papers), Advanced Photocatalysis Techniques (17 papers) and Plasmonic and Surface Plasmon Research (15 papers). Shaolong Wu collaborates with scholars based in China, United States and Hong Kong. Shaolong Wu's co-authors include Xiaofeng Li, Cheng Zhang, Guoan Cheng, Liujing Li, Ruiting Zheng, Yaohui Zhan, Zhongyuan Zhou, Liang Li, Aixue Shang and Linling Qin and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and ACS Nano.

In The Last Decade

Shaolong Wu

98 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaolong Wu China 24 862 733 691 498 287 102 1.7k
Churong Ma China 21 677 0.8× 589 0.8× 513 0.7× 317 0.6× 331 1.2× 63 1.3k
Lei Hu China 24 1.4k 1.6× 894 1.2× 243 0.4× 271 0.5× 631 2.2× 154 2.2k
Wipakorn Jevasuwan Japan 21 826 1.0× 917 1.3× 532 0.8× 389 0.8× 180 0.6× 109 1.6k
Ruijin Hong China 24 1.3k 1.5× 1.1k 1.4× 459 0.7× 188 0.4× 614 2.1× 173 2.1k
Xiao Liang China 17 628 0.7× 758 1.0× 256 0.4× 220 0.4× 521 1.8× 44 1.5k
Nathaniel J. Hogan United States 11 656 0.8× 229 0.3× 570 0.8× 867 1.7× 574 2.0× 13 1.6k
Jared K. Day United States 7 338 0.4× 260 0.4× 736 1.1× 710 1.4× 665 2.3× 8 1.7k
Peng Song Singapore 20 1.7k 1.9× 923 1.3× 358 0.5× 346 0.7× 339 1.2× 39 2.1k
Basudev Lahiri India 19 374 0.4× 474 0.6× 690 1.0× 90 0.2× 543 1.9× 74 1.4k
Xiaoyan Li China 23 884 1.0× 442 0.6× 180 0.3× 835 1.7× 218 0.8× 58 1.4k

Countries citing papers authored by Shaolong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shaolong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolong Wu. A scholar is included among the top collaborators of Shaolong Wu 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 Shaolong Wu. Shaolong Wu 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.
Yuan, Chen, Changcheng Li, Can Wang, et al.. (2025). The application of integrated deep learning models with the Assistance of meteorological factors in forecasting major tobacco diseases. Computers and Electronics in Agriculture. 236. 110429–110429. 1 indexed citations
2.
Li, Guoyi, Xuanyu Shan, Shenghong Li, et al.. (2025). All‐Optical Controlled Neuromorphic Vision Sensor for High‐Accuracy Image Recognition. Advanced Functional Materials. 36(14).
3.
Wu, Shaolong, Liujing Li, Linling Qin, & Zhongyuan Zhou. (2024). Construction of p-Si/n-CdS core/shell nanowire heterojunction for photoelectrochemical water splitting. International Journal of Hydrogen Energy. 73. 118–125. 1 indexed citations
4.
Wu, Shaolong, et al.. (2024). UPKD: Unsupervised pylon keypoint detection from 3D LiDAR data for autonomous UAV power inspection. International Journal of Applied Earth Observation and Geoinformation. 133. 104106–104106. 3 indexed citations
5.
Hang, Tianyi, Chenghao Chen, Yijing Chen, et al.. (2024). Anisotropic Coupling‐Based 2D Material Dember Polarized Photodetectors. Advanced Functional Materials. 35(10). 6 indexed citations
6.
Xing, Xiu‐Shuang, Shaolong Wu, Yao Guo, et al.. (2024). Constructing Metal–Organic Framework Films with Adjustable Electronic Properties on Hematite Photoanode for Boosting Photogenerated Carrier Transport. Small. 20(46). e2404438–e2404438. 6 indexed citations
7.
Zhu, Weijian, Yuchen Wu, Meng Wang, et al.. (2024). Nonenzymatic Glucose Detection Realized by Au and CuO Nanoparticle Co-Modified TiO2 Hierarchical Nanotubes Integrated With a Microfluidic Cell. IEEE Sensors Journal. 24(15). 23462–23469. 4 indexed citations
8.
Qin, Linling, Ruoxi Zhang, Weijian Zhu, et al.. (2023). Towards self-driven and enzyme-free sweat glucose photoelectrochemical sensing via decorating CuO nanoparticles on TiO2 hierarchical nanotubes. Surfaces and Interfaces. 40. 103102–103102. 19 indexed citations
9.
Wu, Shaolong, et al.. (2023). Zero-valent iron supported by dendritic mesoporous silica nanoparticles to purify dye wastewater. Journal of environmental chemical engineering. 11(5). 110434–110434. 9 indexed citations
10.
11.
Ma, Lu, et al.. (2023). Unbiased and Signal-Weakening Photoelectrochemical Hexavalent Chromium Sensing via a CuO Film Photocathode. Nanomaterials. 13(9). 1479–1479. 3 indexed citations
12.
Wu, Shaolong, Jiayu Lu, Guoyi Li, et al.. (2023). Self‐Powered Wide‐Narrow Bandgap‐Laminated Perovskite Photodetector with Bipolar Photoresponse for Secure Optical Communication. Advanced Materials. 36(5). e2307534–e2307534. 54 indexed citations
13.
Zhang, Ruoxi, et al.. (2023). Enzyme-free photoelectrochemical sensing of glucose based on the TiO2/CuO heterojunction. 37–37. 2 indexed citations
14.
Chang, Baisong, et al.. (2022). Emerging single-atom iron catalysts for advanced catalytic systems. Nanoscale Horizons. 7(11). 1340–1387. 23 indexed citations
15.
Chang, Baisong, Liqin Zhang, Shaolong Wu, Ziyan Sun, & Zhen Cheng. (2022). Engineering single-atom catalysts toward biomedical applications. Chemical Society Reviews. 51(9). 3688–3734. 95 indexed citations
16.
Chang, Baisong, Hao Zhu, Yifan Wu, et al.. (2021). Aggregation‐Induced Phosphorescent Imaging in the Second Near‐Infrared Window. Advanced Optical Materials. 9(24). 19 indexed citations
17.
Zhou, Zhongyuan, et al.. (2020). Tin and Oxygen-Vacancy Co-doping into Hematite Photoanode for Improved Photoelectrochemical Performances. Nanoscale Research Letters. 15(1). 54–54. 27 indexed citations
18.
Zhao, Yong Sheng, Jin Yu, Jun Zheng, et al.. (2015). Simulation Analysis on Photoelectric Conversion Characteristics of Silicon Nanowire Array Photoelectrodes. Nanoscale Research Letters. 10(1). 985–985. 4 indexed citations
19.
Zhang, Cheng, Xiaofeng Li, Aixue Shang, et al.. (2014). Performance-improved thin-film a-Si:H/μc-Si:H tandem solar cells by two-dimensionally nanopatterning photoactive layer. Nanoscale Research Letters. 9(1). 73–73. 4 indexed citations
20.
Zhao, Fei, Guoan Cheng, Ruiting Zheng, et al.. (2011). Field emission enhancement of Au-Si nano-particle-decorated silicon nanowires. Nanoscale Research Letters. 6(1). 176–176. 25 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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