Shaojie Wang

1.0k total citations
82 papers, 784 citations indexed

About

Shaojie Wang is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Shaojie Wang has authored 82 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Renewable Energy, Sustainability and the Environment, 19 papers in Electrical and Electronic Engineering and 18 papers in Mechanical Engineering. Recurrent topics in Shaojie Wang's work include Muon and positron interactions and applications (13 papers), Advanced Photocatalysis Techniques (11 papers) and Hydraulic and Pneumatic Systems (6 papers). Shaojie Wang is often cited by papers focused on Muon and positron interactions and applications (13 papers), Advanced Photocatalysis Techniques (11 papers) and Hydraulic and Pneumatic Systems (6 papers). Shaojie Wang collaborates with scholars based in China, United States and Australia. Shaojie Wang's co-authors include Pengfei Fang, Liang Hou, Zhi Liu, Feitai Chen, Yuanpeng Gao, Feng Zheng, Dai Yi, Xiaobing Liu, Yang Liu and Yang Liu and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Chemical Engineering Journal.

In The Last Decade

Shaojie Wang

79 papers receiving 772 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaojie Wang China 15 303 219 206 134 111 82 784
Morteza Khalaji Assadi Malaysia 13 258 0.9× 219 1.0× 393 1.9× 142 1.1× 56 0.5× 45 932
Hong Tang China 18 139 0.5× 207 0.9× 425 2.1× 147 1.1× 117 1.1× 46 954
Jianing Liu China 17 104 0.3× 140 0.6× 311 1.5× 206 1.5× 160 1.4× 111 991
Guangyu Chen China 18 391 1.3× 192 0.9× 580 2.8× 351 2.6× 40 0.4× 77 1.3k
Guiping Zhou China 18 136 0.4× 198 0.9× 462 2.2× 90 0.7× 213 1.9× 74 917
M. Muhibbullah Bangladesh 16 78 0.3× 152 0.7× 137 0.7× 118 0.9× 21 0.2× 58 728
Xiaohua Li China 16 147 0.5× 248 1.1× 159 0.8× 75 0.6× 33 0.3× 53 840
Fei Zhao China 16 93 0.3× 157 0.7× 291 1.4× 128 1.0× 120 1.1× 98 797
Jiamin Hu China 18 171 0.6× 303 1.4× 599 2.9× 199 1.5× 46 0.4× 40 1.1k

Countries citing papers authored by Shaojie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaojie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaojie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaojie Wang. A scholar is included among the top collaborators of Shaojie Wang 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 Shaojie Wang. Shaojie Wang 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.
Wang, Shaojie, et al.. (2025). Multi-sensor data fusion and deep learning-based prediction of excavator bucket fill rates. Automation in Construction. 171. 106008–106008. 3 indexed citations
2.
Wang, Shaojie, Fangfang Song, Songmiao Liang, Cui Huang, & Hongye Yang. (2025). Mechanobiology of Collagen Synthesis, Assembly, and Mineralization. Journal of Dental Research. 104(13). 1432–1442.
3.
Hou, Liang, et al.. (2025). Model reconstruction and update method for dynamic prediction of loader loading resistance using deep incremental learning. Engineering Applications of Artificial Intelligence. 153. 110910–110910. 2 indexed citations
4.
Wang, Shaojie, et al.. (2025). Molecular engineering of carbon nanotubes with diiron dithiolato compounds for electrocatalytic overall water splitting. Electrochimica Acta. 524. 145986–145986. 3 indexed citations
5.
6.
Wang, Shaojie, et al.. (2024). Parameter Estimation of a Valve-Controlled Cylinder System Model Based on Bench Test and Operating Data Fusion. Chinese Journal of Mechanical Engineering. 37(1). 1 indexed citations
7.
Wang, Shaojie, et al.. (2024). Application of physics-informed machine learning for excavator working resistance modeling. Mechanical Systems and Signal Processing. 209. 111117–111117. 9 indexed citations
8.
Wang, Shaojie, et al.. (2024). Research on predictive modeling method of loader working resistance in a sensor-less environment. Engineering Applications of Artificial Intelligence. 138. 109263–109263. 1 indexed citations
9.
Gao, Yan, et al.. (2024). Covalent versus noncovalent attachments of [FeFe]‑hydrogenase models onto carbon nanotubes for aqueous hydrogen evolution reaction. Journal of Inorganic Biochemistry. 259. 112665–112665. 6 indexed citations
10.
Wang, Shaojie, et al.. (2024). Aqueous pH influence on the electrocatalytic hydrogen evolution reaction with carbon nanotube-supported diiron dithiolato compound. Applied Surface Science. 661. 160074–160074. 8 indexed citations
11.
Wang, Shaojie, et al.. (2023). Fast Estimation of Loader’s Shovel Load Volume by 3D Reconstruction of Material Piles. Chinese Journal of Mechanical Engineering. 36(1). 4 indexed citations
12.
Li, Yuzhen, Sufang Wang, Runbin Duan, et al.. (2023). Synthesis of a double type-II CdS/Zn2In2S5/g-C3N4 heterojunction photocatalyst for the photodegradation of tetracycline under visible light. Journal of environmental chemical engineering. 11(6). 111315–111315. 10 indexed citations
13.
Hou, Liang, et al.. (2023). Uncertainty modeling and applications for operating data-driven inverse design. Journal of Engineering Design. 34(2). 81–110. 5 indexed citations
14.
Hou, Liang, et al.. (2023). Predictive modeling of loader's working resistance measurement based on multi-sourced parameter data. Automation in Construction. 149. 104805–104805. 12 indexed citations
15.
Wang, Shaojie, Yue Fei, Dou Zhang, et al.. (2023). Prospect-theoretic Modeling of Team Cognition for Task Allocation Towards Human-automation Symbiosis. 1158–1162. 1 indexed citations
16.
Liu, Xu‐Feng, Shaojie Wang, & Pei‐Hua Zhao. (2023). Di-iron dithiolato complexes with 3-bromothiophene moiety: Preparation, structures, and electrochemistry. Journal of Molecular Structure. 1294. 136454–136454. 1 indexed citations
17.
Zhao, Pei‐Hua, et al.. (2023). Variation of dithiolate bridges in carbon nanotube-attached diiron chelate compounds for electrocatalytic hydrogen evolution reaction. Applied Surface Science. 639. 158276–158276. 8 indexed citations
18.
Wang, Shaojie, et al.. (2022). Modeling and Verification of an Acquisition Strategy for Wheel Loader’s Working Trajectories and Resistance. Sensors. 22(16). 5993–5993. 17 indexed citations
19.
Wang, Shaojie, et al.. (2022). Instantaneous Frequency Estimation Method for the Vibration Signal of Rotating Machinery Based on STFTSC Algorithm. The International Journal of Acoustics and Vibration. 27(1). 45–55. 6 indexed citations
20.
Tang, Zheng & Shaojie Wang. (1994). PC-CONTIN and Some Aspects of Determination of Positron Annihilation Rate Distribution. Materials science forum. 175-178. 1001–1004. 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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