Wenhu Wang

2.2k total citations
130 papers, 1.6k citations indexed

About

Wenhu Wang is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Wenhu Wang has authored 130 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Mechanical Engineering, 39 papers in Biomedical Engineering and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Wenhu Wang's work include Advanced machining processes and optimization (38 papers), Advanced Surface Polishing Techniques (27 papers) and Advanced Machining and Optimization Techniques (21 papers). Wenhu Wang is often cited by papers focused on Advanced machining processes and optimization (38 papers), Advanced Surface Polishing Techniques (27 papers) and Advanced Machining and Optimization Techniques (21 papers). Wenhu Wang collaborates with scholars based in China, United States and Philippines. Wenhu Wang's co-authors include Ruisong Jiang, Yifeng Xiong, Kunyang Lin, Zengqiang Wang, Guodong Song, Xiaofen Liu, Dinghua Zhang, Bo Huang, Sharmila M. Mukhopadhyay and Chenwei Shan and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Wenhu Wang

121 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenhu Wang China 23 951 501 365 177 171 130 1.6k
Xiaoyuan Wang China 26 819 0.9× 556 1.1× 139 0.4× 164 0.9× 282 1.6× 75 1.9k
Yanxi Zhang China 25 1.3k 1.3× 209 0.4× 265 0.7× 240 1.4× 371 2.2× 118 2.1k
Tao Chen China 21 1.1k 1.1× 776 1.5× 719 2.0× 125 0.7× 282 1.6× 216 2.1k
Qiushi Li China 29 602 0.6× 657 1.3× 282 0.8× 404 2.3× 422 2.5× 155 2.3k
Fanrong Kong United States 27 1.4k 1.4× 113 0.2× 291 0.8× 297 1.7× 252 1.5× 83 2.2k
Yachao Wang China 29 1.2k 1.2× 522 1.0× 179 0.5× 77 0.4× 590 3.5× 137 2.4k
Xianping Liu United Kingdom 25 605 0.6× 472 0.9× 357 1.0× 344 1.9× 284 1.7× 88 2.0k
Zhongsheng Chen China 25 965 1.0× 516 1.0× 526 1.4× 61 0.3× 136 0.8× 95 2.1k
Cheolhee Kim South Korea 26 1.6k 1.7× 162 0.3× 122 0.3× 197 1.1× 315 1.8× 191 2.2k
Rufeng Xu China 19 589 0.6× 254 0.5× 236 0.6× 114 0.6× 245 1.4× 57 1.0k

Countries citing papers authored by Wenhu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenhu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhu Wang. A scholar is included among the top collaborators of Wenhu 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 Wenhu Wang. Wenhu 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, Wenhu, et al.. (2025). Experimental study on thermal cycle performance of DD6 single crystal thermal barrier coating with film cooling holes. Surface and Coatings Technology. 499. 131899–131899. 1 indexed citations
2.
Liu, Qian, Yuguo Xia, Wenhu Wang, et al.. (2025). Turbulent Flow‐Driven Synthesis of Graphene‐Skinned Boron Nitride Heterostructures for Dendrite‐Free Potassium Metal Batteries. Advanced Materials. 37(47). e09937–e09937.
3.
Wang, Hongyi, Chen Zhang, Wenhu Wang, et al.. (2025). High‐Valence Metal Modulating Lattice Oxygen in High‐Entropy Layered Double Hydroxides for Enhanced Oxygen Evolution Reaction. Advanced Functional Materials. 35(47).
4.
Wang, Wenhu, et al.. (2024). Ensemble learning-enabled early prediction of dimensional accuracy for complex products during investment casting. Journal of Manufacturing Processes. 113. 291–306. 4 indexed citations
5.
Wang, Wenhu, et al.. (2024). Systematic effect of the green credit policy on the formation of new quality productive forces in resource-based enterprises. SHILAP Revista de lepidopterología. 46(10). 1930–1943. 1 indexed citations
6.
7.
Zhang, Hang, Wenhu Wang, Shusheng Zhang, et al.. (2024). Point cloud self-supervised learning for machining feature recognition. Journal of Manufacturing Systems. 77. 78–95. 4 indexed citations
8.
Choudhary, Manisha, Wenhu Wang, Kenneth Mensah, Sharmila M. Mukhopadhyay, & Onur G. Apul. (2024). Disruption of the Conjugated π-Electron System of Graphene Oxides Diminishes Their Microwave Reactivity. Langmuir. 40(51). 26824–26834. 1 indexed citations
9.
Zhao, Hui, et al.. (2024). Physiological, Photosynthetic Characteristic and Transcriptome Analysis of PsnWRKY70 Transgenic Populus simonii × Populus nigra Under Salt Stress. International Journal of Molecular Sciences. 26(1). 81–81. 1 indexed citations
10.
Wang, Wenhu, et al.. (2023). Prediction of shear strength of RC slender beams based on interpretable machine learning. Structures. 57. 105171–105171. 12 indexed citations
11.
Zhang, Hang, Wenhu Wang, Shusheng Zhang, et al.. (2023). A novel method based on deep reinforcement learning for machining process route planning. Robotics and Computer-Integrated Manufacturing. 86. 102688–102688. 19 indexed citations
12.
Zhang, Hang, Wenhu Wang, Shusheng Zhang, et al.. (2023). A novel method for intersecting machining feature segmentation via deep reinforcement learning. Advanced Engineering Informatics. 59. 102256–102256. 4 indexed citations
13.
Wang, Wenhu, et al.. (2023). Hierarchical hybrid heat sink material for thermo-electric generators. Applied Thermal Engineering. 236. 121674–121674. 5 indexed citations
14.
Wang, Wenhu, et al.. (2023). Core shifting prediction in filling process of hollow turbine blade investment casting. Journal of Manufacturing Processes. 86. 253–265. 8 indexed citations
15.
Wang, Wenhu, et al.. (2022). Modified Zagreb Connection Indices for Benes Network and Related Classes. Journal of Mathematics. 2022(1). 5 indexed citations
16.
Wang, Wenhu, et al.. (2011). Reverse Adjustment Algorithm of Ceramic Core Locators in Hollow Turbine Blade Investment Casting Die. Acta Aeronautica et Astronautica Sinica. 32(10). 1924–1929. 1 indexed citations
17.
Wang, Wenhu, et al.. (2008). Dye Sensitized Photodegradation of Triclosan in Heterogeneous System. Environmental Science & Technology. 31(8). 22–25. 7 indexed citations
18.
Zang, Yang, et al.. (2005). Identification of a Subversive Substrate of Trichomonas vaginalis Purine Nucleoside Phosphorylase and the Crystal Structure of the Enzyme-Substrate Complex. Journal of Biological Chemistry. 280(23). 22318–22325. 18 indexed citations
19.
Wang, Wenhu. (2004). Study on Net-Shape NC Machinging Technology of Thin-Balde of Aeroengine. Mechanical Science and Technology. 4 indexed citations
20.
Qian, Chengmin, Yuanyuan Yao, Keqiong Ye, et al.. (2001). Effects of charged amino‐acid mutation on the solution structure of cytochrome b5 and binding between cytochrome b5 and cytochrome c. Protein Science. 10(12). 2451–2459. 12 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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