Xiaohong Wu

5.1k total citations · 1 hit paper
132 papers, 4.5k citations indexed

About

Xiaohong Wu is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Xiaohong Wu has authored 132 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Materials Chemistry, 44 papers in Electrical and Electronic Engineering and 30 papers in Mechanical Engineering. Recurrent topics in Xiaohong Wu's work include Advancements in Battery Materials (22 papers), High-Temperature Coating Behaviors (19 papers) and Advanced Battery Materials and Technologies (18 papers). Xiaohong Wu is often cited by papers focused on Advancements in Battery Materials (22 papers), High-Temperature Coating Behaviors (19 papers) and Advanced Battery Materials and Technologies (18 papers). Xiaohong Wu collaborates with scholars based in China, United States and Hong Kong. Xiaohong Wu's co-authors include Songtao Lu, C. L. Fu, G. G. Siu, H. C. Ong, Wei Qin, Jia Zhou, Jie Liu, Zhaohua Jiang, Yingwen Cheng and Zhongping Yao and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Xiaohong Wu

129 papers receiving 4.4k citations

Hit Papers

Photoluminescence and cathodoluminescence studies of stoi... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohong Wu China 31 2.4k 2.4k 1.2k 718 523 132 4.5k
Huaiyu Shao China 46 4.8k 2.0× 2.1k 0.9× 632 0.5× 806 1.1× 654 1.3× 189 6.8k
Jiajun Li China 39 2.2k 0.9× 3.2k 1.3× 1.9k 1.6× 819 1.1× 1.6k 3.1× 130 5.8k
Peigen Zhang China 43 3.4k 1.4× 2.6k 1.1× 1.6k 1.3× 750 1.0× 1.1k 2.1× 213 5.9k
Xierong Zeng China 42 3.1k 1.3× 2.7k 1.1× 1.5k 1.3× 1.1k 1.5× 1.2k 2.3× 240 6.3k
Yingfang Yao China 38 2.0k 0.8× 2.7k 1.1× 686 0.6× 2.2k 3.0× 387 0.7× 109 4.9k
Tongxiang Liang China 39 2.8k 1.2× 2.3k 1.0× 1.2k 1.0× 1.6k 2.2× 1.2k 2.2× 256 5.6k
Yu‐Jun Bai China 32 1.5k 0.6× 2.1k 0.9× 1.6k 1.3× 224 0.3× 784 1.5× 156 3.9k
Wei Cai China 35 3.1k 1.3× 2.1k 0.9× 1.7k 1.4× 712 1.0× 1.1k 2.0× 246 5.6k
Xiao Yu China 32 1.4k 0.6× 2.0k 0.8× 1.6k 1.4× 832 1.2× 486 0.9× 130 4.2k
Qiang Sun China 36 3.3k 1.4× 2.2k 0.9× 488 0.4× 554 0.8× 717 1.4× 123 4.7k

Countries citing papers authored by Xiaohong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Wu. A scholar is included among the top collaborators of Xiaohong 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 Xiaohong Wu. Xiaohong 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
2.
Yao, Yuan, et al.. (2025). Machine learning-driven design of BCC phase FeCrVTiMoxSiy high-entropy alloy coatings with high hardness to enhance wear resistance. Surface and Coatings Technology. 511. 132238–132238. 2 indexed citations
3.
Wu, Xiaohong, et al.. (2025). U-GRKAN: An Efficient and Interpretable Architecture for Medical Image Segmentation. Journal of Imaging Informatics in Medicine.
4.
Shi, Guanghui, et al.. (2024). Construction of hard BCC phases FeCrVMnTi wear-resistant high-entropy alloy coatings enhanced by solid solution of Ti elements. Surface and Coatings Technology. 493. 131245–131245. 6 indexed citations
5.
Li, Zhaofeng, Yang Hong, Yang Li, Wei Qin, & Xiaohong Wu. (2024). Improvement of oxidation resistance of the Ti-modified Cr-based coating on Zry-4 by Cr2O3/Cr2TiO5 double oxide layer with coherent interface. Surface and Coatings Technology. 496. 131612–131612. 2 indexed citations
6.
Wang, Yi, Liang Cao, Ke Wang, et al.. (2024). The IL-1β/STAT1 Axis inhibits STAT3 function via Sequestration of the transcriptional activator GLIS2, leading to postoperative vascular dysfunction. International Immunopharmacology. 143(Pt 2). 113372–113372. 2 indexed citations
7.
Yao, Yuan, Zhongping Yao, Guanghui Shi, et al.. (2024). Regulation of chemical microenvironment to overcome strength-ductility trade-off in FeCrVTiSi high-entropy alloys coating. Surface and Coatings Technology. 484. 130872–130872. 9 indexed citations
8.
Yan, Chenglin, Shu Liu, Hong Ki Min, et al.. (2024). Multi-perspective interpretation for one-dimensional conventional neural network model to identify iron-bearing waste material. Journal of environmental chemical engineering. 12(3). 112580–112580. 1 indexed citations
10.
Zhang, Peng, et al.. (2024). Tuning strength-ductility combination on two-phase FeCrAlTix high entropy alloy coating through grain refinement induced the generation of a second phase. Journal of Alloys and Compounds. 1004. 175924–175924. 5 indexed citations
12.
Zhou, Yan, Yang Li, Mingna Chu, et al.. (2023). Stacked nano FAU zeolite as hierarchical Murray material for enhancing CO2 diffusion kinetics. Separation and Purification Technology. 325. 124729–124729. 8 indexed citations
13.
Shi, Ting, Yuan Yao, Yang Hong, et al.. (2023). Scrolling reduced graphene oxides to induce room temperature magnetism via spatial coupling of defects. Materials Horizons. 10(10). 4344–4353. 4 indexed citations
14.
Wang, Duan, et al.. (2023). Identification of the WRKY gene family in apricot and its response to drought stress. Horticulture Environment and Biotechnology. 64(2). 269–282. 7 indexed citations
15.
Yao, Yuan, Zhongping Yao, Yang Liu, et al.. (2023). Construction of FeCrVTiMo high-entropy alloys with enhanced mechanical properties based on electronegativity difference regulation strategy. Journal of Alloys and Compounds. 957. 170431–170431. 24 indexed citations
16.
Wen, Cuilian, Xiao Long, Lijin Luo, et al.. (2022). Enhanced biological behavior and antibacterial property of WS2 nanosheets modified mesoporous bioactive glass nanospheres for bone tissue engineering. Ceramics International. 48(22). 33781–33793. 8 indexed citations
17.
Liu, Yanyan, et al.. (2022). Enhanced strength without sacrificing ductility in FeCrMnVSi high entropy alloys via controlling the ratio of metallic to covalent bonding. Materials & Design. 225. 111565–111565. 29 indexed citations
18.
Jian, Jiahuang, et al.. (2020). Aluminum Decoration on MoS₂ Ultrathin Nanosheets for Highly Efficient Hydrogen Evolution. ACS Sustainable Chemistry & Engineering. 1 indexed citations
19.
Lu, Songtao, Yan Chen, Jia Zhou, et al.. (2016). A Sheet-like Carbon Matrix Hosted Sulfur as Cathode for High-performance Lithium-Sulfur Batteries. Scientific Reports. 6(1). 20445–20445. 35 indexed citations
20.
Xin, Shigang, et al.. (2009). Effect of current density on Al alloy microplasma oxidation. Journal of Material Science and Technology. 17(6). 657–660. 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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