Xiaoming Cao

9.8k total citations · 3 hit papers
205 papers, 8.2k citations indexed

About

Xiaoming Cao is a scholar working on Materials Chemistry, Catalysis and Mechanical Engineering. According to data from OpenAlex, Xiaoming Cao has authored 205 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Materials Chemistry, 48 papers in Catalysis and 45 papers in Mechanical Engineering. Recurrent topics in Xiaoming Cao's work include Catalytic Processes in Materials Science (51 papers), Catalysis and Oxidation Reactions (38 papers) and Corrosion Behavior and Inhibition (28 papers). Xiaoming Cao is often cited by papers focused on Catalytic Processes in Materials Science (51 papers), Catalysis and Oxidation Reactions (38 papers) and Corrosion Behavior and Inhibition (28 papers). Xiaoming Cao collaborates with scholars based in China, United Kingdom and United States. Xiaoming Cao's co-authors include P. Hu, Wende Hu, Yongzhe Fan, Yun Guo, Xue Zhao, Ruina Ma, An Du, He Tian, Xiang Ma and Jie Wang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Xiaoming Cao

192 papers receiving 8.1k citations

Hit Papers

Amorphous Metal-Free Room-Temperature Phosphor... 2011 2026 2016 2021 2018 2011 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Cao China 45 5.3k 2.9k 2.4k 2.0k 1.1k 205 8.2k
Baozhong Liu China 46 7.7k 1.4× 2.8k 0.9× 2.8k 1.2× 1.9k 0.9× 703 0.6× 241 9.7k
Zhenxing Li China 49 4.0k 0.8× 3.0k 1.0× 2.4k 1.0× 1.1k 0.5× 629 0.6× 269 7.5k
Qin Yue China 43 3.1k 0.6× 2.7k 0.9× 2.1k 0.9× 948 0.5× 445 0.4× 142 6.7k
Jiarui Yang China 40 3.7k 0.7× 4.4k 1.5× 2.2k 0.9× 1.1k 0.6× 535 0.5× 155 7.3k
Le He China 52 4.8k 0.9× 3.9k 1.3× 1.9k 0.8× 1.2k 0.6× 656 0.6× 257 10.3k
Juan J. Delgado Spain 46 6.1k 1.1× 2.6k 0.9× 845 0.4× 3.2k 1.6× 1.1k 1.0× 178 8.0k
Ovidiu Ersen France 57 6.7k 1.3× 3.0k 1.0× 2.3k 1.0× 1.9k 0.9× 1.4k 1.2× 345 10.9k
Mark D. Symes United Kingdom 40 3.5k 0.7× 6.1k 2.1× 4.3k 1.8× 1.2k 0.6× 314 0.3× 110 9.5k
Junjie Wang China 41 4.0k 0.8× 2.1k 0.7× 1.7k 0.7× 1.2k 0.6× 606 0.5× 197 6.6k
Li Yang China 46 4.2k 0.8× 4.8k 1.6× 3.0k 1.3× 716 0.4× 288 0.3× 191 7.9k

Countries citing papers authored by Xiaoming Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Cao. A scholar is included among the top collaborators of Xiaoming Cao 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 Xiaoming Cao. Xiaoming Cao 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.
Cao, Xiaoming, et al.. (2025). Deep learning-based depression recognition through facial expression: A systematic review. Neurocomputing. 627. 129605–129605. 3 indexed citations
2.
Li, Zening, et al.. (2025). Enhanced catalytic transfer hydrogenation of p-nitrophenol using formaldehyde: MnO2-supported Ag nanohybrids with tuned d-band structure. Journal of Colloid and Interface Science. 684(Pt 1). 254–261. 4 indexed citations
3.
Qian, Xiang, Xiao Yang, Yanglong Guo, et al.. (2025). Ensembled Ptδ+ species on Beta zeolites for efficient preferential oxidation of CO in H2. Chem Catalysis. 5(5). 101302–101302. 1 indexed citations
4.
Li, Wenlong, Xuan Tang, Lu Cheng, et al.. (2025). Fe-(μ-O)-Zn dual-atom boosting C-C coupling for direct oxidation of methane to acetic acid using O2. Nature Communications. 16(1). 9471–9471.
5.
6.
Jing, Qiang, Fan Liu, Xiaobin Yuan, Xuhui Zhang, & Xiaoming Cao. (2024). Clinical comparative study of single-use and reusable digital flexible ureteroscopy for the treatment of lower pole stones: a retrospective case-controlled study. BMC Urology. 24(1). 149–149. 4 indexed citations
7.
Han, Dong Suk, Ruina Ma, An Du, et al.. (2023). Improvement of cracking resistance of hot-dip Zn-Al-Mg coatings by heat treatment. Materials Today Communications. 36. 106521–106521. 11 indexed citations
8.
Han, Dong Suk, Jianlong Wang, An Du, et al.. (2023). Study on the microstructure and corrosion resistance of Zn-3Al-xMg alloy. Surface and Coatings Technology. 473. 130011–130011. 15 indexed citations
9.
Guo, Huanxin, Cong Liu, Honglong Hu, et al.. (2023). Neglected acidity pitfall: boric acid-anchoring hole-selective contact for perovskite solar cells. National Science Review. 10(5). 65 indexed citations
10.
Han, Dong Suk, Ruina Ma, An Du, et al.. (2022). Wetting of liquid Zinc-aluminum-magnesium alloy on steel substrate during hot-dipping: Understanding the role of the flux. Surface Topography Metrology and Properties. 10(3). 35038–35038. 1 indexed citations
11.
Cheng, Lu, Qingqing Gu, Bing Yang, et al.. (2022). ZSM-5-confined Cr1–O4 active sites boost methane direct oxidation to C1 oxygenates under mild conditions. EES Catalysis. 1(2). 153–161. 21 indexed citations
12.
Xin, Ying, Lu Cheng, Yanan Lv, et al.. (2021). Experimental and Theoretical Insight into the Facet-Dependent Mechanisms of NO Oxidation Catalyzed by Structurally Diverse Mn2O3 Nanocrystals. ACS Catalysis. 12(1). 397–410. 56 indexed citations
13.
Xu, Jiayan, Xiaoming Cao, & P. Hu. (2021). Perspective on computational reaction prediction using machine learning methods in heterogeneous catalysis. Physical Chemistry Chemical Physics. 23(19). 11155–11179. 55 indexed citations
14.
Xu, Jiayan, Xiaoming Cao, & P. Hu. (2021). Accelerating Metadynamics-Based Free-Energy Calculations with Adaptive Machine Learning Potentials. Journal of Chemical Theory and Computation. 17(7). 4465–4476. 32 indexed citations
17.
Xin, Ying, Nana Zhang, Qian Li, et al.. (2018). Active Site Identification and Modification of Electronic States by Atomic-Scale Doping To Enhance Oxide Catalyst Innovation. ACS Catalysis. 8(2). 1399–1404. 50 indexed citations
18.
Hu, Wende, Xiaoming Cao, & P. Hu. (2018). DFT+U Study on Catalysis by Co3O4: Influence of U Value and a Surface–Bulk Bi-U Strategy. The Journal of Physical Chemistry C. 122(34). 19593–19602. 19 indexed citations
19.
Zhao, Yang, Lei Wang, Hongbin Zhang, et al.. (2017). Engineering Fractal MTW Zeolite Mesocrystal: Particle-Based Dendritic Growth via Twinning-Plane Induced Crystallization. Crystal Growth & Design. 18(2). 1101–1108. 21 indexed citations
20.
Shi, Zhangping, Kaiqi Nie, Boxu Gao, et al.. (2017). Phosphorus-Mo2C@carbon nanowires toward efficient electrochemical hydrogen evolution: composition, structural and electronic regulation. Energy & Environmental Science. 10(5). 1262–1271. 425 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026