Lanting Zhang

5.4k total citations
208 papers, 4.4k citations indexed

About

Lanting Zhang is a scholar working on Mechanical Engineering, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Lanting Zhang has authored 208 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Mechanical Engineering, 93 papers in Materials Chemistry and 53 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Lanting Zhang's work include Intermetallics and Advanced Alloy Properties (44 papers), Magnetic Properties of Alloys (42 papers) and Magnetic properties of thin films (30 papers). Lanting Zhang is often cited by papers focused on Intermetallics and Advanced Alloy Properties (44 papers), Magnetic Properties of Alloys (42 papers) and Magnetic properties of thin films (30 papers). Lanting Zhang collaborates with scholars based in China, Japan and United States. Lanting Zhang's co-authors include Jian Wu, Aidang Shan, Xianping Dong, Kazuhiro Ito, Feng Sun, Fugang Chen, M. Yamaguchi, Jiangtao Wu, Tieqiao Zhang and Qiongzhen Liu and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Water Research.

In The Last Decade

Lanting Zhang

200 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lanting Zhang China	40	2.2k	2.1k	1.2k	1.0k	503	208	4.4k
Xin Wu United States	36	2.1k 1.0×	2.5k 1.2×	656 0.5×	302 0.3×	282 0.6×	204	5.1k
Edgar Lara‐Curzio United States	46	2.2k 1.0×	2.7k 1.3×	807 0.6×	393 0.4×	538 1.1×	201	5.7k
Ryosuke O. Suzuki Japan	40	2.8k 1.3×	3.2k 1.5×	386 0.3×	344 0.3×	278 0.6×	314	5.9k
Jian Yang China	33	2.5k 1.2×	2.1k 1.0×	470 0.4×	138 0.1×	557 1.1×	199	4.2k
Song Zhang China	31	1.1k 0.5×	2.4k 1.1×	1.3k 1.1×	437 0.4×	526 1.0×	350	5.3k
J. González Spain	36	2.0k 0.9×	848 0.4×	1.3k 1.1×	1.3k 1.3×	127 0.3×	180	3.9k
W. R. Tyson Canada	25	3.3k 1.5×	2.7k 1.3×	230 0.2×	770 0.8×	261 0.5×	141	6.0k
Kui Du China	35	1.7k 0.8×	2.4k 1.1×	363 0.3×	253 0.3×	504 1.0×	131	4.1k
Haibin Zhang China	42	1.9k 0.9×	4.2k 2.0×	1.2k 1.0×	130 0.1×	1.5k 3.1×	234	6.2k
Carl C. Koch United States	39	4.5k 2.1×	4.3k 2.0×	311 0.2×	252 0.3×	1.1k 2.3×	117	6.4k

Countries citing papers authored by Lanting Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Lanting Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanting Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Lanting Zhang. A scholar is included among the top collaborators of Lanting Zhang 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 Lanting Zhang. Lanting Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lu, Yongchao, et al.. (2025). Effects of Ni content on the microstructure and properties of laser powder bed fusion-processed Fe–18Cr–XNi alloys. Journal of Materials Research and Technology. 35. 3341–3348. 1 indexed citations

Lu, Yongchao, et al.. (2025). Microstructure and property evolution in Fe-Cr-Ni alloys with varying Cr content fabricated by laser powder bed fusion. Materials Today Communications. 46. 112494–112494.

Huang, Xiang, et al.. (2025). Assessment and Application of Universal Machine Learning Interatomic Potentials in Solid-State Electrolyte Research. ACS Materials Letters. 7(10). 3403–3412. 2 indexed citations

Zu, Jian, Yue Zhang, Yi Liu, et al.. (2025). Global Burden of Chronic Liver Disease and Temporal Trends: A Population‐Based Analysis From 1990 to 2021 With Projections to 2050. Liver International. 45(6). e70155–e70155. 1 indexed citations

Zhang, Haihui, et al.. (2024). Efficient thermodynamic model optimization and uncertainty quantification via integration of combinatorial materials chip and Bayesian approach. Scripta Materialia. 243. 115977–115977.

Li, Shengzhi, et al.. (2024). An order-disorder phase transition in alloy 783 bolts after long-term service. Scripta Materialia. 243. 115983–115983.

Wang, Jianhao, et al.. (2024). An in-situ high-throughput study of the Invar effect in the Fe–Ni–Co system. Journal of Alloys and Compounds. 1010. 177755–177755. 4 indexed citations

Shi, Lu, et al.. (2024). Unique thermal expansion behaviors and magnetic properties of Super Invar alloy fabricated by laser powder bed fusion. Journal of Alloys and Compounds. 1011. 178403–178403. 4 indexed citations

Zhang, Lanting, et al.. (2024). Rational Design of Deep Learning Networks Based on a Fusion Strategy for Improved Material Property Predictions. Journal of Chemical Theory and Computation. 20(15). 6756–6771. 3 indexed citations

10.

Liu, Yi, Wee Han Ng, Lanting Zhang, et al.. (2024). Temporal trend of drug overdose-related deaths and excess deaths during the COVID-19 pandemic: a population-based study in the United States from 2012 to 2022. EClinicalMedicine. 74. 102752–102752. 4 indexed citations

11.

Lu, Yao, et al.. (2024). A gradient B2-BCT transition introduced by deformation in eutectic high-entropy alloy. Materials Letters. 366. 136549–136549. 1 indexed citations

12.

Liu, Mei, et al.. (2023). Efficient co-diffusion of Tb and Co in a sintered Nd-Fe-B magnet by low-melting point alloys. Scripta Materialia. 235. 115600–115600. 9 indexed citations

13.

Liu, Yajia, Xiongkui He, Lanting Zhang, et al.. (2023). Modeling and analysis of droplet deposition behavior: From the micro and macro perspectives. Computers and Electronics in Agriculture. 210. 107896–107896. 8 indexed citations

14.

Xing, Hui, et al.. (2023). The mechanism of nano-network structure formed by friction-induced pozzolanic silicate. Vacuum. 210. 111858–111858. 3 indexed citations

15.

Lu, Yao, Bing Zhao, Xianping Dong, et al.. (2023). Balanced mechanical properties of Al0.3CoCrFeNiTix high-entropy alloys by tailoring Ti content and heat treatment. Materials Science and Engineering A. 866. 144677–144677. 20 indexed citations

16.

Zhang, Haihui, et al.. (2023). Efficient thermodynamic modelling with uncertainty quantification of the Ag–Cu–Co system from its sub-binary systems. Materials Chemistry and Physics. 308. 128276–128276. 1 indexed citations

17.

Ji, Xinyi, Yao Lü, Xiaoping Wang, et al.. (2022). Rapid screening of magnetic properties in several Fe-X-Ni systems via combinatorial materials chip method. Journal of Materiomics. 9(1). 206–214. 4 indexed citations

18.

Rao, Yongchao, et al.. (2022). Machine-learning prediction of Vegard's law factor and volume size factor for binary substitutional metallic solid solutions. Acta Materialia. 237. 118166–118166. 18 indexed citations

19.

Rao, Yongchao, Yongchao Lu, Lanting Zhang, et al.. (2022). A metadata schema for lattice thermal conductivity from first-principles calculations. 2(4). 17–17. 7 indexed citations

20.

Hui, Jian, Qingyun Hu, Yuxi Luo, et al.. (2020). Phase Evolution and Amorphous Stability upon Solid-State Reaction in Superlattice-Like Ge–Sb–Te Combinatorial Thin Films. ACS Applied Electronic Materials. 2(12). 3880–3888. 3 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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