Ge Kang

462 total citations
25 papers, 338 citations indexed

About

Ge Kang is a scholar working on Mechanics of Materials, Materials Chemistry and Civil and Structural Engineering. According to data from OpenAlex, Ge Kang has authored 25 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanics of Materials, 13 papers in Materials Chemistry and 7 papers in Civil and Structural Engineering. Recurrent topics in Ge Kang's work include High-Velocity Impact and Material Behavior (9 papers), Energetic Materials and Combustion (5 papers) and Rock Mechanics and Modeling (4 papers). Ge Kang is often cited by papers focused on High-Velocity Impact and Material Behavior (9 papers), Energetic Materials and Combustion (5 papers) and Rock Mechanics and Modeling (4 papers). Ge Kang collaborates with scholars based in China, Germany and Australia. Ge Kang's co-authors include Youjun Ning, Pengwan Chen, Siping Pang, Jun Yang, Shun‐Peng Zhu, Yansong Guo, Yongbo Shao, Xinjie Wang, Jiudi Zhong and Rui Liu and has published in prestigious journals such as Journal of Applied Physics, Electrochimica Acta and Advanced Science.

In The Last Decade

Ge Kang

23 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Kang China	11	201	93	88	49	38	25	338
A.S. Ademiloye China	10	83 0.4×	81 0.9×	58 0.7×	4 0.1×	64 1.7×	26	308
Xiaonan Wang China	9	225 1.1×	83 0.9×	40 0.5×	47 1.0×	8 0.2×	13	329
Prince Sharma India	9	189 0.9×	240 2.6×	143 1.6×	16 0.3×	35 0.9×	29	384
Zhixiang Song China	15	477 2.4×	61 0.7×	135 1.5×	78 1.6×	14 0.4×	50	583
Sreten Mastilović Serbia	12	365 1.8×	226 2.4×	141 1.6×	18 0.4×	55 1.4×	34	507
Paul Sicsic France	5	381 1.9×	147 1.6×	80 0.9×	16 0.3×	90 2.4×	9	449
W. Leclerc France	13	257 1.3×	62 0.7×	86 1.0×	13 0.3×	77 2.0×	30	375
Huaifa Ma China	7	253 1.3×	54 0.6×	314 3.6×	17 0.3×	61 1.6×	10	432
Jiarong Chen China	12	209 1.0×	104 1.1×	60 0.7×	80 1.6×	3 0.1×	44	348
Lu Hai China	11	182 0.9×	107 1.2×	115 1.3×	7 0.1×	62 1.6×	25	328

Countries citing papers authored by Ge Kang

Since Specialization

Citations

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

Fields of papers citing papers by Ge Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Kang. A scholar is included among the top collaborators of Ge Kang 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 Ge Kang. Ge Kang 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

Jiang, Xiaogang, et al.. (2025). Detection of Lead Chrome Green in Tea Based on Near‐Infrared Reflectance Spectroscopy. Journal of Chemometrics. 39(3).

Kang, Ge, et al.. (2024). Development of crack surface tracking algorithm for explosive fracture simulation with three-dimensional numerical manifold method. Engineering Fracture Mechanics. 313. 110645–110645. 2 indexed citations

Kang, Ge, et al.. (2024). Effects of Photodynamic Therapy Using 5 -Aminolevulinic Acid (ALA) Loaded Acrylic Nanoparticles (ANPs) on HaCaT Cells. Clinical Cosmetic and Investigational Dermatology. Volume 17. 1297–1308.

Kang, Ge, Xuejing Wang, Aipeng Li, et al.. (2024). High‐Spin States of Manganese(III) Enable Robust Cold‐Adapted Activity of MnO ₂ Nanozymes. Advanced Science. 12(6). e2415477–e2415477. 8 indexed citations

Kang, Ge, et al.. (2024). Bioinformatic Analysis of Genes Associated with Autophagy in Vitiligo. Indian Journal of Dermatology. 69(2). 123–131. 2 indexed citations

Tang, Wenjuan, Ge Kang, Lei Shen, et al.. (2023). Th1 bias of liver mucosal‐associated invariant T cells promotes hepatic gluconeogenesis in type 2 diabetes mellitus. Diabetes/Metabolism Research and Reviews. 39(4). e3620–e3620. 3 indexed citations

Kang, Ge, et al.. (2023). Enrichment of three-dimensional numerical manifold method with cover-based contact theory for static and dynamic mechanical response analysis. Applied Mathematical Modelling. 122. 524–554. 7 indexed citations

Kang, Ge, et al.. (2023). Three-Dimensional Numerical Manifold Method for Low-Speed Impact Simulation of PBXs. 26(1). 1–1. 1 indexed citations

Kang, Ge, et al.. (2023). Identification of Dopachrome Tautomerase (DCT) and Kinesin Family Member 1A (KIF1A) as Related Biomarkers and Immune Infiltration Characteristics of Vitiligo Based on Lasso-SVM Algorithms. Clinical Cosmetic and Investigational Dermatology. Volume 16. 3509–3520. 3 indexed citations

10.

Zhang, Peng, Ge Kang, Ruzhi Zhang, et al.. (2023). Development of biodegradable nanogels for lipase accelerated drug release of 5-aminolevulinic acid. Colloids and Surfaces B Biointerfaces. 225. 113268–113268. 3 indexed citations

11.

Kang, Ge, et al.. (2022). Research status of vitiligo models. Journal of Clinical Images and Medical Case Reports. 3(8). 2 indexed citations

12.

Ning, Youjun, et al.. (2022). Simulations of crack development in brittle materials under dynamic loading using the numerical manifold method. Engineering Fracture Mechanics. 275. 108830–108830. 31 indexed citations

13.

Kang, Ge, Youjun Ning, Rui Liu, Pengwan Chen, & Siping Pang. (2021). Simulation of force chains and particle breakage of granular material by numerical manifold method. Powder Technology. 390. 464–472. 19 indexed citations

14.

Meng, Lu, et al.. (2021). Long-term Wearable Electrocardiogram Signal Monitoring and Analysis Based on Convolutional Neural Network. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 27 indexed citations

15.

Kang, Ge, et al.. (2021). Mechanical behavior simulation of particulate-filled composite at meso-scale by numerical manifold method. International Journal of Mechanical Sciences. 213. 106846–106846. 10 indexed citations

16.

Kang, Ge, Youjun Ning, Pengwan Chen, Siping Pang, & Yongbo Shao. (2021). Comprehensive simulations of rock fracturing with pre-existing cracks by the numerical manifold method. Acta Geotechnica. 17(3). 857–876. 37 indexed citations

17.

Kang, Ge, et al.. (2019). Meso-structure construction and effective modulus simulation of PBXs. Journal of Energetic Materials. 38(3). 261–282. 13 indexed citations

18.

Tu, Jiong, Ge Kang, Jiudi Zhong, & Yu Cheng. (2019). Outpatient communication patterns in a cancer hospital in China: A qualitative study of doctor–patient encounters. Health Expectations. 22(3). 594–603. 23 indexed citations

19.

Kang, Ge, Youjun Ning, & Pengwan Chen. (2019). Meso-scale failure simulation of polymer bonded explosive with initial defects by the numerical manifold method. Computational Materials Science. 173. 109425–109425. 18 indexed citations

20.

Yao, Wei, et al.. (2016). Strongly coupled hybrid ZnCo2O4 quantum dots/reduced graphene oxide with high-performance lithium storage capability. Electrochimica Acta. 210. 783–791. 18 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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