J.C. Pang

3.0k total citations
104 papers, 2.4k citations indexed

About

J.C. Pang is a scholar working on Mechanical Engineering, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, J.C. Pang has authored 104 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Mechanical Engineering, 70 papers in Materials Chemistry and 51 papers in Mechanics of Materials. Recurrent topics in J.C. Pang's work include Microstructure and Mechanical Properties of Steels (42 papers), Fatigue and fracture mechanics (37 papers) and Microstructure and mechanical properties (26 papers). J.C. Pang is often cited by papers focused on Microstructure and Mechanical Properties of Steels (42 papers), Fatigue and fracture mechanics (37 papers) and Microstructure and mechanical properties (26 papers). J.C. Pang collaborates with scholars based in China, United States and Mexico. J.C. Pang's co-authors include Shan Li, Peng Zhang, Meng Wang, Z.F. Zhang, Chenwei Shao, Z.G. Wang, Yu Qiu, Z.J. Zhang, Q.Q. Duan and R. Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Materials Science and Engineering A.

In The Last Decade

J.C. Pang

95 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.C. Pang China 28 2.2k 1.3k 1.1k 527 263 104 2.4k
Sangshik Kim South Korea 29 2.3k 1.1× 1.3k 1.1× 703 0.6× 911 1.7× 493 1.9× 133 2.7k
Baoxi Liu China 35 2.4k 1.1× 1.4k 1.1× 561 0.5× 589 1.1× 191 0.7× 108 2.7k
M. Srinivas India 25 1.7k 0.8× 969 0.8× 674 0.6× 446 0.8× 164 0.6× 85 2.1k
Chengqi Sun China 32 2.2k 1.0× 1.4k 1.1× 1.9k 1.7× 332 0.6× 437 1.7× 97 3.0k
Hesam Pouraliakbar Iran 41 2.8k 1.3× 1.2k 1.0× 545 0.5× 1.2k 2.2× 284 1.1× 71 3.2k
M. Pouranvari Iran 41 5.2k 2.4× 1.3k 1.0× 1.0k 0.9× 848 1.6× 522 2.0× 150 5.3k
S.A.A. Akbari Mousavi Iran 24 2.1k 1.0× 1.1k 0.9× 515 0.5× 358 0.7× 169 0.6× 73 2.3k
Junhe Lian Germany 29 2.0k 0.9× 1.1k 0.9× 1.4k 1.3× 156 0.3× 208 0.8× 132 2.4k
Hyun-Uk Hong South Korea 31 2.9k 1.3× 1.4k 1.1× 700 0.6× 528 1.0× 479 1.8× 133 3.1k
Miaoquan Li China 28 1.8k 0.8× 1.6k 1.3× 1.2k 1.1× 264 0.5× 125 0.5× 125 2.4k

Countries citing papers authored by J.C. Pang

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Pang. 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 J.C. Pang. The network helps show where J.C. Pang may publish in the future.

Co-authorship network of co-authors of J.C. Pang

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Pang. A scholar is included among the top collaborators of J.C. Pang 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 J.C. Pang. J.C. Pang 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.
Ma, Shuai, Shengqian Chen, J.C. Pang, et al.. (2025). Multi-proxy records of climate change in the northeastern Iranian plateau over the past 1500 years. CATENA. 263. 109741–109741.
2.
Wang, Nan, J.C. Pang, L.J. Chen, et al.. (2025). Low cycle fatigue properties and life prediction of selective laser melted Inconel 718 at different temperatures. Journal of Materials Research and Technology. 35. 1829–1841. 4 indexed citations
3.
Tan, Zihao, Xinguang Wang, J.C. Pang, et al.. (2025). Low-cycle and thermal–mechanical fatigue of the fourth-generation single crystal superalloy: correlation of deformation mechanisms and life prediction method. International Journal of Fatigue. 203. 109300–109300.
4.
Zhang, Yi, J.C. Pang, Hiroyuki Sakai, et al.. (2025). A 2.5 dB noise figure 28 GHz current-reused noise-cancelling LNA with g<sub>m</sub>-boosting in 65 nm CMOS for millimeter-wave MIMO applications. IEICE Electronics Express. 22(6). 20250033–20250033.
5.
6.
Tan, Zihao, Xinguang Wang, J.C. Pang, et al.. (2025). Micro-scale local damage mechanisms and life prediction method of the fourth-generation single crystal superalloy under thermal-mechanical fatigue. Scripta Materialia. 269. 116935–116935. 3 indexed citations
7.
8.
Chen, Feng, Yu Liu, J.C. Pang, et al.. (2025). Characterization and mechanism of action of bimetallic-modified MIL-101(Fe) magnetic composites for enhanced removal of polystyrene from water. Separation and Purification Technology. 372. 133397–133397. 5 indexed citations
9.
Zhang, Z.J., et al.. (2025). Quantitative relationship among processing, microstructure, and tensile properties in bimodal TC11 alloy. Materials Science and Engineering A. 944. 148975–148975. 1 indexed citations
10.
Zhang, Zhenjun, Richard Liu, Zhan Qu, et al.. (2025). Suppression of Fatigue Life Duality in TC11 Alloy by Microstructure Modulation. Advanced Engineering Materials. 27(12). 1 indexed citations
11.
Tan, Zihao, Xinguang Wang, Yunling Du, et al.. (2024). Failure-mode dependence on the formation of deformation twinning in the fourth-generation single crystal Ni-based superalloy at high temperatures. International Journal of Fatigue. 182. 108229–108229. 8 indexed citations
12.
Pang, J.C., et al.. (2024). Fatigue crack initiation site transition of high‐strength steel under very high‐cycle fatigue. Fatigue & Fracture of Engineering Materials & Structures. 47(12). 4450–4464. 1 indexed citations
13.
Tan, Zihao, Xinguang Wang, Yongmei Li, et al.. (2023). Dependence of deformation mechanisms on micro-pores in the fourth-generation single crystal superalloy during out-of-phase thermal-mechanical fatigue. International Journal of Fatigue. 180. 108086–108086. 10 indexed citations
14.
Sun, Shuai, et al.. (2023). Prediction of thermomechanical fatigue life in RuT450 compacted graphite cast iron cylinder heads using the Neu/Sehitoglu model. Engineering Failure Analysis. 156. 107767–107767. 5 indexed citations
15.
Pang, J.C., et al.. (2018). The Effect of Tailored Deformation on Fatigue Strength of Austenitic 316L Stainless Steel. Advanced Engineering Materials. 20(11). 13 indexed citations
16.
Wang, B., Peng Zhang, Q.Q. Duan, et al.. (2017). Synchronously improved fatigue strength and fatigue crack growth resistance in twinning-induced plasticity steels. Materials Science and Engineering A. 711. 533–542. 25 indexed citations
17.
Zhang, Z.J., J.C. Pang, & Z.F. Zhang. (2016). Optimizing the fatigue strength of ultrafine-grained Cu-Zn alloys. Materials Science and Engineering A. 666. 305–313. 21 indexed citations
18.
Pang, J.C., et al.. (2016). Low‐Cycle Fatigue Properties and Life Prediction of the Steels with Trace Silicon. Advanced Engineering Materials. 19(3). 8 indexed citations
19.
Shao, Chenwei, Peng Zhang, R. Liu, et al.. (2016). A remarkable improvement of low-cycle fatigue resistance of high-Mn austenitic TWIP alloys with similar tensile properties: Importance of slip mode. Acta Materialia. 118. 196–212. 99 indexed citations
20.
Shao, Chenwei, Peng Zhang, R. Liu, et al.. (2015). Low-cycle and extremely-low-cycle fatigue behaviors of high-Mn austenitic TRIP/TWIP alloys: Property evaluation, damage mechanisms and life prediction. Acta Materialia. 103. 781–795. 188 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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