J.F. Liu

661 total citations
13 papers, 528 citations indexed

About

J.F. Liu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, J.F. Liu has authored 13 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 8 papers in Electrical and Electronic Engineering and 7 papers in Materials Chemistry. Recurrent topics in J.F. Liu's work include Advanced Machining and Optimization Techniques (7 papers), Shape Memory Alloy Transformations (6 papers) and Advanced Surface Polishing Techniques (4 papers). J.F. Liu is often cited by papers focused on Advanced Machining and Optimization Techniques (7 papers), Shape Memory Alloy Transformations (6 papers) and Advanced Surface Polishing Techniques (4 papers). J.F. Liu collaborates with scholars based in United States and China. J.F. Liu's co-authors include Y. B. Guo, C. Li, Xiaoying Fang, L. Li, C.H. Fu, Mark L. Weaver, T.M. Butler, Andrew Guo, Qing Zhao and J.B. Jordon and has published in prestigious journals such as Applied Surface Science, Applied Thermal Engineering and Materials & Design.

In The Last Decade

J.F. Liu

12 papers receiving 510 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.F. Liu United States 10 423 237 169 143 133 13 528
Y. S. Wong Singapore 8 423 1.0× 169 0.7× 193 1.1× 136 1.0× 81 0.6× 16 522
Shadab Ahmad China 12 300 0.7× 154 0.6× 249 1.5× 65 0.5× 70 0.5× 34 429
Fatih Hayati Çakır Türkiye 15 446 1.1× 184 0.8× 168 1.0× 40 0.3× 164 1.2× 46 525
Sagar Patel Canada 11 429 1.0× 73 0.3× 112 0.7× 257 1.8× 59 0.4× 28 515
Mehmet Boy Türkiye 13 553 1.3× 308 1.3× 180 1.1× 42 0.3× 99 0.7× 21 590
Joseba Pujana Spain 10 452 1.1× 163 0.7× 243 1.4× 120 0.8× 41 0.3× 10 530
Ashwin Polishetty Australia 10 487 1.2× 126 0.5× 105 0.6× 218 1.5× 140 1.1× 46 513
Mulugundam Siva Surya India 16 435 1.0× 76 0.3× 173 1.0× 65 0.5× 111 0.8× 32 571
Probir Saha India 14 618 1.5× 286 1.2× 230 1.4× 64 0.4× 64 0.5× 37 653
Giancarlo Maccarini Italy 13 383 0.9× 199 0.8× 203 1.2× 42 0.3× 37 0.3× 37 462

Countries citing papers authored by J.F. Liu

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.F. Liu

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

All Works

13 of 13 papers shown
1.
Liu, J.F., et al.. (2024). Multiphysics fields simulation of photothermal catalytic degradation of R134a in a flat plate reactor. Applied Thermal Engineering. 258. 124788–124788.
2.
Liu, J.F., C. Li, Xiaoying Fang, J.B. Jordon, & Y. B. Guo. (2018). Effect of wire-EDM on fatigue of nitinol shape memory alloy. Materials and Manufacturing Processes. 33(16). 1809–1814. 24 indexed citations
3.
Li, C., J.F. Liu, Xiaoying Fang, & Y. B. Guo. (2017). Efficient predictive model of part distortion and residual stress in selective laser melting. Additive manufacturing. 17. 157–168. 189 indexed citations
5.
Liu, J.F., Y. B. Guo, T.M. Butler, & Mark L. Weaver. (2016). Crystallography, compositions, and properties of white layer by wire electrical discharge machining of nitinol shape memory alloy. Materials & Design. 109. 1–9. 71 indexed citations
6.
Fu, C.H., J.F. Liu, Y. B. Guo, & Qing Zhao. (2016). A Comparative Study on White Layer Properties by Laser Cutting vs. Electrical Discharge Machining of Nitinol Shape Memory Alloy. Procedia CIRP. 42. 246–251. 24 indexed citations
7.
Li, C., J.F. Liu, & Y. B. Guo. (2016). Efficient Multiscale Prediction of Cantilever Distortion by Selective Laser Melting. 8 indexed citations
8.
Liu, J.F. & Y. B. Guo. (2016). Thermal Modeling of EDM with Progression of Massive Random Electrical Discharges. Procedia Manufacturing. 5. 495–507. 37 indexed citations
9.
10.
Fu, C.H., J.F. Liu, & Andrew Guo. (2015). Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents. Applied Surface Science. 353. 291–299. 42 indexed citations
11.
Liu, J.F. & Y. B. Guo. (2015). Process Capability of Wire-EDM of NiTi Shape Memory Alloy at Main Cut and Trim Cut Modes. Procedia Manufacturing. 1. 904–914. 22 indexed citations
12.
Liu, J.F., L. Li, & Y. B. Guo. (2014). Surface integrity evolution from main cut mode to finish trim cut mode in W-EDM of shape memory alloy. Applied Surface Science. 308. 253–260. 44 indexed citations
13.
Liu, J.F., L. Li, & Y. B. Guo. (2014). Surface Integrity Evolution from Main Cut to Finish Trim Cut in W-EDM of Shape Memory Alloy. Procedia CIRP. 13. 137–142. 22 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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