Lulu Sun

462 total citations
10 papers, 378 citations indexed

About

Lulu Sun is a scholar working on Mechanical Engineering, Materials Chemistry and Automotive Engineering. According to data from OpenAlex, Lulu Sun has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Materials Chemistry and 2 papers in Automotive Engineering. Recurrent topics in Lulu Sun's work include Shape Memory Alloy Transformations (3 papers), Metallic Glasses and Amorphous Alloys (3 papers) and High Entropy Alloys Studies (3 papers). Lulu Sun is often cited by papers focused on Shape Memory Alloy Transformations (3 papers), Metallic Glasses and Amorphous Alloys (3 papers) and High Entropy Alloys Studies (3 papers). Lulu Sun collaborates with scholars based in China and United States. Lulu Sun's co-authors include Shujie Pang, Haifei Li, Tao Zhang, Ying Liu, Peter K. Liaw, Ying Liu, Yan Li, Tao Zhang, Huaping Xiong and Ying Liu and has published in prestigious journals such as Journal of Alloys and Compounds, Scripta Materialia and Neural Computing and Applications.

In The Last Decade

Lulu Sun

10 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lulu Sun China	9	324	167	117	52	40	10	378
Shulin Xiang China	9	451 1.4×	319 1.9×	254 2.2×	31 0.6×	51 1.3×	16	526
Beáta Ballóková Slovakia	8	231 0.7×	116 0.7×	131 1.1×	71 1.4×	50 1.3×	40	342
Prem Prakash Seth India	7	259 0.8×	92 0.6×	65 0.6×	31 0.6×	54 1.4×	9	302
Jimiao Jiang China	14	268 0.8×	196 1.2×	281 2.4×	26 0.5×	43 1.1×	16	446
Sachin V. Muley United States	5	148 0.5×	104 0.6×	67 0.6×	38 0.7×	43 1.1×	8	224
D. V. Prosvirnin Russia	11	293 0.9×	252 1.5×	122 1.0×	21 0.4×	118 3.0×	71	380
S. A. Vorozhtsov Russia	14	389 1.2×	186 1.1×	87 0.7×	43 0.8×	65 1.6×	39	486
Jianwei Teng China	12	402 1.2×	164 1.0×	113 1.0×	26 0.5×	59 1.5×	28	450
Zhi Jia China	13	248 0.8×	201 1.2×	91 0.8×	46 0.9×	95 2.4×	36	353
Hongliang Xiang China	11	256 0.8×	154 0.9×	31 0.3×	46 0.9×	82 2.0×	49	348

Countries citing papers authored by Lulu Sun

Since Specialization

Citations

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

Fields of papers citing papers by Lulu Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lulu Sun

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

All Works

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10 of 10 papers shown

Ma, Jian, Xinyu Zou, Lulu Sun, et al.. (2022). A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model. Neural Computing and Applications. 35(4). 2947–2971. 3 indexed citations

Tao, Laifa, Lulu Sun, Yundi Wu, et al.. (2021). Multi-signal fusion diagnosis of gearbox based on minimum Bayesian risk reclassification and adaptive weighting. Measurement. 187. 110358–110358. 13 indexed citations

Zhan, Xiaohong, et al.. (2021). Effect of porosity morphology and elements characteristics on mechanical property in T-joints during dual laser-beam bilateral synchronous welding of 2060/2099 Al-Li alloys. Optics & Laser Technology. 140. 107019–107019. 24 indexed citations

Kang, Yue, et al.. (2020). Porosity-grain growth relationships in the laser beam deep penetration welding of 6061 aluminum alloy. Journal of Adhesion Science and Technology. 35(13). 1372–1392. 9 indexed citations

Wang, Zhimin, Lulu Sun, Wenchao Ke, et al.. (2020). Laser Oscillating Welding of TC31 High-Temperature Titanium Alloy. Metals. 10(9). 1185–1185. 15 indexed citations

Sun, Lulu, Shujie Pang, Ying Liu, Huaping Xiong, & Tao Zhang. (2017). A Ti–Zr–Cu–Ni–Co–Fe–Al–Sn amorphous filler metal for improving the strength of Ti–6Al–4V alloy brazing joint. Progress in Natural Science Materials International. 27(6). 687–694. 17 indexed citations

Fan, Jianglei, Chi Zhang, Shen Wu, et al.. (2017). Effect of Cr–Fe on friction and wear properties of Cu-based friction material. Materials Science and Technology. 34(7). 869–875. 27 indexed citations

Pang, Shujie, Lulu Sun, Huaping Xiong, et al.. (2016). A multicomponent TiZr-based amorphous brazing filler metal for high-strength joining of titanium alloy. Scripta Materialia. 117. 55–59. 50 indexed citations

Pang, Shujie, Ying Liu, Haifei Li, et al.. (2014). New Ti-based Ti–Cu–Zr–Fe–Sn–Si–Ag bulk metallic glass for biomedical applications. Journal of Alloys and Compounds. 625. 323–327. 74 indexed citations

10.

Li, Haifei, Shujie Pang, Ying Liu, et al.. (2014). Biodegradable Mg–Zn–Ca–Sr bulk metallic glasses with enhanced corrosion performance for biomedical applications. Materials & Design (1980-2015). 67. 9–19. 146 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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