Juncheng Lu

1.4k total citations
47 papers, 1.1k citations indexed

About

Juncheng Lu is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics and Automotive Engineering. According to data from OpenAlex, Juncheng Lu has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 19 papers in Condensed Matter Physics and 7 papers in Automotive Engineering. Recurrent topics in Juncheng Lu's work include Silicon Carbide Semiconductor Technologies (31 papers), Advanced DC-DC Converters (28 papers) and GaN-based semiconductor devices and materials (19 papers). Juncheng Lu is often cited by papers focused on Silicon Carbide Semiconductor Technologies (31 papers), Advanced DC-DC Converters (28 papers) and GaN-based semiconductor devices and materials (19 papers). Juncheng Lu collaborates with scholars based in United States, China and Canada. Juncheng Lu's co-authors include Hua Bai, Ruoyu Hou, Di Chen, Matt McAmmond, Alan Brown, Allan Taylor, Guanliang Liu, Di Chen, Chengjun Guo and Tian Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Power Electronics and Energy Conversion and Management.

In The Last Decade

Juncheng Lu

43 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juncheng Lu United States 19 963 350 201 104 56 47 1.1k
Enes Uğur United States 18 1.0k 1.1× 77 0.2× 295 1.5× 137 1.3× 51 0.9× 39 1.2k
D. Gacio Spain 20 1.3k 1.4× 481 1.4× 240 1.2× 160 1.5× 155 2.8× 51 1.5k
Dimosthenis Peftitsis Norway 25 2.1k 2.2× 101 0.3× 113 0.6× 200 1.9× 140 2.5× 117 2.2k
M. S. Perdigão Portugal 18 1.0k 1.1× 118 0.3× 178 0.9× 116 1.1× 248 4.4× 87 1.1k
R. Osorio Mexico 13 740 0.8× 156 0.4× 75 0.4× 217 2.1× 69 1.2× 64 826
Masayoshi Yamamoto Japan 23 1.5k 1.6× 144 0.4× 304 1.5× 194 1.9× 281 5.0× 196 1.6k
Xueshan Liu China 18 600 0.6× 250 0.7× 80 0.4× 150 1.4× 57 1.0× 50 793
Di Han United States 24 2.0k 2.1× 175 0.5× 231 1.1× 348 3.3× 185 3.3× 68 2.1k
Christopher Barth United States 18 1.3k 1.4× 84 0.2× 180 0.9× 279 2.7× 83 1.5× 26 1.4k
Stanley Atcitty United States 14 862 0.9× 82 0.2× 88 0.4× 544 5.2× 25 0.4× 66 956

Countries citing papers authored by Juncheng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Juncheng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juncheng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Juncheng Lu. A scholar is included among the top collaborators of Juncheng Lu 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 Juncheng Lu. Juncheng Lu 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.
Liu, Cheng, et al.. (2025). College student mental health assessment: Predictive models based on machine learning and feature importance analysis. Molecular & cellular biomechanics. 22(3). 1477–1477.
2.
Lu, Yifan, Min Zhang, Juncheng Lu, et al.. (2025). Study on breakout detection in fast drilling EDM of film cooling holes based on acoustic signals. Procedia CIRP. 137. 140–145.
3.
Zurbriggen, Ignacio Galiano, et al.. (2025). Comprehensive System-Level Thermal Performance and Power Density Optimization in Enclosed Natural Convection PFC-LLC GaN Converters. IEEE Transactions on Industry Applications. 61(2). 3371–3383. 1 indexed citations
4.
Wu, Zeyu, et al.. (2025). Recast Layer-Induced Fatigue Degradation in High-Speed EDM Microholes: Experimental Characterization. Materials. 18(9). 1985–1985. 1 indexed citations
5.
Lu, Juncheng, et al.. (2022). Next Generation of GaN Single-Board High Power Stages. 126. 233–237.
6.
Kou, Lei & Juncheng Lu. (2020). Applying GaN HEMTs in Conventional Housing-Type Power Modules. 4006–4011. 20 indexed citations
7.
Hou, Ruoyu, et al.. (2020). Power Loss Characterization and Modeling for GaN-Based Hard-Switching Half-Bridges Considering Dynamic on-State Resistance. IEEE Transactions on Transportation Electrification. 6(2). 540–553. 55 indexed citations
8.
Hou, Ruoyu & Juncheng Lu. (2019). The Effect of Dynamic On-State Resistance to System Losses in GaN-based Hard-Switching Applications. 1–7. 11 indexed citations
9.
Guo, Chengjun, et al.. (2019). Optimization of critical parameters of PEM fuel cell using TLBO-DE based on Elman neural network. Energy Conversion and Management. 183. 149–158. 108 indexed citations
10.
Qian, Wei, et al.. (2018). Hard-Switching 650-V GaN HEMTs in an 800-V DC-Grid System With No-Diode-Clamping Active-Balancing Three-Level Topology. IEEE Journal of Emerging and Selected Topics in Power Electronics. 7(2). 1060–1070. 29 indexed citations
11.
Lu, Juncheng, Liyan Zhu, Guanliang Liu, & Hua Bai. (2018). Device and System-Level Transient Analysis in a Modular Designed Sub-MW EV Fast Charging Station Using Hybrid GaN HEMTs + Si MOSFETs. IEEE Journal of Emerging and Selected Topics in Power Electronics. 7(1). 143–156. 22 indexed citations
12.
Lu, Juncheng, Yajie Qiu, & Di Chen. (2018). A full power emulation platform for evaluating power semiconductors. 2861–2867. 7 indexed citations
13.
Hou, Ruoyu, Juncheng Lu, & Di Chen. (2018). Parasitic capacitance Eqoss loss mechanism, calculation, and measurement in hard-switching for GaN HEMTs. 919–924. 83 indexed citations
14.
Lu, Juncheng, Ruoyu Hou, & Di Chen. (2018). Loss Distribution among Paralleled GaN HEMTs. 1914–1919. 16 indexed citations
15.
Taylor, Allan, Juncheng Lu, Liyan Zhu, et al.. (2018). Comparison of SiC MOSFET‐based and GaN HEMT‐based high‐efficiency high‐power‐density 7.2 kW EV battery chargers. IET Power Electronics. 11(11). 1849–1857. 57 indexed citations
16.
Bai, Hua, Alan Brown, Matt McAmmond, & Juncheng Lu. (2017). A Modular Designed Three-phase ~98%-Efficiency 5kW/L On-board Fast Charger for Electric Vehicles Using Paralleled E-mode GaN HEMTs. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
17.
Lu, Juncheng, Hua Bai, Allan Taylor, et al.. (2017). A Modular-Designed Three-Phase High-Efficiency High-Power-Density EV Battery Charger Using Dual/Triple-Phase-Shift Control. IEEE Transactions on Power Electronics. 33(9). 8091–8100. 133 indexed citations
18.
19.
Lu, Juncheng, et al.. (2016). AN EQUIVALENT MECHANICAL MODEL FOR LIQUID SLOSHING ON SPACECRAFT. 48(2). 75–81. 1 indexed citations
20.
Yin, Aijun, et al.. (2016). Isomap and Deep Belief Network-Based Machine Health Combined Assessment Model. Strojniški vestnik – Journal of Mechanical Engineering. 62(12). 740–750. 15 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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