Junyu Long

804 total citations · 1 hit paper
13 papers, 662 citations indexed

About

Junyu Long is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Junyu Long has authored 13 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Electrical and Electronic Engineering and 3 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Junyu Long's work include Electronic Packaging and Soldering Technologies (3 papers), 3D IC and TSV technologies (3 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Junyu Long is often cited by papers focused on Electronic Packaging and Soldering Technologies (3 papers), 3D IC and TSV technologies (3 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). Junyu Long collaborates with scholars based in China, Hong Kong and United States. Junyu Long's co-authors include Yun Chen, Ni Zhao, Xin Chen, Ching‐Ping Wong, Jian Gao, Yan Huang, Shuang Zhou, Maoxiang Hou, Yunbo He and Bin Xie and has published in prestigious journals such as Advanced Materials, Carbon and ACS Applied Materials & Interfaces.

In The Last Decade

Junyu Long

13 papers receiving 640 citations

Hit Papers

Interfacial Laser‐Induced Graphene Enabling High‐Performa... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junyu Long China 8 413 259 163 119 105 13 662
Michael J. Christoe Australia 11 474 1.1× 308 1.2× 152 0.9× 138 1.2× 83 0.8× 11 695
Chii-Rong Yang Taiwan 17 589 1.4× 456 1.8× 289 1.8× 192 1.6× 158 1.5× 55 981
Zachary J. Farrell United States 12 537 1.3× 302 1.2× 272 1.7× 132 1.1× 116 1.1× 19 838
Ruo‐Zhou Li China 15 553 1.3× 542 2.1× 167 1.0× 129 1.1× 242 2.3× 59 981
Daqiang Zhao China 11 384 0.9× 208 0.8× 235 1.4× 194 1.6× 171 1.6× 19 679
Kaiyan Huang China 12 398 1.0× 133 0.5× 174 1.1× 197 1.7× 85 0.8× 27 636
Kwang‐Seok Kim South Korea 17 297 0.7× 481 1.9× 162 1.0× 165 1.4× 107 1.0× 73 740
Jingwei Ai China 14 519 1.3× 229 0.9× 128 0.8× 107 0.9× 123 1.2× 19 739
Sejeong Won South Korea 15 422 1.0× 345 1.3× 327 2.0× 149 1.3× 116 1.1× 21 734
Hongyu Luo China 18 412 1.0× 429 1.7× 152 0.9× 141 1.2× 216 2.1× 43 1.1k

Countries citing papers authored by Junyu Long

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyu Long

This figure shows the co-authorship network connecting the top 25 collaborators of Junyu Long. A scholar is included among the top collaborators of Junyu Long 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 Junyu Long. Junyu Long 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
2.
Chen, Yun, Junyu Long, Bin Xie, et al.. (2022). One-Step Ultraviolet Laser-Induced Fluorine-Doped Graphene Achieving Superhydrophobic Properties and Its Application in Deicing. ACS Applied Materials & Interfaces. 14(3). 4647–4655. 78 indexed citations
3.
Li, Yihao, Junyu Long, Yun Chen, Yan Huang, & Ni Zhao. (2022). Crosstalk‐Free, High‐Resolution Pressure Sensor Arrays Enabled by High‐Throughput Laser Manufacturing. Advanced Materials. 34(21). e2200517–e2200517. 98 indexed citations
4.
Hou, Maoxiang, et al.. (2022). Machine learning enables accurate wire loop profile prediction for advanced microelectronics packaging. Journal of Manufacturing Processes. 84. 394–402. 5 indexed citations
5.
Chen, Yun, Bin Xie, Junyu Long, et al.. (2021). Interfacial Laser‐Induced Graphene Enabling High‐Performance Liquid−Solid Triboelectric Nanogenerator. Advanced Materials. 33(44). e2104290–e2104290. 247 indexed citations breakdown →
6.
Chen, Yun, Junyu Long, Dachuang Shi, et al.. (2021). Achieving a sub-10 nm nanopore array in silicon by metal-assisted chemical etching and machine learning. International Journal of Extreme Manufacturing. 3(3). 35104–35104. 39 indexed citations
7.
9.
Long, Junyu, Yun Chen, Maoxiang Hou, et al.. (2021). Machine Learning based Prediction of Wire Bonding Profile in 3D stacked integrated microelectronic packaging. 1–4. 2 indexed citations
10.
Chen, Yun, Junyu Long, Maoxiang Hou, et al.. (2020). Rationally Designing the Trace of Wire Bonder Head for Large-Span-Ratio Wire Bonding in 3D Stacked Packaging. IEEE Access. 8. 206571–206580. 5 indexed citations
11.
Chen, Yun, Junyu Long, Shuang Zhou, et al.. (2019). UV Laser‐Induced Polyimide‐to‐Graphene Conversion: Modeling, Fabrication, and Application. Small Methods. 3(10). 132 indexed citations
12.
Myers, Raymond R. & Junyu Long. (1969). Characterization of coatings: physical techniques. Marcel Dekker eBooks. 7 indexed citations
13.
Myers, Raymond R. & Junyu Long. (1967). Treatise on coatings. M. Dekker eBooks. 32 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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