Suman Timilsina

653 total citations
24 papers, 558 citations indexed

About

Suman Timilsina is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Suman Timilsina has authored 24 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Suman Timilsina's work include Acoustic Wave Resonator Technologies (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Luminescence Properties of Advanced Materials (4 papers). Suman Timilsina is often cited by papers focused on Acoustic Wave Resonator Technologies (8 papers), Advanced Sensor and Energy Harvesting Materials (8 papers) and Luminescence Properties of Advanced Materials (4 papers). Suman Timilsina collaborates with scholars based in South Korea and Germany. Suman Timilsina's co-authors include Ji Sik Kim, Kee‐Sun Sohn, Kwang Ho Lee, Satendra Pal Singh, Jin-Woong Lee, Woon Bae Park, Taekjib Choi, Min-Young Cho, Gi‐Woo Kim and Yong Nam Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Scientific Reports.

In The Last Decade

Suman Timilsina

23 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suman Timilsina South Korea 13 335 242 166 64 64 24 558
Yangchengyi Liu China 14 561 1.7× 101 0.4× 215 1.3× 117 1.8× 132 2.1× 22 762
Weibing Gu China 17 417 1.2× 245 1.0× 483 2.9× 23 0.4× 53 0.8× 35 779
Huangping Yan China 14 233 0.7× 163 0.7× 219 1.3× 93 1.5× 18 0.3× 50 558
Junyu Long China 8 413 1.2× 163 0.7× 259 1.6× 23 0.4× 82 1.3× 13 662
Kun Xing China 14 225 0.7× 160 0.7× 189 1.1× 54 0.8× 47 0.7× 44 565
Ruzhan Qin China 9 494 1.5× 363 1.5× 342 2.1× 12 0.2× 86 1.3× 12 751
Han Yan China 9 360 1.1× 90 0.4× 168 1.0× 27 0.4× 92 1.4× 22 445
Long He China 7 390 1.2× 262 1.1× 224 1.3× 16 0.3× 52 0.8× 27 657
Qingsong He China 20 643 1.9× 210 0.9× 74 0.4× 73 1.1× 28 0.4× 46 816

Countries citing papers authored by Suman Timilsina

Since Specialization
Citations

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

Fields of papers citing papers by Suman Timilsina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Timilsina

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Timilsina. A scholar is included among the top collaborators of Suman Timilsina 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 Suman Timilsina. Suman Timilsina 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
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Lee, Seung Hwan, et al.. (2023). Diagnosis of Mechanoluminescent Crack Based on Double Deep Learning in Al 7075. Korean Journal of Metals and Materials. 61(12). 958–964. 1 indexed citations
4.
Timilsina, Suman, et al.. (2023). Identification of Location and Geometry of Invisible Internal Defects in Structures using Deep Learning and Surface Deformation Field. SHILAP Revista de lepidopterología. 5(12). 5 indexed citations
5.
Timilsina, Suman, Seong-Hoon Kim, Kee‐Sun Sohn, et al.. (2022). In situ health monitoring of multiscale structures and its instantaneous verification using mechanoluminescence and dual machine learning. iScience. 26(1). 105758–105758. 10 indexed citations
6.
Timilsina, Suman, et al.. (2022). Improving the Sensitivity of the Mechanoluminescence Composite through Functionalization for Structural Health Monitoring. ACS Applied Materials & Interfaces. 14(26). 30205–30215. 30 indexed citations
7.
Timilsina, Suman, et al.. (2022). Dark‐Mode Human–Machine Communication Realized by Persistent Luminescence and Deep Learning. SHILAP Revista de lepidopterología. 4(7). 5 indexed citations
8.
Timilsina, Suman, et al.. (2022). Digital Image Correlation Compatible Mechanoluminescent Skin for Structural Health Monitoring. Advanced Science. 9(11). e2105889–e2105889. 33 indexed citations
9.
Cho, Minyoung, et al.. (2021). Ultraviolet Light-Responsive Photorheological Fluid for Sensors and Actuators Realized by Phosphorescence Effects and LSTM RNN. Korean Journal of Metals and Materials. 59(5). 346–353. 2 indexed citations
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Cho, Min-Young, et al.. (2019). An Extremely Inexpensive, Simple, and Flexible Carbon Fiber Electrode for Tunable Elastomeric Piezo-Resistive Sensors and Devices Realized by LSTM RNN. ACS Applied Materials & Interfaces. 11(12). 11910–11919. 19 indexed citations
12.
Lee, Jin-Woong, Jiyong Chung, Min-Young Cho, et al.. (2018). Deep-Learning Technique To Convert a Crude Piezoresistive Carbon Nanotube-Ecoflex Composite Sheet into a Smart, Portable, Disposable, and Extremely Flexible Keypad. ACS Applied Materials & Interfaces. 10(24). 20862–20868. 23 indexed citations
13.
Sohn, Kee‐Sun, Jiyong Chung, Min-Young Cho, et al.. (2017). An extremely simple macroscale electronic skin realized by deep machine learning. Scientific Reports. 7(1). 11061–11061. 50 indexed citations
14.
Lee, Jin-Woong, Suman Timilsina, Gi‐Woo Kim, & Ji Sik Kim. (2016). A new strategy for novel binder discovery in nano and μ powder injection molding: A metaheuristics-assisted virtual combinatorial materials search. Powder Technology. 302. 187–195. 9 indexed citations
15.
Sohn, Kee‐Sun, Suman Timilsina, Satendra Pal Singh, Taekjib Choi, & Ji Sik Kim. (2016). Mechanically driven luminescence in a ZnS:Cu-PDMS composite. APL Materials. 4(10). 66 indexed citations
16.
Sohn, Kee‐Sun, Suman Timilsina, Satendra Pal Singh, Jin-Woong Lee, & Ji Sik Kim. (2016). A Mechanoluminescent ZnS:Cu/Rhodamine/SiO2/PDMS and Piezoresistive CNT/PDMS Hybrid Sensor: Red-Light Emission and a Standardized Strain Quantification. ACS Applied Materials & Interfaces. 8(50). 34777–34783. 53 indexed citations
17.
Timilsina, Suman, Kwang Ho Lee, Yong Nam Kwon, & Ji Sik Kim. (2015). Optical Evaluation of In Situ Crack Propagation by Using Mechanoluminescence of SrAl 2 O 4 :Eu 2+ , Dy 3+. Journal of the American Ceramic Society. 98(7). 2197–2204. 42 indexed citations
18.
Sohn, Kee‐Sun, Woon Bae Park, Suman Timilsina, & Ji Sik Kim. (2014). Mechanoluminescence of SrAl_2O_4:Eu^2+, Dy^3+ under cyclic loading. Optics Letters. 39(6). 1410–1410. 41 indexed citations
19.
Timilsina, Suman, et al.. (2013). Mechanoluminescent determination of the mode I stress intensity factor in SrAl2O4:Eu2+,Dy3+. Acta Materialia. 61(19). 7197–7206. 60 indexed citations
20.
Timilsina, Suman, et al.. (2012). Quantitative Analysis of Mechano-luminescence and Its Mechanism in SAO. Transactions of Materials Processing. 21(4). 246–251. 2 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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