Chiang-Lung Lin

621 total citations
8 papers, 496 citations indexed

About

Chiang-Lung Lin is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, Chiang-Lung Lin has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mechanical Engineering, 4 papers in Electrical and Electronic Engineering and 1 paper in Civil and Structural Engineering. Recurrent topics in Chiang-Lung Lin's work include Advanced machining processes and optimization (3 papers), Advanced Machining and Optimization Techniques (3 papers) and Mechanical Engineering and Vibrations Research (2 papers). Chiang-Lung Lin is often cited by papers focused on Advanced machining processes and optimization (3 papers), Advanced Machining and Optimization Techniques (3 papers) and Mechanical Engineering and Vibrations Research (2 papers). Chiang-Lung Lin collaborates with scholars based in Taiwan and China. Chiang-Lung Lin's co-authors include Jiang Lin, Cheng‐Fu Yang, Fang-Hsing Wang, Jung-Chou Hung, Chao-Ming Hsu, Chang Hong Lin, Hongmei Dai, Bo‐Hao Chen, Hsien‐Wei Tseng and Jinyu Chen and has published in prestigious journals such as Journal of Materials Processing Technology, Journal of Materials Research and Technology and Materials and Manufacturing Processes.

In The Last Decade

Chiang-Lung Lin

5 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chiang-Lung Lin Taiwan	4	341	272	143	101	51	8	496
Chorng‐Jyh Tzeng Taiwan	6	370 1.1×	249 0.9×	137 1.0×	108 1.1×	26 0.5×	9	454
Robson Bruno Dutra Pereira Brazil	13	398 1.2×	219 0.8×	162 1.1×	108 1.1×	51 1.0×	46	488
B. Singaravel India	15	534 1.6×	419 1.5×	238 1.7×	123 1.2×	44 0.9×	47	625
K.S. Wang Taiwan	9	203 0.6×	210 0.8×	88 0.6×	64 0.6×	39 0.8×	12	460
Jalumedi Babu India	10	312 0.9×	179 0.7×	147 1.0×	60 0.6×	46 0.9×	39	420
A. Naveen Sait India	14	413 1.2×	162 0.6×	94 0.7×	109 1.1×	76 1.5×	32	522
Aykut Kentli Türkiye	12	339 1.0×	145 0.5×	167 1.2×	56 0.6×	131 2.6×	37	511
Himadri Majumder India	13	474 1.4×	433 1.6×	223 1.6×	95 0.9×	90 1.8×	44	625
N. Arunkumar India	14	334 1.0×	123 0.5×	151 1.1×	52 0.5×	92 1.8×	54	560
Swastik Pradhan India	11	479 1.4×	226 0.8×	203 1.4×	57 0.6×	72 1.4×	47	622

Countries citing papers authored by Chiang-Lung Lin

Since Specialization

Citations

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

Fields of papers citing papers by Chiang-Lung Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiang-Lung Lin. 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 Chiang-Lung Lin. The network helps show where Chiang-Lung Lin may publish in the future.

Co-authorship network of co-authors of Chiang-Lung Lin

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

All Works

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8 of 8 papers shown

Dai, Hongmei, Bo‐Hao Chen, Chao-Ming Hsu, et al.. (2024). Use of Finite Element Method Software to Assess the Safety of a Newly Designed Electric Motorcycle Frame. Sensors and Materials. 36(3). 1163–1163.

Dai, Hongmei, Bo‐Hao Chen, Chao-Ming Hsu, Chiang-Lung Lin, & Cheng‐Fu Yang. (2023). Analyses of Full-load, Modal, and Fatigue Life of Electric Motorcycle Frame Using Finite Element Software ANSYS. Sensors and Materials. 35(8). 2817–2817. 1 indexed citations

Yang, Cheng‐Fu, et al.. (2022). Misleading Video Detection Using Deep Image Retrieval and Dual-stage Confidence Filtering. Sensors and Materials. 34(5). 1747–1747. 1 indexed citations

Chen, Jinyu, et al.. (2022). Using Overall Transfer Matrix to Simulate a Blue-light Bragg Reflector with Optimization Properties. Sensors and Materials. 34(5). 1721–1721.

Lin, Chiang-Lung, et al.. (2021). Optimization of electrical discharge machining processing for ceramics using grey-taguchi system. Modern Physics Letters B. 35(29). 5 indexed citations

Lin, Chiang-Lung, et al.. (2020). Effects of different annealing temperatures on the physical, optical, and electrical characteristics and chemical bonds of Ga and F Co-doped ZnO films. Journal of Materials Research and Technology. 9(3). 6331–6342. 28 indexed citations

Lin, Jiang & Chiang-Lung Lin. (2005). The use of grey-fuzzy logic for the optimization of the manufacturing process. Journal of Materials Processing Technology. 160(1). 9–14. 164 indexed citations

Lin, Chiang-Lung. (2004). Use of the Taguchi Method and Grey Relational Analysis to Optimize Turning Operations with Multiple Performance Characteristics. Materials and Manufacturing Processes. 19(2). 209–220. 297 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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