Chien‐Lung Shen

11 total papers · 428 total citations
10 papers, 321 citations indexed

About

Chien‐Lung Shen is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine and Polymers and Plastics. According to data from OpenAlex, Chien‐Lung Shen has authored 10 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Polymers and Plastics. Recurrent topics in Chien‐Lung Shen's work include Advanced Sensor and Energy Harvesting Materials (5 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Interactive and Immersive Displays (2 papers). Chien‐Lung Shen is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (5 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Interactive and Immersive Displays (2 papers). Chien‐Lung Shen collaborates with scholars based in Taiwan, France and United States. Chien‐Lung Shen's co-authors include Ching‐Tang Huang, Shuo-Hung Chang, Xuyuan Tao, Vladan Končar, Kuo‐Sheng Chin, Chi‐Sheng Wu, Tzu-Hao Huang, Junlin Wang, Hao Su and Shuangyue Yu and has published in prestigious journals such as Gait & Posture, Sensors and Actuators A Physical and Advanced Materials Technologies.

In The Last Decade

Chien‐Lung Shen

10 papers receiving 315 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chien‐Lung Shen 267 116 69 52 33 10 321
Ching‐Tang Huang 251 0.9× 135 1.2× 52 0.8× 42 0.8× 21 0.6× 7 336
M. Pacelli 240 0.9× 66 0.6× 31 0.4× 53 1.0× 42 1.3× 14 313
Michael McKnight 211 0.8× 43 0.4× 79 1.1× 52 1.0× 32 1.0× 19 313
Lang Yin 242 0.9× 75 0.6× 57 0.8× 109 2.1× 28 0.8× 11 318
Talha Agcayazi 295 1.1× 108 0.9× 97 1.4× 77 1.5× 41 1.2× 23 353
Abreha Bayrau Nigusse 266 1.0× 153 1.3× 91 1.3× 55 1.1× 18 0.5× 13 318
Akshay Paul 237 0.9× 63 0.5× 75 1.1× 121 2.3× 15 0.5× 23 314
Amir Servati 237 0.9× 84 0.7× 72 1.0× 73 1.4× 26 0.8× 17 310
P.M. Schmitt 199 0.7× 52 0.4× 87 1.3× 24 0.5× 18 0.5× 5 325
Zhiran Shen 277 1.0× 98 0.8× 104 1.5× 107 2.1× 16 0.5× 7 307

Countries citing papers authored by Chien‐Lung Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Lung Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Lung Shen. 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 Chien‐Lung Shen. The network helps show where Chien‐Lung Shen may publish in the future.

Co-authorship network of co-authors of Chien‐Lung Shen

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026