Yi‐Chung Lin

2.5k total citations
74 papers, 1.9k citations indexed

About

Yi‐Chung Lin is a scholar working on Biomedical Engineering, Artificial Intelligence and Surgery. According to data from OpenAlex, Yi‐Chung Lin has authored 74 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 27 papers in Artificial Intelligence and 12 papers in Surgery. Recurrent topics in Yi‐Chung Lin's work include Muscle activation and electromyography studies (24 papers), Natural Language Processing Techniques (19 papers) and Lower Extremity Biomechanics and Pathologies (13 papers). Yi‐Chung Lin is often cited by papers focused on Muscle activation and electromyography studies (24 papers), Natural Language Processing Techniques (19 papers) and Lower Extremity Biomechanics and Pathologies (13 papers). Yi‐Chung Lin collaborates with scholars based in Australia, Taiwan and United States. Yi‐Chung Lin's co-authors include Marcus G. Pandy, Anthony G. Schache, Hyung Joo Kim, Adrian Lai, Benjamin J. Fregly, David C. Ackland, Jonathan P. Walter, Keh‐Yih Su, Tim W. Dorn and Glen A. Lichtwark and has published in prestigious journals such as Physical review. B, Condensed matter, Journal of Applied Physiology and International Journal of Molecular Sciences.

In The Last Decade

Yi‐Chung Lin

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi‐Chung Lin Australia 23 1.2k 544 499 261 237 74 1.9k
Jeffrey A. Reinbolt United States 18 820 0.7× 285 0.5× 414 0.8× 155 0.6× 179 0.8× 49 1.2k
Silvia Fantozzi Italy 24 1.1k 0.9× 807 1.5× 857 1.7× 408 1.6× 93 0.4× 87 2.4k
Sean T. Osis Canada 24 870 0.7× 515 0.9× 208 0.4× 206 0.8× 77 0.3× 40 1.2k
Apoorva Rajagopal United States 9 1.6k 1.3× 509 0.9× 466 0.9× 368 1.4× 269 1.1× 15 2.4k
Matthew Millard Germany 14 1.3k 1.0× 329 0.6× 187 0.4× 252 1.0× 205 0.9× 38 1.9k
Samuel R. Hamner United States 12 1.5k 1.2× 654 1.2× 278 0.6× 263 1.0× 207 0.9× 12 2.1k
Franck Barbier France 19 405 0.3× 264 0.5× 166 0.3× 344 1.3× 224 0.9× 83 1.1k
Luca Modenese United Kingdom 26 1.4k 1.1× 513 0.9× 895 1.8× 180 0.7× 292 1.2× 57 2.0k
Z. Sawacha Italy 22 806 0.7× 384 0.7× 292 0.6× 495 1.9× 304 1.3× 100 1.8k
Dylan Kobsar Canada 18 611 0.5× 291 0.5× 225 0.5× 334 1.3× 124 0.5× 47 1.1k

Countries citing papers authored by Yi‐Chung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Chung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi‐Chung 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 Yi‐Chung Lin. The network helps show where Yi‐Chung Lin may publish in the future.

Co-authorship network of co-authors of Yi‐Chung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Chung Lin. A scholar is included among the top collaborators of Yi‐Chung 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 Yi‐Chung Lin. Yi‐Chung Lin 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.
Usman, Muhammad, et al.. (2025). Classifying developmental delays with EEG: A comparative study of machine learning and deep learning approaches. Journal of Applied Biomedicine. 45(2). 229–246. 1 indexed citations
2.
Miramini, Saeed, Yi‐Chung Lin, Minoo Patel, et al.. (2022). Influence of muscle loading on early-stage bone fracture healing. Journal of the mechanical behavior of biomedical materials. 138. 105621–105621. 5 indexed citations
3.
Lee, Tsu‐Tian, et al.. (2019). Bipedal walking with push recovery balance control involves posture correction. Microsystem Technologies. 27(4). 1747–1758. 3 indexed citations
4.
Schache, Anthony G., Yi‐Chung Lin, Kay M. Crossley, & Marcus G. Pandy. (2018). Is Running Better than Walking for Reducing Hip Joint Loads?. Medicine & Science in Sports & Exercise. 50(11). 2301–2310. 8 indexed citations
5.
Crossley, Kay M., Marcus G. Pandy, Sharmila Majumdar, et al.. (2017). Femoroacetabular impingement and hip OsteoaRthritis Cohort (FORCe): protocol for a prospective study. Journal of physiotherapy. 64(1). 55–55. 34 indexed citations
6.
Lin, Yi‐Chung, et al.. (2017). Effects of step length and step frequency on lower-limb muscle function in human gait. Journal of Biomechanics. 57. 1–7. 60 indexed citations
7.
Lin, Yi‐Chung, et al.. (2016). A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation. International Conference on Computational Linguistics. 151–155. 11 indexed citations
8.
Sritharan, Prasanna, et al.. (2016). Musculoskeletal loading in the symptomatic and asymptomatic knees of middle‐aged osteoarthritis patients. Journal of Orthopaedic Research®. 35(2). 321–330. 21 indexed citations
9.
Fu, Tieh‐Cheng, Yi‐Chung Lin, Ching‐Mao Chang, et al.. (2016). Validation of a new simple scale to measure symptoms in heart failure from traditional Chinese medicine view: a cross-sectional questionnaire study. BMC Complementary and Alternative Medicine. 16(1). 342–342. 15 indexed citations
10.
Lin, Yi‐Chung, et al.. (2015). Explanation Generation for a Math Word Problem Solver. International Conference on Computational Linguistics. 20. 64–70. 7 indexed citations
11.
Lin, Yi‐Chung, et al.. (2015). Designing a Tag-Based Statistical Math Word Problem Solver with Reasoning and Explanation. International Conference on Computational Linguistics. 20(2). 58–63. 8 indexed citations
12.
Lin, Yi‐Chung, et al.. (2015). Direct Methods for Predicting Movement Biomechanics Based Upon Optimal Control Theory with Implementation in OpenSim. Annals of Biomedical Engineering. 44(8). 2542–2557. 54 indexed citations
13.
Lin, Yi‐Chung, Margit Gfoehler, & Marcus G. Pandy. (2014). Quantitative evaluation of the major determinants of human gait. Journal of Biomechanics. 47(6). 1324–1331. 41 indexed citations
14.
Sritharan, Prasanna, Yi‐Chung Lin, & Marcus G. Pandy. (2012). Muscles that do not cross the knee contribute to the knee adduction moment and tibiofemoral compartment loading during gait. Journal of Orthopaedic Research®. 30(10). 1586–1595. 60 indexed citations
15.
Lin, Yi‐Chung, et al.. (2012). Muscle function during gait is invariant to age when walking speed is controlled. Gait & Posture. 38(2). 253–259. 41 indexed citations
16.
Dorn, Tim W., Yi‐Chung Lin, & Marcus G. Pandy. (2011). Estimates of muscle function in human gait depend on how foot-ground contact is modelled. Computer Methods in Biomechanics & Biomedical Engineering. 15(6). 657–668. 56 indexed citations
17.
Lin, Yi‐Chung, Jonathan P. Walter, Scott A. Banks, Marcus G. Pandy, & Benjamin J. Fregly. (2009). Simultaneous prediction of muscle and contact forces in the knee during gait. Journal of Biomechanics. 43(5). 945–952. 122 indexed citations
18.
Lin, Yi‐Chung, et al.. (2000). Anomalous magnetization characteristics in the overdoped Bi2-xPbxSr2CaCu2O 8+δ single crystal. Chinese Journal of Physics. 38(2). 237–242. 1 indexed citations
19.
Chang, Jing-Shin, Yi‐Chung Lin, & Keh‐Yih Su. (1995). Automatic Construction of a Chinese Electronic Dictionary.. Meeting of the Association for Computational Linguistics. 11 indexed citations
20.
Su, Keh‐Yih, et al.. (1995). Robust learning, smoothing, and parameter tying on syntactic ambiguity resolution. Computational Linguistics. 21(3). 321–349. 9 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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