Daniel Lai

4.0k total citations · 2 hit papers
110 papers, 3.0k citations indexed

About

Daniel Lai is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Physical Therapy, Sports Therapy and Rehabilitation. According to data from OpenAlex, Daniel Lai has authored 110 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Biomedical Engineering, 25 papers in Electrical and Electronic Engineering and 24 papers in Physical Therapy, Sports Therapy and Rehabilitation. Recurrent topics in Daniel Lai's work include Wireless Body Area Networks (26 papers), Balance, Gait, and Falls Prevention (24 papers) and Diabetic Foot Ulcer Assessment and Management (19 papers). Daniel Lai is often cited by papers focused on Wireless Body Area Networks (26 papers), Balance, Gait, and Falls Prevention (24 papers) and Diabetic Foot Ulcer Assessment and Management (19 papers). Daniel Lai collaborates with scholars based in Australia, United States and China. Daniel Lai's co-authors include Rezaul Begg, Behailu Kibret, Marimuthu Palaniswami, Shu Gong, Wenlong Cheng, Lim Wei Yap, MirHojjat Seyedi, M. Faulkner, Kae Jye and Pengzhen Guo and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Daniel Lai

103 papers receiving 2.9k citations

Hit Papers

Highly Stretchy Black Gold E‐Skin Nanopatches as Highly S... 2015 2026 2018 2022 2015 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Lai Australia 26 2.3k 725 553 520 324 110 3.0k
Tao Liu China 33 2.6k 1.1× 557 0.8× 190 0.3× 307 0.6× 768 2.4× 260 4.4k
Shyamal Patel United States 22 1.6k 0.7× 453 0.6× 147 0.3× 324 0.6× 428 1.3× 63 3.2k
Long Liu China 24 1.4k 0.6× 653 0.9× 432 0.8× 383 0.7× 84 0.3× 80 2.5k
Hyung Park South Korea 12 1.2k 0.5× 274 0.4× 144 0.3× 193 0.4× 125 0.4× 36 2.2k
Calogero Maria Oddo Italy 31 2.8k 1.2× 1.1k 1.5× 134 0.2× 1.4k 2.7× 129 0.4× 113 4.5k
G.M. Lyons Ireland 28 2.4k 1.1× 695 1.0× 88 0.2× 327 0.6× 757 2.3× 56 3.9k
Anselmo Frizera Brazil 48 2.5k 1.1× 3.8k 5.2× 112 0.2× 549 1.1× 257 0.8× 291 6.4k
Silvia Conforto Italy 33 1.7k 0.7× 238 0.3× 103 0.2× 820 1.6× 520 1.6× 206 3.2k
Mingming Zhang China 30 1.4k 0.6× 593 0.8× 213 0.4× 315 0.6× 33 0.1× 224 3.4k

Countries citing papers authored by Daniel Lai

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lai. A scholar is included among the top collaborators of Daniel Lai 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 Daniel Lai. Daniel Lai 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.
Yin, Hong, et al.. (2024). Quantum Yield Enhancement of Carbon Quantum Dots Using Chemical-Free Precursors for Sensing Cr (VI) Ions. Inorganics. 12(4). 96–96. 14 indexed citations
2.
Lai, Daniel, et al.. (2024). Survey of Autonomous Drone Hangars – Opportunities and Challenges for Maritime Platforms. 2. 81–73. 1 indexed citations
5.
Jelinek, Raz, Tian Zhang, Ivan Cole, et al.. (2023). A Green Synthesis Route to Derive Carbon Quantum Dots for Bioimaging Cancer Cells. Nanomaterials. 13(14). 2103–2103. 26 indexed citations
6.
Truskewycz, Adam, Hong Yin, Nils Halberg, et al.. (2022). Carbon Dot Therapeutic Platforms: Administration, Distribution, Metabolism, Excretion, Toxicity, and Therapeutic Potential. Small. 18(16). e2106342–e2106342. 176 indexed citations breakdown →
7.
kian, azadeh, et al.. (2022). Application of Wearable Sensors in Actuation and Control of Powered Ankle Exoskeletons: A Comprehensive Review. Sensors. 22(6). 2244–2244. 10 indexed citations
8.
Wang, Kaixuan, Fenge Lin, Daniel Lai, et al.. (2021). Soft gold nanowire sponge antenna for battery-free wireless pressure sensors. Nanoscale. 13(7). 3957–3966. 23 indexed citations
9.
Truskewycz, Adam, Ahmed Al Saedi, Paul Joseph, et al.. (2020). Bioimaging of C2C12 Muscle Myoblasts Using Fluorescent Carbon Quantum Dots Synthesized from Bread. Nanomaterials. 10(8). 1575–1575. 5 indexed citations
10.
Lai, Daniel, et al.. (2020). Lower Limb Kinematics Trajectory Prediction Using Long Short-Term Memory Neural Networks. Frontiers in Bioengineering and Biotechnology. 8. 362–362. 45 indexed citations
11.
Sparrow, W. A., et al.. (2016). Non-MTC gait cycles: An adaptive toe trajectory control strategy in older adults. Gait & Posture. 53. 73–79. 14 indexed citations
12.
Seyedi, MirHojjat & Daniel Lai. (2014). Effect of limb joints and limb movement on intrabody communications for body area Network applications. Victoria University Research Repository (Victoria University). 6 indexed citations
13.
Lai, Daniel, et al.. (2011). Estimation of end point foot clearance points from inertial sensor data. PubMed. 2010. 6503–6506. 8 indexed citations
14.
Lai, Daniel, Simon Taylor, & Rezaul Begg. (2010). Prediction of foot clearance parameters as a precursor to forecasting the risk of tripping and falling. Human Movement Science. 31(2). 271–283. 44 indexed citations
15.
Lai, Daniel, et al.. (2009). A machine learning approach to k-step look-ahead prediction of gait variables from acceleration data. PubMed. 2009. 284–387. 5 indexed citations
16.
Lai, Daniel, et al.. (2009). A study on band-pass filtering for calculating foot displacements from accelerometer and gyroscope sensors. PubMed. 2009. 4824–4827. 8 indexed citations
17.
Lai, Daniel, Rezaul Begg, & Marimuthu Palaniswami. (2009). Computational Intelligence in Gait Research: A Perspective on Current Applications and Future Challenges. IEEE Transactions on Information Technology in Biomedicine. 13(5). 687–702. 104 indexed citations
19.
Lai, Daniel, Rezaul Begg, Simon Taylor, & Marimuthu Palaniswami. (2008). Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines. Journal of Biomechanics. 41(8). 1762–1772. 33 indexed citations
20.
Lai, Daniel, Pazit Levinger, Rezaul Begg, Wendy Gilleard, & Marimuthu Palaniswami. (2007). Identification of patellofemoral pain syndrome using a Support Vector Machine approach. Conference proceedings. 2007. 3144–3147. 11 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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