Win Tun Latt

1.0k total citations
40 papers, 817 citations indexed

About

Win Tun Latt is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Win Tun Latt has authored 40 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 9 papers in Cellular and Molecular Neuroscience and 9 papers in Control and Systems Engineering. Recurrent topics in Win Tun Latt's work include Neuroscience and Neural Engineering (9 papers), Piezoelectric Actuators and Control (9 papers) and Neurological disorders and treatments (7 papers). Win Tun Latt is often cited by papers focused on Neuroscience and Neural Engineering (9 papers), Piezoelectric Actuators and Control (9 papers) and Neurological disorders and treatments (7 papers). Win Tun Latt collaborates with scholars based in Singapore, United Kingdom and United States. Win Tun Latt's co-authors include Wei Tech Ang, U-Xuan Tan, Cheng Yap Shee, Kalyana C. Veluvolu, Cameron N. Riviere, Zenan Wang, Ferdinan Widjaja, Chen Feng, Guang‐Zhong Yang and Christopher J. Payne and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Sensors and Sensors and Actuators A Physical.

In The Last Decade

Win Tun Latt

40 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Win Tun Latt Singapore 16 351 220 154 136 115 40 817
Cheng Yap Shee Singapore 13 247 0.7× 265 1.2× 154 1.0× 133 1.0× 120 1.0× 52 695
Michele Basso Italy 15 199 0.6× 175 0.8× 83 0.5× 33 0.2× 183 1.6× 83 1.2k
Sungwook Yang South Korea 19 555 1.6× 90 0.4× 103 0.7× 32 0.2× 60 0.5× 65 1.1k
Marcin Balicki United States 19 1.1k 3.1× 97 0.4× 61 0.4× 108 0.8× 37 0.3× 34 1.5k
Jin‐Chern Chiou Taiwan 23 605 1.7× 331 1.5× 276 1.8× 57 0.4× 140 1.2× 164 1.8k
Robert A. MacLachlan United States 19 516 1.5× 142 0.6× 78 0.5× 77 0.6× 11 0.1× 51 1.1k
Zhidong Wang Japan 20 807 2.3× 293 1.3× 66 0.4× 18 0.1× 135 1.2× 109 1.4k
Michael D. Naish Canada 21 864 2.5× 132 0.6× 132 0.9× 208 1.5× 14 0.1× 101 1.3k
Evangelos Eleftheriou United States 6 155 0.4× 745 3.4× 36 0.2× 288 2.1× 422 3.7× 9 1.3k
Ali Kafash Hoshiar Iran 15 852 2.4× 85 0.4× 46 0.3× 40 0.3× 106 0.9× 48 1.1k

Countries citing papers authored by Win Tun Latt

Since Specialization
Citations

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

Fields of papers citing papers by Win Tun Latt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Win Tun Latt. 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 Win Tun Latt. The network helps show where Win Tun Latt may publish in the future.

Co-authorship network of co-authors of Win Tun Latt

This figure shows the co-authorship network connecting the top 25 collaborators of Win Tun Latt. A scholar is included among the top collaborators of Win Tun Latt 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 Win Tun Latt. Win Tun Latt 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.
Wang, Zenan, et al.. (2016). Autofocusing and Polar Body Detection in Automated Cell Manipulation. IEEE Transactions on Biomedical Engineering. 64(5). 1099–1105. 46 indexed citations
2.
Latt, Win Tun, et al.. (2014). Towards an Upper-limb Exoskeleton System for Assistance in Activities of Daily Living (ADLs). 12. 5 indexed citations
3.
Tatinati, Sivanagaraja, et al.. (2013). Physiological Tremor Estimation With Autoregressive (AR) Model and Kalman Filter for Robotics Applications. IEEE Sensors Journal. 13(12). 4977–4985. 31 indexed citations
4.
Latt, Win Tun, et al.. (2012). A hand-held instrument for in vivo probe-based confocal laser endomicroscopy during Minimally Invasive Surgery. PubMed. 2012. 1982–1987. 13 indexed citations
5.
Latt, Win Tun, Richard C. Newton, Marco Visentini-Scarzanella, et al.. (2011). A Hand-held Instrument to Maintain Steady Tissue Contact during Probe-Based Confocal Laser Endomicroscopy. IEEE Transactions on Biomedical Engineering. 58(9). 2694–2703. 53 indexed citations
6.
Latt, Win Tun, et al.. (2011). Transfer Function Compensation in Gyroscope-Free Inertial Measurement Units for Accurate Angular Motion Sensing. IEEE Sensors Journal. 12(5). 1207–1208. 3 indexed citations
7.
Latt, Win Tun, et al.. (2011). A micro motion sensing system for micromanipulation tasks. Sensors and Actuators A Physical. 173(1). 254–266. 9 indexed citations
8.
Latt, Win Tun, U-Xuan Tan, Cameron N. Riviere, & Wei Tech Ang. (2011). Placement of accelerometers for high sensing resolution in micromanipulation. Sensors and Actuators A Physical. 167(2). 304–316. 18 indexed citations
9.
Tan, U-Xuan, et al.. (2009). Feedforward Controller of Ill-Conditioned Hysteresis Using Singularity-Free Prandtl–Ishlinskii Model. IEEE/ASME Transactions on Mechatronics. 14(5). 598–605. 72 indexed citations
10.
Latt, Win Tun, U-Xuan Tan, Cheng Yap Shee, Cameron N. Riviere, & Wei Tech Ang. (2009). Compact Sensing Design of a Handheld Active Tremor Compensation Instrument. IEEE Sensors Journal. 9(12). 1864–1871. 30 indexed citations
11.
Latt, Win Tun, Cheng Yap Shee, Eileen Lee Ming Su, et al.. (2009). Influence of visual feedback and speed on micromanipulation accuracy. PubMed. 45. 1188–1191. 2 indexed citations
12.
Latt, Win Tun, U-Xuan Tan, Ferdinan Widjaja, & W.T. Ang. (2009). Placement of accelerometers in a hand-held active tremor compensation instrument for high angular sensing resolution. 2. 263–268. 2 indexed citations
13.
Latt, Win Tun, U-Xuan Tan, Kalyana C. Veluvolu, Cheng Yap Shee, & W.T. Ang. (2009). Physiological tremor sensing using only accelerometers for real-time compensation. 474–479. 15 indexed citations
14.
Latt, Win Tun, U-Xuan Tan, Cheng Yap Shee, & Wei Tech Ang. (2009). A compact hand-held active physiological tremor compensation instrument. 711–716. 37 indexed citations
15.
Latt, Win Tun, U-Xuan Tan, Ferdinan Widjaja, et al.. (2008). A study of a hand-held instrument's angular motion due to physiological tremor in micromanipulation tasks. PubMed. 2. 1952–1955. 6 indexed citations
16.
Latt, Win Tun, et al.. (2008). Design and implementation of a two degree-of-freedom micromanipulation assessment system. PubMed. 30. 5640–5643. 1 indexed citations
17.
Tan, U-Xuan, et al.. (2008). Estimating Displacement of Periodic Motion With Inertial Sensors. IEEE Sensors Journal. 8(8). 1385–1388. 52 indexed citations
18.
Tan, U-Xuan, Win Tun Latt, Ferdinan Widjaja, et al.. (2008). Tracking control of hysteretic piezoelectric actuator using adaptive rate-dependent controller. Sensors and Actuators A Physical. 150(1). 116–123. 59 indexed citations
19.
Latt, Win Tun, et al.. (2007). System to Assess Accuracy of Micromanipulation. Conference proceedings. 30. 5743–5746. 12 indexed citations
20.
Veluvolu, Kalyana C., U-Xuan Tan, Win Tun Latt, Cheng Yap Shee, & Wei Tech Ang. (2007). Bandlimited Multiple Fourier Linear Combiner for Real-time Tremor Compensation. Conference proceedings. 2007. 2847–2850. 62 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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