Philip Tan

892 total citations · 3 hit papers
32 papers, 697 citations indexed

About

Philip Tan is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Philip Tan has authored 32 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Philip Tan's work include Advancements in Semiconductor Devices and Circuit Design (18 papers), Semiconductor materials and devices (12 papers) and Silicon Carbide Semiconductor Technologies (8 papers). Philip Tan is often cited by papers focused on Advancements in Semiconductor Devices and Circuit Design (18 papers), Semiconductor materials and devices (12 papers) and Silicon Carbide Semiconductor Technologies (8 papers). Philip Tan collaborates with scholars based in Malaysia, United States and Singapore. Philip Tan's co-authors include Nanshu Lu, Hongwoo Jang, Yifan Rao, Siyi Liu, Kyoungho Ha, Hochul Hwang, Seung-Min Kang, Liu Wang, Weiyi Zhang and Othman Sidek and has published in prestigious journals such as Chemical Reviews, Advanced Materials and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Philip Tan

30 papers receiving 681 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Highly Sensitive Capacitive Pressure Sensors over a Wide Pressure Range Enabled by the Hybrid Responses of a Highly Porous Nanocomposite

2021 289 citations Philip Tan, Nanshu Lu et al. profile →
Strategies for body-conformable electronics

2022 204 citations Philip Tan, Nanshu Lu et al. profile →
E-Tattoos: Toward Functional but Imperceptible Interfacing with Human Skin

2024 68 citations Philip Tan, Nanshu Lu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Tan Malaysia	8	547	241	203	194	65	32	697
Rachel Gehlhar United States	6	554 1.0×	193 0.8×	144 0.7×	168 0.9×	71 1.1×	8	652
Adam Dai United States	4	464 0.8×	192 0.8×	144 0.7×	165 0.9×	68 1.0×	8	577
Kenichiro Kanao Japan	7	510 0.9×	257 1.1×	196 1.0×	165 0.9×	67 1.0×	12	572
Qi Su China	12	619 1.1×	271 1.1×	254 1.3×	262 1.4×	69 1.1×	27	735
Wonjeong Suh South Korea	6	628 1.1×	233 1.0×	270 1.3×	236 1.2×	90 1.4×	6	706
Seunghwan Lee South Korea	12	596 1.1×	245 1.0×	214 1.1×	263 1.4×	89 1.4×	19	678
Raz Leib Germany	10	587 1.1×	198 0.8×	391 1.9×	193 1.0×	67 1.0×	26	741
D. Neelima Patnaik India	5	651 1.2×	287 1.2×	142 0.7×	233 1.2×	76 1.2×	12	732
Seung‐Rok Kim South Korea	11	602 1.1×	219 0.9×	189 0.9×	299 1.5×	65 1.0×	18	683
Youlin Zhou China	10	592 1.1×	224 0.9×	307 1.5×	160 0.8×	90 1.4×	11	696

Countries citing papers authored by Philip Tan

Since Specialization

Citations

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

Fields of papers citing papers by Philip Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Tan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bhattacharya, Smiti, et al.. (2024). Cardiac Time Intervals Under Motion Using Bimodal Chest E-Tattoos and Multistage Processing. IEEE Transactions on Biomedical Engineering. 72(1). 413–424. 4 indexed citations

2.

Wang, Eric, et al.. (2024). Exploring Arterial and Venous Oxygenation Separation with Multichannel PPG^*. 1–4.

3.

Tan, Philip, Pulin Wang, Hirofumi Tanaka, et al.. (2023). A Chest‐Conformable, Wireless Electro‐Mechanical E‐Tattoo for Measuring Multiple Cardiac Time Intervals. Advanced Electronic Materials. 9(9). 23 indexed citations

4.

Tan, Philip, et al.. (2023). Towards Simultaneous Noninvasive Arterial and Venous Oxygenation Monitoring with Wearable E-Tattoo*. PubMed. 16. 1–4. 3 indexed citations

5.

Pan, Henry, et al.. (2022). Salmonella Mississippi: An unusual cause of renal abscess in an immunocompetent patient. Urology Case Reports. 45. 102197–102197.

6.

Tan, Philip, et al.. (2020). A Complete Model of Gate Controlled Lateral PNP Devices in CMOS Technology Valid in All Regions of Operation. sc 9. 1–4. 1 indexed citations

7.

Tan, Philip, et al.. (2018). Corner Mismatch Model for Fast Non-Monte Carlo Best and Worst Cases Simulation. 230–233. 3 indexed citations

8.

Tan, Philip & Jeffrey J. Saucerman. (2018). Enhancing Learning and Engagement through Gamification of Student Response Systems. 17 indexed citations

9.

Tan, Philip, et al.. (2016). Modeling of MOSFET subthreshold swing mismatch with BSIM4 Model. 86–88. 4 indexed citations

10.

Tan, Philip, et al.. (2016). Shallow Trench Isolation stress effect on CMOS transistors with different channel orientations. 228–231. 2 indexed citations

11.

Tan, Philip, et al.. (2015). High voltage MOS modeling with BSIM4 sub-circuit model. e82. 155–160. 2 indexed citations

12.

Tan, Philip, Kok Khiang Peh, Chee‐Yuen Gan, & Min‐Tze Liong. (2014). Bioactive dairy ingredients for food and non-food applications. Acta Alimentaria. 43(1). 113–123. 11 indexed citations

13.

Tan, Philip, et al.. (2006). Analysis of Deep Submicron CMOS Transistor Vtlin and Idsat versus Channel Width. 3. 1–4. 13 indexed citations

14.

Tay, Joc Cing & Philip Tan. (2006). Finding Intervention Points in the Pathogenesis of Dengue Viral Infection. Conference proceedings. 1 indexed citations

15.

Tan, Philip, et al.. (2006). Layout Dependence Effect on High Speed CMOS Transistor Leakage Current. 318–321. 5 indexed citations

16.

Tan, Philip, et al.. (2006). Compact Modeling of Mechanical STI y-Stress Effect. 1450–1452. 7 indexed citations

17.

Tan, Philip, et al.. (2006). Analysis of Poly Resistor Mismatch. 1028–1029. 2 indexed citations

18.

Tan, Philip, et al.. (2004). Simplified Half-Flash CMOS Analog-to-Digital Converter. TechConnect Briefs. 2(2004). 191–194. 2 indexed citations

19.

Tan, Philip, et al.. (2004). Effect of shallow trench isolation induced stress on CMOS transistor mismatch. 4 pp.–4 pp.. 2 indexed citations

20.

Tan, Philip & Yung C. Liang. (2002). Performance analysis of MOS-controlled bipolar power devices. 87–92. 1 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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