David Tan

2.5k total citations
48 papers, 1.5k citations indexed

About

David Tan is a scholar working on Atmospheric Science, Global and Planetary Change and Mechanical Engineering. According to data from OpenAlex, David Tan has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 15 papers in Mechanical Engineering. Recurrent topics in David Tan's work include Atmospheric chemistry and aerosols (20 papers), Atmospheric Ozone and Climate (16 papers) and Innovative Energy Harvesting Technologies (14 papers). David Tan is often cited by papers focused on Atmospheric chemistry and aerosols (20 papers), Atmospheric Ozone and Climate (16 papers) and Innovative Energy Harvesting Technologies (14 papers). David Tan collaborates with scholars based in United States, Tunisia and Japan. David Tan's co-authors include Alper Ertürk, W. H. Brune, I. C. Faloona, G. W. Sachse, Carlos De Marqui, Lyatt Jaeglé, H. B. Singh, D. R. Blake, Hartwig Harder and Mònica Martínez and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Applied Physics Letters and Geophysical Research Letters.

In The Last Decade

David Tan

46 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Tan United States 23 1.1k 687 305 205 193 48 1.5k
Dengxin Hua China 17 445 0.4× 634 0.9× 57 0.2× 114 0.6× 46 0.2× 183 1.2k
Timothy A. Berkoff United States 23 663 0.6× 589 0.9× 101 0.3× 95 0.5× 61 0.3× 91 2.6k
Bernd Bitnar Switzerland 16 942 0.9× 603 0.9× 592 1.9× 60 0.3× 52 0.3× 36 1.8k
Yuanhang Zhang China 17 656 0.6× 386 0.6× 437 1.4× 61 0.3× 74 0.4× 42 1.0k
J. D. Fast United States 17 813 0.8× 649 0.9× 319 1.0× 33 0.2× 109 0.6× 32 1.2k
S. Gagné Canada 17 688 0.6× 452 0.7× 275 0.9× 56 0.3× 26 0.1× 33 999
Andrea Merlone Italy 17 376 0.3× 206 0.3× 31 0.1× 167 0.8× 150 0.8× 90 1.0k
Matthew J. Dunn Australia 23 594 0.6× 282 0.4× 242 0.8× 94 0.5× 19 0.1× 54 2.0k
Huiwen Xue China 25 1.9k 1.7× 1.9k 2.7× 473 1.6× 54 0.3× 90 0.5× 96 3.3k
Silvana De Iuliis Italy 19 460 0.4× 76 0.1× 68 0.2× 148 0.7× 44 0.2× 51 1.2k

Countries citing papers authored by David Tan

Since Specialization
Citations

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

Fields of papers citing papers by David Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Tan

This figure shows the co-authorship network connecting the top 25 collaborators of David Tan. A scholar is included among the top collaborators of David 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 David Tan. David Tan 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.
Xu, Hao, et al.. (2025). Fatigue crack prediction based on distributed optical fiber sensing data and dynamic Bayesian network. Measurement. 255. 118070–118070. 1 indexed citations
2.
Du, Shigui, et al.. (2025). Optimization and scheduling of combined heat and power system considering wind power uncertainty and demand response. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 44(2). 248–267. 1 indexed citations
3.
Pérez, Alfredo J., Sherali Zeadally, & David Tan. (2023). Detecting Mobile Malware Associated With Global Pandemics. IEEE Pervasive Computing. 22(4). 45–54. 1 indexed citations
4.
Tan, David, et al.. (2021). Trout-like multifunctional piezoelectric robotic fish and energy harvester. Bioinspiration & Biomimetics. 16(4). 46024–46024. 33 indexed citations
5.
6.
Tan, David, et al.. (2019). Vibration attenuation in a nonlinear flexible structure via nonlinear switching circuits and energy harvesting implications. Journal of Intelligent Material Systems and Structures. 30(7). 965–976. 10 indexed citations
7.
Tan, David, et al.. (2018). Resonant nonlinearities of piezoelectric macro-fiber composite cantilevers with interdigitated electrodes in energy harvesting. Nonlinear Dynamics. 92(4). 1935–1945. 26 indexed citations
8.
Tan, David, et al.. (2017). An experimentally validated model for geometrically nonlinear plucking-based frequency up-conversion in energy harvesting. Smart Materials and Structures. 27(1). 15024–15024. 56 indexed citations
9.
10.
Su, Zhongbo, W. Timmermans, Yijian Zeng, et al.. (2017). An Overview of European Efforts in Generating Climate Data Records. Bulletin of the American Meteorological Society. 99(2). 349–359. 25 indexed citations
11.
Shahab, Shima, David Tan, & Alper Ertürk. (2015). Hydrodynamic thrust generation and power consumption investigations for piezoelectric fins with different aspect ratios. The European Physical Journal Special Topics. 224(17-18). 3419–3434. 17 indexed citations
12.
Tan, David, et al.. (2006). Narrow-linewidth, tunable ultraviolet, Ti:sapphire laser for environmental sensing. Applied Optics. 45(10). 2306–2306. 10 indexed citations
13.
Olson, J. R., J. H. Crawford, Gao Chen, et al.. (2006). A reevaluation of airborne HOx observations from NASA field campaigns. Journal of Geophysical Research Atmospheres. 111(D10). 41 indexed citations
14.
Liao, Wei, et al.. (2005). Development of a photo-fragmentation/laser-induced fluorescence measurement of atmospheric nitrous acid. Atmospheric Environment. 40(1). 17–26. 27 indexed citations
15.
Faloona, I. C., David Tan, R. Lesher, et al.. (2004). A Laser-induced Fluorescence Instrument for Detecting Tropospheric OH and HO2: Characteristics and Calibration. Journal of Atmospheric Chemistry. 47(2). 139–167. 137 indexed citations
16.
Ren, Xinrong, Hartwig Harder, Mònica Martínez, et al.. (2004). Interference Testing for Atmospheric HOx Measurements by Laser-induced Fluorescence. Journal of Atmospheric Chemistry. 47(2). 169–190. 38 indexed citations
17.
Hamlin, Amy, J. H. Crawford, J. R. Olson, et al.. (2002). Chemical Evolution of Ozone and Its Precursors in Asian Pacific Rim Outflow During TRACE-P. AGU Fall Meeting Abstracts. 2002. 1 indexed citations
18.
Sillman, Sanford, Mary Anne Carroll, Troy Thornberry, et al.. (2002). Loss of isoprene and sources of nighttime OH radicals at a rural site in the United States: Results from photochemical models. Journal of Geophysical Research Atmospheres. 107(D5). 28 indexed citations
19.
Twohy, C. H., C.F. Clement, B. W. Gandrud, et al.. (2002). Deep convection as a source of new particles in the midlatitude upper troposphere. Journal of Geophysical Research Atmospheres. 107(D21). 86 indexed citations
20.
Faloona, I. C., David Tan, W. H. Brune, et al.. (2000). Observations of HOx and its relationship with NOx in the upper troposphere during SONEX. Journal of Geophysical Research Atmospheres. 105(D3). 3771–3783. 56 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dengxin Hua Breakdown of academic impact, for papers by Timothy A. Berkoff Breakdown of academic impact, for papers by Bernd Bitnar Breakdown of academic impact, for papers by Yuanhang Zhang Breakdown of academic impact, for papers by J. D. Fast Breakdown of academic impact, for papers by S. Gagné Breakdown of academic impact, for papers by Andrea Merlone Breakdown of academic impact, for papers by Matthew J. Dunn Breakdown of academic impact, for papers by Huiwen Xue Breakdown of academic impact, for papers by Silvana De Iuliis
Rankless by CCL
2026