J. Tan

709 total citations
28 papers, 526 citations indexed

About

J. Tan is a scholar working on Electrical and Electronic Engineering, Clinical Psychology and Materials Chemistry. According to data from OpenAlex, J. Tan has authored 28 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 5 papers in Clinical Psychology and 5 papers in Materials Chemistry. Recurrent topics in J. Tan's work include Silicon and Solar Cell Technologies (12 papers), Thin-Film Transistor Technologies (7 papers) and Silicon Nanostructures and Photoluminescence (5 papers). J. Tan is often cited by papers focused on Silicon and Solar Cell Technologies (12 papers), Thin-Film Transistor Technologies (7 papers) and Silicon Nanostructures and Photoluminescence (5 papers). J. Tan collaborates with scholars based in Australia, United Kingdom and Singapore. J. Tan's co-authors include Daniel Macdonald, Thorsten Trupke, A. Cuevas, Shefaly Shorey, Ramkumar Aishworiya, Esperanza Debby Ng, Nicholas E. Grant, Armin Richter, Martin C. Schubert and Jan Schmidt and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

In The Last Decade

J. Tan

28 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Tan Australia	12	375	148	87	74	25	28	526
Xinli Zhu China	13	144 0.4×	56 0.4×	239 2.7×	96 1.3×	24 1.0×	29	656
Shota Ogawa Japan	13	184 0.5×	113 0.8×	46 0.5×	28 0.4×	5 0.2×	60	413
Yen-Hsun Huang Taiwan	11	166 0.4×	41 0.3×	214 2.5×	140 1.9×	33 1.3×	22	505
François Royer France	14	439 1.2×	237 1.6×	204 2.3×	57 0.8×	5 0.2×	63	834
Liyuan Ye China	12	98 0.3×	37 0.3×	97 1.1×	269 3.6×	12 0.5×	25	660
Chris Kang United States	8	143 0.4×	32 0.2×	184 2.1×	152 2.1×	18 0.7×	17	465
Heng Shao China	11	219 0.6×	34 0.2×	130 1.5×	20 0.3×	8 0.3×	33	476
Fiona Barry United Kingdom	11	128 0.3×	35 0.2×	76 0.9×	168 2.3×	27 1.1×	19	469
Soeun Kim South Korea	15	270 0.7×	196 1.3×	33 0.4×	220 3.0×	12 0.5×	39	621

Countries citing papers authored by J. Tan

Since Specialization

Citations

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

Fields of papers citing papers by J. Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Tan

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

All Works

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20 of 20 papers shown

Wong, Kok‐Seng, et al.. (2025). Teamwork between registered nurses and unlicensed assistive personnel in acute care settings: A scoping review. International Journal of Nursing Studies Advances. 8. 100293–100293. 1 indexed citations

Shorey, Shefaly, et al.. (2021). Erratum to: Families with Children with Neurodevelopmental Disorders during COVID-19: A Scoping Review. Journal of Pediatric Psychology. 46(6). 729–729. 1 indexed citations

Szlyk, Hannah S., J. Tan, & Rebecca Lengnick‐Hall. (2021). Innovating Technology-Enhanced Interventions for Youth Suicide: Insights for Measuring Implementation Outcomes. Frontiers in Psychology. 12. 657303–657303. 3 indexed citations

Shorey, Shefaly, et al.. (2021). Families With Children With Neurodevelopmental Disorders During COVID-19: A Scoping Review. Journal of Pediatric Psychology. 46(5). 514–525. 59 indexed citations

Niewelt, Tim, Bernd Steinhauser, Armin Richter, et al.. (2021). Reassessment of the intrinsic bulk recombination in crystalline silicon. Solar Energy Materials and Solar Cells. 235. 111467–111467. 97 indexed citations

Szlyk, Hannah S. & J. Tan. (2020). The Role of Technology and the Continuum of Care for Youth Suicidality: Systematic Review. Journal of Medical Internet Research. 22(10). e18672–e18672. 9 indexed citations

Wong, Yu Jun, et al.. (2019). Short- and long-term predictors of spontaneous bacterial peritonitis in Singapore. Singapore Medical Journal. 61(8). 419–425. 8 indexed citations

Teo, C.L., et al.. (2017). Upper limb habilitation in children with hemiplegic cerebral palsy using a novel paediatric robotic device – Results from a Pilot Study. European Journal of Paediatric Neurology. 21. e146–e146. 2 indexed citations

Tan, J., et al.. (2017). Efficacy of multisystemic therapy in youths aged 10–17 with severe antisocial behaviour and emotional disorders: systematic review. London Journal of Primary Care. 9(6). 95–103. 12 indexed citations

10.

Tan, J., et al.. (2015). Pediatric rehabilitation with the reachMAN's modular handle. PubMed. 2015. 3933–3936. 12 indexed citations

11.

Yang, Deshan, et al.. (2013). WE‐G‐108‐03: Development of a Computer Software Program to Perform Comprehensive Plan Quality Evaluation. Medical Physics. 40(6Part30). 501–501. 2 indexed citations

12.

Tan, J., Kari Rönkkö, & Çiğdem Gencel. (2013). A Framework for Software Usability and User Experience Measurement in Mobile Industry. KTH Publication Database DiVA (KTH Royal Institute of Technology). 156–164. 19 indexed citations

13.

Grant, Nicholas E., Keith R. McIntosh, J. Tan, et al.. (2013). Light Enhanced Hydrofluoric Acid Passivation for Evaluating Silicon Bulk Lifetimes. EU PVSEC. 883–887. 4 indexed citations

14.

Tan, J., Daniel Macdonald, Fiacre Rougieux, & A. Cuevas. (2011). Accurate measurement of the formation rate of iron–boron pairs in silicon. Semiconductor Science and Technology. 26(5). 55019–55019. 24 indexed citations

15.

Tan, J.. (2009). FOUUX : A Framework for Usability & User Experience. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

16.

Macdonald, Daniel & J. Tan. (2009). ChemInform Abstract: Impurities in Solar‐Grade Silicon. ChemInform. 40(47). 2 indexed citations

17.

Macdonald, Daniel, J. Tan, & Thorsten Trupke. (2008). Imaging interstitial iron concentrations in boron-doped crystalline silicon using photoluminescence. Journal of Applied Physics. 103(7). 160 indexed citations

18.

Macdonald, Daniel & J. Tan. (2007). Impurities in solar-grade silicon. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6800. 68000X–68000X. 11 indexed citations

19.

Coleman, P. G., Ruth E. Harding, G.J. Davies, J. Tan, & J. Wong‐Leung. (2006). The formation, migration, agglomeration and annealing of vacancy-type defects in self-implanted Si. Journal of Materials Science Materials in Electronics. 18(7). 695–700. 8 indexed citations

20.

Hayama, Shusaku, G. Davies, J. Tan, et al.. (2004). Lattice isotope effects on optical transitions in silicon. Physical Review B. 70(3). 19 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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