Andrew T. S. Wee

37.0k total citations · 9 hit papers
767 papers, 29.8k citations indexed

About

Andrew T. S. Wee is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Andrew T. S. Wee has authored 767 papers receiving a total of 29.8k indexed citations (citations by other indexed papers that have themselves been cited), including 436 papers in Materials Chemistry, 428 papers in Electrical and Electronic Engineering and 221 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Andrew T. S. Wee's work include Graphene research and applications (153 papers), Semiconductor materials and devices (132 papers) and 2D Materials and Applications (120 papers). Andrew T. S. Wee is often cited by papers focused on Graphene research and applications (153 papers), Semiconductor materials and devices (132 papers) and 2D Materials and Applications (120 papers). Andrew T. S. Wee collaborates with scholars based in Singapore, China and France. Andrew T. S. Wee's co-authors include Wei Chen, Dongchen Qi, Han Huang, Chorng Haur Sow, Kian Ping Loh, Wenjing Zhang, Xing Gao, Yu Huang, Xingyu Gao and C. H. A. Huan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Andrew T. S. Wee

752 papers receiving 29.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Raman Studies of Monolayer Graphene: The Substrate Effect

2008 639 citations Andrew T. S. Wee et al. profile →
Solution-Gated Epitaxial Graphene as pH Sensor

2008 616 citations Andrew T. S. Wee et al. profile →
Fabrication of NiO Nanowall Electrodes for High Performance Lithium Ion Battery

2008 604 citations Andrew T. S. Wee et al. profile →
Monolayer MoSe₂ Grown by Chemical Vapor Deposition for Fast Photodetection

2014 544 citations Wenjing Zhang, Andrew T. S. Wee et al. ACS Nano profile →
Surface Transfer p-Type Doping of Epitaxial Graphene

2007 526 citations Andrew T. S. Wee et al. profile →
Defect Engineering of Two-Dimensional Transition-Metal Dichalcogenides: Applications, Challenges, and Opportunities

2021 370 citations Qijie Liang, Qian Zhang et al. ACS Nano profile →
Phase Diagram and Superconducting Dome of Infinite-Layer Nd1−xSrxNiO2 Thin Films

2020 256 citations Shengwei Zeng, Chi Sin Tang et al. profile →
Recent developments in 2D transition metal dichalcogenides: phase transition and applications of the (quasi-)metallic phases

2021 237 citations Xinmao Yin, Chi Sin Tang et al. profile →
Two-dimensional ferroelectricity in a single-element bismuth monolayer

2023 147 citations Jian Gou, Ariando Ariando et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew T. S. Wee Singapore	84	20.1k	15.4k	6.5k	5.4k	4.7k	767	29.8k
Lian‐Mao Peng China	81	18.9k 0.9×	11.4k 0.7×	7.6k 1.2×	3.9k 0.7×	4.0k 0.9×	579	28.1k
Qian Wang China	81	23.3k 1.2×	13.1k 0.8×	5.4k 0.8×	5.3k 1.0×	4.7k 1.0×	706	33.3k
Deren Yang China	80	17.6k 0.9×	18.9k 1.2×	5.0k 0.8×	3.4k 0.6×	5.6k 1.2×	1.1k	29.1k
Yves J. Chabal United States	96	20.4k 1.0×	17.6k 1.1×	6.7k 1.0×	8.1k 1.5×	4.2k 0.9×	477	34.7k
F. Schedin United Kingdom	29	25.6k 1.3×	12.0k 0.8×	8.8k 1.4×	7.1k 1.3×	4.5k 0.9×	59	31.1k
Jannik C. Meyer Austria	57	24.7k 1.2×	10.9k 0.7×	8.2k 1.3×	4.5k 0.8×	4.4k 0.9×	163	30.8k
Andrew M. Rappe United States	80	18.9k 0.9×	12.2k 0.8×	3.7k 0.6×	7.7k 1.4×	7.6k 1.6×	379	26.2k
Xiao Wei Sun China	93	23.9k 1.2×	25.2k 1.6×	6.3k 1.0×	4.9k 0.9×	7.6k 1.6×	1.3k	39.0k
Luigi Colombo United States	55	32.2k 1.6×	19.2k 1.2×	11.8k 1.8×	5.2k 1.0×	6.0k 1.3×	222	40.9k
Kyeongjae Cho United States	78	20.7k 1.0×	15.6k 1.0×	5.4k 0.8×	3.5k 0.6×	3.1k 0.7×	432	29.6k

Countries citing papers authored by Andrew T. S. Wee

Since Specialization

Citations

This map shows the geographic impact of Andrew T. S. Wee'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 Andrew T. S. Wee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. S. Wee more than expected).

Fields of papers citing papers by Andrew T. S. Wee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew T. S. Wee. 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 Andrew T. S. Wee. The network helps show where Andrew T. S. Wee may publish in the future.

Co-authorship network of co-authors of Andrew T. S. Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. S. Wee. A scholar is included among the top collaborators of Andrew T. S. Wee 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 Andrew T. S. Wee. Andrew T. S. Wee 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

Wee, Andrew T. S., Hu Young Jeong, Pavan Pujar, et al.. (2025). Enhancing Nonenzymatic Glucose Detection Through Cobalt‐Substituted Hafnia. Advanced Science. 12(15). e2408687–e2408687. 2 indexed citations

Zhou, Liguo, Giovanni Vinai, Simon A. Morton, et al.. (2024). When Machine Learning Meets 2D Materials: A Review. Advanced Science. 11(13). e2305277–e2305277. 68 indexed citations

Wang, Chenghong, Xinlei Liu, Xinmao Yin, et al.. (2024). Zirconium-based nanoclusters as molecular robots for water decontamination. Journal of Colloid and Interface Science. 678(Pt B). 938–945. 1 indexed citations

Dai, Changhao, Huiwen Xiong, Rui He, et al.. (2024). Electro‐Optical Multiclassification Platform for Minimizing Occasional Inaccuracy in Point‐of‐Care Biomarker Detection. Advanced Materials. 36(15). 14 indexed citations

Noviyanto, Alfian, et al.. (2023). Anomalous Temperature-Induced Particle Size Reduction in Manganese Oxide Nanoparticles. ACS Omega. 8(47). 45152–45162. 6 indexed citations

Koh, See Wee, Arramel Arramel, Muhammad Danang Birowosuto, et al.. (2023). Tuning the Work Function of MXene via Surface Functionalization. ACS Applied Materials & Interfaces. 16(49). 66826–66836. 39 indexed citations

Wang, Zhuoqun, et al.. (2023). On-Surface Synthesis and Applications of 2D Covalent Organic Framework Nanosheets. SHILAP Revista de lepidopterología. 4(2). 49–61. 7 indexed citations

Tang, Chi Sin, Shengwei Zeng, Caozheng Diao, et al.. (2022). Two-dimensional charge localization at the perovskite oxide interface. Applied Physics Reviews. 9(3).

Tagani, Meysam Bagheri, Lijie Zhang, Lijie Zhang, et al.. (2022). Electronic Tuning in WSe₂/Au via van der Waals Interface Twisting and Intercalation. ACS Nano. 16(4). 6541–6551. 28 indexed citations

10.

Uddin, Nasir, Julien Langley, Chao Zhang, et al.. (2021). Zero-emission multivalorization of light alcohols with self-separable pure H2 fuel. Applied Catalysis B: Environmental. 292. 120212–120212. 9 indexed citations

11.

Liang, Qijie, Qian Zhang, Jian Gou, et al.. (2020). Performance Improvement by Ozone Treatment of 2D PdSe₂. ACS Nano. 14(5). 5668–5677. 67 indexed citations

12.

Arramel, Arramel, Aozhen Xie, Xinmao Yin, et al.. (2020). Electronic and Optical Modulation of Metal-Doped Hybrid Organic–Inorganic Perovskites Crystals by Post-Treatment Control. ACS Applied Energy Materials. 3(8). 7500–7511. 12 indexed citations

13.

Xie, Aozhen, Chathuranga Hettiarachchi, Francesco Maddalena, et al.. (2020). Lithium-doped two-dimensional perovskite scintillator for wide-range radiation detection. Communications Materials. 1(1). 102 indexed citations

14.

Qi, Dianyu, Cheng Han, Ximing Rong, et al.. (2019). Continuously Tuning Electronic Properties of Few-Layer Molybdenum Ditelluride with in Situ Aluminum Modification toward Ultrahigh Gain Complementary Inverters. ACS Nano. 13(8). 9464–9472. 42 indexed citations

15.

Das, Pranab K., T. Whitcher, Ming Yang, et al.. (2019). Electronic correlation determining correlated plasmons in Sb-doped Bi2Se3. Physical review. B.. 100(11). 5 indexed citations

16.

Zhang, Wen, Ping Kwan Johnny Wong, Rui Zhu, & Andrew T. S. Wee. (2019). Van der Waals magnets: Wonder building blocks for two‐dimensional spintronics?. InfoMat. 1(4). 479–495. 99 indexed citations

17.

Chen, Xin, Zhuo Wang, Lei Wang, et al.. (2018). Investigating the dynamics of excitons in monolayer WSe₂ before and after organic super acid treatment. Nanoscale. 10(19). 9346–9352. 11 indexed citations

18.

Zou, Jing, Shengli Wu, Yi Liu, et al.. (2018). An ultra-sensitive electrochemical sensor based on 2D g-C3N4/CuO nanocomposites for dopamine detection. Carbon. 130. 652–663. 326 indexed citations

19.

Li, Menglin, Donghua Liu, Dacheng Wei, et al.. (2016). Controllable Synthesis of Graphene by Plasma‐Enhanced Chemical Vapor Deposition and Its Related Applications. Advanced Science. 3(11). 1600003–1600003. 175 indexed citations

20.

Wee, Andrew T. S., Z. C. Feng, Huey Hoon Hng, et al.. (1995). XPS and SIMS studies of MBE-grown CdTe/InSb(001) heterostructures. Journal of Physics Condensed Matter. 7(23). 4359–4369. 15 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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