Qin‐Teng Lai

494 total citations · 1 hit paper
7 papers, 356 citations indexed

About

Qin‐Teng Lai is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Polymers and Plastics. According to data from OpenAlex, Qin‐Teng Lai has authored 7 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Cognitive Neuroscience and 3 papers in Polymers and Plastics. Recurrent topics in Qin‐Teng Lai's work include Advanced Sensor and Energy Harvesting Materials (7 papers), Tactile and Sensory Interactions (4 papers) and Conducting polymers and applications (3 papers). Qin‐Teng Lai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (7 papers), Tactile and Sensory Interactions (4 papers) and Conducting polymers and applications (3 papers). Qin‐Teng Lai collaborates with scholars based in China, United Kingdom and Hong Kong. Qin‐Teng Lai's co-authors include Xin‐Gui Tang, Xinhua Zhao, Zhenhua Tang, Vellaisamy A. L. Roy, Qi‐Jun Sun, Qijun Sun, Qi‐Jun Sun, Wentao Guo, Yihao Xu and Rongbin Li and has published in prestigious journals such as ACS Applied Materials & Interfaces, Small and Nano Energy.

In The Last Decade

Qin‐Teng Lai

7 papers receiving 352 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.

Emerging MXene‐Based Flexible Tactile Sensors for Health Monitoring and Haptic Perception

2023 181 citations Qin‐Teng Lai, Xinhua Zhao et al. Small profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qin‐Teng Lai China	6	305	129	120	88	67	7	356
Leni Zhong China	9	271 0.9×	97 0.8×	122 1.0×	95 1.1×	45 0.7×	11	389
Xincheng Ding China	9	254 0.8×	165 1.3×	174 1.4×	68 0.8×	43 0.6×	10	354
Qi‐Jun Sun China	7	275 0.9×	141 1.1×	97 0.8×	59 0.7×	106 1.6×	18	367
Haotian Guo China	7	249 0.8×	159 1.2×	138 1.1×	61 0.7×	46 0.7×	9	399
Jongyoun Kim South Korea	11	250 0.8×	198 1.5×	147 1.2×	48 0.5×	87 1.3×	26	423
Shaojie Cao China	7	319 1.0×	135 1.0×	135 1.1×	101 1.1×	41 0.6×	9	384
Shuvra Mondal Bangladesh	6	374 1.2×	199 1.5×	174 1.4×	97 1.1×	125 1.9×	21	476
Runxin Xu China	8	296 1.0×	97 0.8×	168 1.4×	61 0.7×	52 0.8×	10	362
Jae‐Man Park South Korea	8	222 0.7×	144 1.1×	141 1.2×	45 0.5×	69 1.0×	16	351
Obiora Onyilagha United States	4	398 1.3×	174 1.3×	183 1.5×	129 1.5×	37 0.6×	5	423

Countries citing papers authored by Qin‐Teng Lai

Since Specialization

Citations

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

Fields of papers citing papers by Qin‐Teng Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin‐Teng Lai. 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 Qin‐Teng Lai. The network helps show where Qin‐Teng Lai may publish in the future.

Co-authorship network of co-authors of Qin‐Teng Lai

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

All Works

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7 of 7 papers shown

1.

Guo, Wentao, Yanqiang Lei, Xinhua Zhao, et al.. (2024). Printed-scalable microstructure BaTiO3/ecoflex nanocomposite for high-performance triboelectric nanogenerators and self-powered human-machine interaction. Nano Energy. 131. 110324–110324. 38 indexed citations

2.

Lai, Qin‐Teng, et al.. (2024). Printing paper-derived ultralight and highly sensitive E-skin for health monitoring and information encryption. Journal of Alloys and Compounds. 976. 173411–173411. 13 indexed citations

3.

Li, Tong, et al.. (2024). Recent Advances in Self-Powered Tactile Sensing for Wearable Electronics. Materials. 17(11). 2493–2493. 1 indexed citations

4.

Lai, Qin‐Teng, Qi‐Jun Sun, Zhenhua Tang, Xin‐Gui Tang, & Xinhua Zhao. (2023). Conjugated Polymer-Based Nanocomposites for Pressure Sensors. Molecules. 28(4). 1627–1627. 25 indexed citations

5.

Zhao, Xinhua, Qin‐Teng Lai, Wentao Guo, et al.. (2023). Skin-Inspired Highly Sensitive Tactile Sensors with Ultrahigh Resolution over a Broad Sensing Range. ACS Applied Materials & Interfaces. 15(25). 30486–30494. 29 indexed citations

6.

Lai, Qin‐Teng, Xinhua Zhao, Qi‐Jun Sun, et al.. (2023). Emerging MXene‐Based Flexible Tactile Sensors for Health Monitoring and Haptic Perception. Small. 19(27). e2300283–e2300283. 181 indexed citations breakdown →

7.

Sun, Qijun, Qin‐Teng Lai, Zhenhua Tang, et al.. (2022). Advanced Functional Composite Materials toward E‐Skin for Health Monitoring and Artificial Intelligence. Advanced Materials Technologies. 8(5). 69 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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