Kuan-Ting Lai

1.1k total citations · 1 hit paper
32 papers, 677 citations indexed

About

Kuan-Ting Lai is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Kuan-Ting Lai has authored 32 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Kuan-Ting Lai's work include Video Surveillance and Tracking Methods (10 papers), Advanced Neural Network Applications (7 papers) and Human Pose and Action Recognition (4 papers). Kuan-Ting Lai is often cited by papers focused on Video Surveillance and Tracking Methods (10 papers), Advanced Neural Network Applications (7 papers) and Human Pose and Action Recognition (4 papers). Kuan-Ting Lai collaborates with scholars based in Taiwan, United States and India. Kuan-Ting Lai's co-authors include Mary Baker, Ming-Syan Chen⋆, Shih‐Fu Chang, Felix X. Yu, Michal Feldman, Li Zhang, Chaur‐Heh Hsieh, Guangnan Ye, Iman Beheshti and Dong Liu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Internet of Things Journal and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Kuan-Ting Lai

29 papers receiving 635 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.

Deep learning for brain age estimation: A systematic review

2023 84 citations M. Tanveer, M. A. Ganaie et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuan-Ting Lai Taiwan	12	253	243	152	108	71	32	677
Nadeem Anjum Pakistan	14	98 0.4×	215 0.9×	151 1.0×	75 0.7×	44 0.6×	49	527
Khaled Mohamad Almustafa Saudi Arabia	14	184 0.7×	78 0.3×	198 1.3×	92 0.9×	77 1.1×	56	660
Abdulaziz S. Almazyad Saudi Arabia	13	82 0.3×	184 0.8×	166 1.1×	57 0.5×	77 1.1×	67	560
Mengshu Hou China	14	211 0.8×	115 0.5×	178 1.2×	116 1.1×	85 1.2×	80	653
Binh T. Nguyen Vietnam	14	148 0.6×	165 0.7×	173 1.1×	44 0.4×	43 0.6×	69	512
Ahmed Alahmadi Saudi Arabia	11	139 0.5×	74 0.3×	159 1.0×	95 0.9×	58 0.8×	39	477
Zhaohui Cai China	11	195 0.8×	154 0.6×	200 1.3×	206 1.9×	82 1.2×	38	610
Amit Kishor India	10	252 1.0×	79 0.3×	151 1.0×	68 0.6×	157 2.2×	16	600
Mehr Yahya Durrani Pakistan	11	179 0.7×	73 0.3×	182 1.2×	105 1.0×	81 1.1×	23	534

Countries citing papers authored by Kuan-Ting Lai

Since Specialization

Citations

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

Fields of papers citing papers by Kuan-Ting Lai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan-Ting 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 Kuan-Ting Lai. The network helps show where Kuan-Ting Lai may publish in the future.

Co-authorship network of co-authors of Kuan-Ting Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Kuan-Ting Lai. A scholar is included among the top collaborators of Kuan-Ting 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 Kuan-Ting Lai. Kuan-Ting Lai 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.

Chang, Yin-Jung & Kuan-Ting Lai. (2024). Negative-to-Positive Photoconductance in Plasmonic Nanostrip with Anisotropic Conductivity. 1–2.

2.

Tanveer, M., M. A. Ganaie, Iman Beheshti, et al.. (2023). Deep learning for brain age estimation: A systematic review. Information Fusion. 96. 130–143. 84 indexed citations breakdown →

3.

Lai, Kuan-Ting, et al.. (2023). A Web-based UAV Control System for Intuitive Human-Drone Interaction. 135–136. 1 indexed citations

4.

Huang, Chih-Sheng, et al.. (2023). Augmented Reality for Real Object Detection. 803–804. 2 indexed citations

5.

Beheshti, Iman, Tripti Goel, Kuan-Ting Lai, et al.. (2022). Deep Learning for Brain Age Estimation: A Systematic Review. arXiv (Cornell University). 5 indexed citations

6.

Lai, Kuan-Ting & Guo-Shiang Lin. (2022). A New Light Weight Convolutional Neural Network for Mobile Devices. 349–350. 2 indexed citations

7.

Lai, Kuan-Ting, et al.. (2021). High-efficient Semantic Segmentation for Internet-of-Things-enabled Smart Cameras. 1–2. 1 indexed citations

8.

Lai, Kuan-Ting, et al.. (2021). Research on pedestrian detection using optimized mask R-CNN algorithm in low-light road environment. Journal of Physics Conference Series. 1777(1). 12057–12057. 5 indexed citations

9.

Lai, Kuan-Ting, et al.. (2021). TAGNet: Triplet-Attention Graph Networks for Hashtag Recommendation. IEEE Transactions on Circuits and Systems for Video Technology. 32(3). 1148–1159. 18 indexed citations

10.

Lin, Jia‐Ming, et al.. (2021). Efficient Two-stream Action Recognition on FPGA. 5 indexed citations

11.

Lin, Guo-Shiang, et al.. (2021). Instance Segmentation Based on Deep Convolutional Neural Networks and Transfer Learning for Unconstrained Psoriasis Skin Images. Applied Sciences. 11(7). 3155–3155. 11 indexed citations

12.

Lai, Kuan-Ting, et al.. (2020). Who is the boss? Identifying key roles in telecom fraud network via centrality-guided deep random walk. Data Technologies and Applications. 55(1). 1–18. 3 indexed citations

13.

Lai, Kuan-Ting, et al.. (2019). AnyCharge: An IoT-Based Wireless Charging Service for the Public. IEEE Internet of Things Journal. 6(6). 10888–10901. 9 indexed citations

14.

Marathe, Amar R., J. Stanley Metcalfe, Brent J. Lance, et al.. (2018). The privileged sensing framework: A principled approach to improved human-autonomy integration. Theoretical Issues in Ergonomics Science. 19(3). 283–320. 7 indexed citations

15.

Lai, Kuan-Ting, et al.. (2018). VIVID. 1356–1359. 14 indexed citations

16.

Lai, Kuan-Ting, et al.. (2017). Mining the Networks of Telecommunication Fraud Groups using Social Network Analysis. 1128–1131. 8 indexed citations

17.

Lai, Kuan-Ting, Dong Liu, Shih‐Fu Chang, & Ming-Syan Chen⋆. (2015). Learning Sample Specific Weights for Late Fusion. IEEE Transactions on Image Processing. 24(9). 2772–2783. 17 indexed citations

18.

Lai, Kuan-Ting, Felix X. Yu, Ming-Syan Chen⋆, & Shih‐Fu Chang. (2014). Video Event Detection by Inferring Temporal Instance Labels. 2251–2258. 85 indexed citations

19.

Liu, Dong, Kuan-Ting Lai, Guangnan Ye, Ming-Syan Chen⋆, & Shih‐Fu Chang. (2013). Sample-Specific Late Fusion for Visual Category Recognition. 803–810. 46 indexed citations

20.

Hsieh, Chaur‐Heh, et al.. (2011). Human Action Recognition Using Histogram of Oriented Gradient of Motion History Image. 353–356. 48 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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