Tee Connie

2.4k total citations
99 papers, 1.5k citations indexed

About

Tee Connie is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Tee Connie has authored 99 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Computer Vision and Pattern Recognition, 40 papers in Signal Processing and 23 papers in Information Systems. Recurrent topics in Tee Connie's work include Biometric Identification and Security (39 papers), Gait Recognition and Analysis (21 papers) and User Authentication and Security Systems (17 papers). Tee Connie is often cited by papers focused on Biometric Identification and Security (39 papers), Gait Recognition and Analysis (21 papers) and User Authentication and Security Systems (17 papers). Tee Connie collaborates with scholars based in Malaysia, South Korea and United Kingdom. Tee Connie's co-authors include Andrew Beng Jin Teoh, Michael Kah Ong Goh, Thian Song Ong, David Ngo Chek Ling, David Chek Ling Ngo, Zhe Jin, Pin Shen Teh, Cheng-Yaw Low, Chin Poo Lee and Kian Ming Lim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Tee Connie

88 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
Tee Connie Malaysia 19 1.0k 940 537 174 151 99 1.5k
Fernando Alonso‐Fernandez Sweden 27 1.3k 1.3× 1.3k 1.4× 489 0.9× 214 1.2× 93 0.6× 92 2.1k
James L. Wayman United States 13 1.6k 1.5× 1.2k 1.3× 799 1.5× 145 0.8× 124 0.8× 30 2.0k
Naser Damer Germany 26 1.3k 1.2× 1.9k 2.0× 275 0.5× 50 0.3× 97 0.6× 137 2.4k
Zhe Jin Malaysia 17 853 0.8× 793 0.8× 571 1.1× 31 0.2× 28 0.2× 82 1.1k
Florian Kirchbuchner Germany 21 648 0.6× 963 1.0× 140 0.3× 26 0.1× 91 0.6× 61 1.3k
Chih‐Hsien Hsia Taiwan 20 322 0.3× 895 1.0× 128 0.2× 23 0.1× 64 0.4× 170 1.5k
Annalisa Franco Italy 14 433 0.4× 713 0.8× 110 0.2× 15 0.1× 65 0.4× 56 980
Jang‐Hee Yoo South Korea 17 299 0.3× 826 0.9× 143 0.3× 11 0.1× 357 2.4× 59 1.1k
Saiyed Umer India 15 282 0.3× 480 0.5× 134 0.2× 18 0.1× 33 0.2× 56 816
Ali Chekima Malaysia 14 166 0.2× 259 0.3× 114 0.2× 15 0.1× 107 0.7× 73 634

Countries citing papers authored by Tee Connie

Since Specialization
Citations

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

Fields of papers citing papers by Tee Connie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tee Connie

This figure shows the co-authorship network connecting the top 25 collaborators of Tee Connie. A scholar is included among the top collaborators of Tee Connie 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 Tee Connie. Tee Connie 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.
2.
Connie, Tee, et al.. (2024). Gait-based age group classification with adaptive Graph Neural Network. Engineering Applications of Artificial Intelligence. 137. 109081–109081. 1 indexed citations
3.
Connie, Tee, et al.. (2024). Traffic Violation Detection Using Computer Vision Techniques. SHILAP Revista de lepidopterología. 8(3-2). 1515–1515.
4.
Connie, Tee, et al.. (2024). Integrating Object Detection and Optical Flow Analysis for Real-time Road Accident Detection. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 22–27.
5.
Connie, Tee, et al.. (2024). Abnormal behavior recognition using SRU with attention mechanism. International Journal of Advances in Intelligent Informatics. 10(2). 202–202. 1 indexed citations
6.
Connie, Tee, et al.. (2024). Fall risk prediction using temporal gait features and machine learning approaches. Frontiers in Artificial Intelligence. 7. 1425713–1425713. 7 indexed citations
7.
Goh, Michael Kah Ong, et al.. (2024). Boosting Vehicle Classification with Augmentation Techniques across Multiple YOLO Versions. SHILAP Revista de lepidopterología. 8(1). 45–45. 3 indexed citations
8.
Connie, Tee, et al.. (2024). Vision-Based Gait Analysis for Neurodegenerative Disorders Detection. SHILAP Revista de lepidopterología. 3(1). 136–154. 3 indexed citations
9.
Ong, Thian Song, et al.. (2023). Finger Vein Presentation Attack Detection using Block-wise Variance-based Image Quality Assessment. Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University). 457–462.
10.
Goh, Michael Kah Ong, et al.. (2023). Review of Vision-Based Deep Learning Parking Slot Detection on Surround View Images. Sensors. 23(15). 6869–6869. 11 indexed citations
11.
Connie, Tee, et al.. (2023). Cheating Detection for Online Examination Using Clustering Based Approach. SHILAP Revista de lepidopterología. 7(3-2). 2075–2075. 6 indexed citations
12.
Ong, Thian Song, et al.. (2023). Finger Vein Template Protection with Directional Bloom Filter. HighTech and Innovation Journal. 4(2). 412–433. 2 indexed citations
13.
Connie, Tee, et al.. (2023). Deep Reinforcement Learning-Based Dynamic Pricing for Parking Solutions. Algorithms. 16(1). 32–32. 11 indexed citations
14.
Connie, Tee, et al.. (2023). GenReGait: Gender Recognition using Gait Features. SHILAP Revista de lepidopterología. 2(2). 129–140. 1 indexed citations
15.
Hossen, Md Ismail, et al.. (2023). Stand up Against Bad Intended News: An Approach to Detect Fake News using Machine Learning. Emerging Science Journal. 7(4). 1247–1259. 10 indexed citations
16.
Goh, Michael Kah Ong, et al.. (2023). Traffic Impact Assessment System using Yolov5 and ByteTrack. SHILAP Revista de lepidopterología. 2(2). 168–188. 5 indexed citations
17.
Goh, Michael Kah Ong, et al.. (2022). A YOVO5 Based Real-time Helmet and Mask Detection System. Journal of Logistics Informatics and Service Science. 2 indexed citations
18.
Connie, Tee, et al.. (2022). Forward Collision Warning for Autonomous Driving. Journal of Logistics Informatics and Service Science. 1 indexed citations
19.
Hossen, Md Ismail, Michael Kah Ong Goh, Tee Connie, Siong Hoe Lau, & Ferdous Hossain. (2019). Smartphone-Based Context Flow Recognition for Outdoor Parking System with Machine Learning Approaches. Electronics. 8(7). 784–784. 6 indexed citations
20.
Hossen, Md Ismail, et al.. (2018). A Review on Outdoor Parking Systems Using Feasibility of Mobile Sensors. Lecture notes in electrical engineering. 241–251. 2 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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