Chee‐Onn Chow

1.5k total citations
86 papers, 899 citations indexed

About

Chee‐Onn Chow is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chee‐Onn Chow has authored 86 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Networks and Communications, 31 papers in Electrical and Electronic Engineering and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chee‐Onn Chow's work include Mobile Ad Hoc Networks (22 papers), Cooperative Communication and Network Coding (19 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Chee‐Onn Chow is often cited by papers focused on Mobile Ad Hoc Networks (22 papers), Cooperative Communication and Network Coding (19 papers) and Energy Efficient Wireless Sensor Networks (11 papers). Chee‐Onn Chow collaborates with scholars based in Malaysia, Japan and China. Chee‐Onn Chow's co-authors include Joon Huang Chuah, Hiroshi Ishii, Jeevan Kanesan, Mau‐Luen Tham, Sirous Naeimi, Yang-Lang Chang, Abdallah Abdellatif, Hassan Muwafaq Gheni, Hamdan Abdellatef and Hiroshi Ishii and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Chee‐Onn Chow

76 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chee‐Onn Chow Malaysia 17 315 214 191 163 89 86 899
A. Prasanth India 15 370 1.2× 209 1.0× 206 1.1× 122 0.7× 63 0.7× 36 840
Shakila Basheer Saudi Arabia 17 224 0.7× 224 1.0× 158 0.8× 104 0.6× 67 0.8× 81 839
Omar Bouattane Morocco 18 141 0.4× 342 1.6× 153 0.8× 190 1.2× 151 1.7× 153 1.1k
Baijnath Kaushik India 13 170 0.5× 245 1.1× 169 0.9× 87 0.5× 49 0.6× 57 648
Abdulmajeed Alsufyani Saudi Arabia 19 211 0.7× 289 1.4× 110 0.6× 290 1.8× 48 0.5× 50 1.1k
Avinash Sharma India 18 206 0.7× 195 0.9× 108 0.6× 151 0.9× 62 0.7× 113 964
A. Rajaram India 19 255 0.8× 143 0.7× 355 1.9× 87 0.5× 26 0.3× 71 885
Oğuz Bayat Türkiye 16 211 0.7× 206 1.0× 358 1.9× 161 1.0× 32 0.4× 117 944
Ahmad Almadhor Saudi Arabia 20 361 1.1× 513 2.4× 272 1.4× 193 1.2× 36 0.4× 158 1.5k
Fadwa Alrowais Saudi Arabia 15 206 0.7× 175 0.8× 198 1.0× 91 0.6× 21 0.2× 67 706

Countries citing papers authored by Chee‐Onn Chow

Since Specialization
Citations

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

Fields of papers citing papers by Chee‐Onn Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee‐Onn Chow. 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 Chee‐Onn Chow. The network helps show where Chee‐Onn Chow may publish in the future.

Co-authorship network of co-authors of Chee‐Onn Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Chee‐Onn Chow. A scholar is included among the top collaborators of Chee‐Onn Chow 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 Chee‐Onn Chow. Chee‐Onn Chow 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.
Chow, Chee‐Onn, et al.. (2025). Fusion techniques of frame and event cameras in autonomous driving: A review. Information Fusion. 127. 103697–103697.
3.
Chow, Chee‐Onn, et al.. (2025). Temporal Pyramid Alignment and Adaptive Fusion of Event Stream and Image Frame for Keypoint Detection and Tracking in Autonomous Driving. Alexandria Engineering Journal. 127. 228–238. 1 indexed citations
4.
Zhao, Zhen, Xiaowei Zuo, Joon Huang Chuah, et al.. (2024). Vision transformer-equipped Convolutional Neural Networks for automated Alzheimer's disease diagnosis using 3D MRI scans. Frontiers in Neurology. 15. 1490829–1490829. 1 indexed citations
5.
Tham, Mau‐Luen, et al.. (2024). Deep reinforcement learning based mobility management in a MEC-Enabled cellular IoT network. Pervasive and Mobile Computing. 105. 101987–101987. 1 indexed citations
6.
Chow, Chee‐Onn, et al.. (2024). From darkness to clarity: A comprehensive review of contemporary image shadow removal research (2017–2023). Image and Vision Computing. 148. 105100–105100. 3 indexed citations
7.
Chuah, Joon Huang, et al.. (2023). Artificial intelligent systems for vehicle classification: A survey. Engineering Applications of Artificial Intelligence. 129. 107497–107497. 7 indexed citations
8.
Chow, Chee‐Onn, et al.. (2023). Half-duplex and full-duplex interference mitigation in relays assisted heterogeneous network. PLoS ONE. 18(6). e0286970–e0286970. 1 indexed citations
9.
Chow, Chee‐Onn, et al.. (2023). Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning. Wireless Personal Communications. 129(3). 2213–2237. 41 indexed citations
10.
Zhao, Zhen, Joon Huang Chuah, Khin Wee Lai, et al.. (2023). Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. Frontiers in Computational Neuroscience. 17. 1038636–1038636. 68 indexed citations
11.
Abdellatif, Abdallah, Hamdan Abdellatef, Jeevan Kanesan, et al.. (2022). Improving the Heart Disease Detection and Patients’ Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest. IEEE Access. 10. 67363–67372. 29 indexed citations
12.
Abdellatif, Abdallah, Hamdan Abdellatef, Jeevan Kanesan, et al.. (2022). An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods. IEEE Access. 10. 79974–79985. 50 indexed citations
13.
Chuah, Joon Huang, et al.. (2021). Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification. Sensors. 21(14). 4837–4837. 17 indexed citations
14.
Chuah, Joon Huang, et al.. (2021). YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices. Remote Sensing. 13(21). 4196–4196. 22 indexed citations
15.
Chow, Chee‐Onn, et al.. (2019). Intelligence Framework Based Analysis of Spatial–Temporal Data with Compressive Sensing Using Wireless Sensor Networks. Wireless Personal Communications. 112(1). 91–103. 1 indexed citations
16.
Chow, Chee‐Onn, et al.. (2011). Cross-layer based security solutions for wireless sensor networks. International Journal of the Physical Sciences. 6(17). 4245–4254. 7 indexed citations
17.
Chow, Chee‐Onn, et al.. (2011). EE-RI-MAC: An energy-efficient receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. International Journal of the Physical Sciences. 6(11). 2633–2643. 11 indexed citations
18.
Chow, Chee‐Onn, et al.. (2009). Load-aware Effective Flooding over Ad Hoc Networks.. Parallel and Distributed Processing Techniques and Applications. 602–608.
19.
Chow, Chee‐Onn, et al.. (2007). A Study on QoS of Multipoint-to-Point Packet Streaming over the Wireless Ad Hoc Network Testbed. Parallel and Distributed Processing Techniques and Applications. 608–612. 2 indexed citations
20.
Talli, Giuseppe, Chee‐Onn Chow, P. D. Townsend, et al.. (2007). Integrated metro and access network: PIEMAN (invited paper).. Ghent University Academic Bibliography (Ghent University). 493–500. 8 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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